Proceedings of the 23rd International Conference on Pattern Recognition
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
EDIT!
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter


Proceedings of the 23rd International Conference on Pattern Recognition
ICPR, 2016.

KER
DBLP
Scholar
?EE?
Full names Links ISxN
@proceedings{ICPR-2016,
	ee            = "https://ieeexplore.ieee.org/xpl/conhome/7893644/proceeding",
	isbn          = "978-1-5090-4847-2",
	publisher     = "{IEEE}",
	title         = "{Proceedings of the 23rd International Conference on Pattern Recognition}",
	year          = 2016,
}

Contents (708 items)

ICPR-2016-GrantSZG #network #predict #visualisation
Predicting and visualizing psychological attributions with a deep neural network (EG, SS, MZ, MvG), pp. 1–6.
ICPR-2016-WangLLGTO #gesture #network #recognition #scalability #using
Large-scale Isolated Gesture Recognition using Convolutional Neural Networks (PW, WL, SL, ZG, CT, PO), pp. 7–12.
ICPR-2016-WangLLZGO #gesture #network #recognition #scalability #using
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks (PW, WL, SL, YZ, ZG, PO), pp. 13–18.
ICPR-2016-ZhuZMSSS #3d #gesture #network #recognition #scalability #using
Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (GZ, LZ0, LM, JS, JS, PS), pp. 19–24.
ICPR-2016-LiMTFXLS #3d #data-driven #database #gesture #recognition #scalability
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model (YL, QM, KT, YF, XX, RL, JS), pp. 25–30.
ICPR-2016-ChaiLYLC #gesture #network #recognition #scalability
Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition (XC, ZL, FY, ZL, XC), pp. 31–36.
ICPR-2016-AydinKAA #automation #predict #random #using
Automatic personality prediction from audiovisual data using random forest regression (BA, AAK, OA, LA), pp. 37–42.
ICPR-2016-GurpinarKS #estimation #multimodal
Multimodal fusion of audio, scene, and face features for first impression estimation (FG, HK, AAS), pp. 43–48.
ICPR-2016-CamgozHKB #3d #gesture #independence #network #recognition #using
Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition (NCC, SH, OK, RB), pp. 49–54.
ICPR-2016-Rai #recognition
Bi-modal regression for Apparent Personality trait Recognition (NR), pp. 55–60.
ICPR-2016-NorooziMNEA #classification #predict #recognition
Fusion of classifier predictions for audio-visual emotion recognition (FN, MM, AN, SE, GA), pp. 61–66.
ICPR-2016-EscalanteP0RCCE #analysis #challenge #contest #multi #overview #perspective #visual notation
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview (HJE, VPL, JW0, MAR, BC, AC, SE, IG, XB, PH, HM, MAL), pp. 67–73.
ICPR-2016-LovellPSVW #analysis #contest #image #pattern matching #pattern recognition #recognition
International Contest on Pattern Recognition techniques for indirect immunofluorescence images analysis (BCL, GP, AS, MV, AW), pp. 74–76.
ICPR-2016-JiaSZY #classification #network
Deep convolutional neural network based HEp-2 cell classification (XJ, LS, XZ, SY), pp. 77–80.
ICPR-2016-Al-DulaimiBTC #automation #geometry #image #segmentation #set #using
Automatic segmentation of HEp-2 cell Fluorescence microscope images using level set method via geometric active contours (KAD, JB, ITR, VC), pp. 81–83.
ICPR-2016-BSSH #approach #classification #network #using
HEp-2 cell classification using artificial neural network approach (DB, KS, NH), pp. 84–89.
ICPR-2016-PrasathKOGHSP #classification #random #segmentation #using
HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests (VBSP, YMK, ZAO, JBG, AH, GS, KP), pp. 90–95.
ICPR-2016-LiSZY #classification #network
HEp-2 specimen classification with fully convolutional network (YL, LS, XZ, SY), pp. 96–100.
ICPR-2016-HalfaouiBU #estimation
CNN-based initial background estimation (IH, FB, OU), pp. 101–106.
ICPR-2016-LaugraudPD #generative #named
LaBGen-P: A pixel-level stationary background generation method based on LaBGen (BL, SP, MVD), pp. 107–113.
ICPR-2016-OrtegoSM #dataset #estimation #multi #re-engineering
Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset (DO, JCS, JMM0), pp. 114–119.
ICPR-2016-JavedJMB #graph #modelling
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes (SJ, SKJ, AM, TB), pp. 120–125.
ICPR-2016-MinematsuST #analysis #bidirectional
Background initialization based on bidirectional analysis and consensus voting (TM, AS, RiT), pp. 126–131.
ICPR-2016-LiuCZLG #estimation
Scene background estimation based on temporal median filter with Gaussian filtering (WL0, YC, MZ, HL, HG), pp. 132–136.
ICPR-2016-MurguiaRA #adaptation #architecture #dataset #evaluation #modelling #network #parallel
Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset (MICM, JARQ, GRA), pp. 137–142.
ICPR-2016-MaddalenaP #image #multi
Extracting a background image by a multi-modal scene background model (LM0, AP), pp. 143–148.
ICPR-2016-SantanaMNNP #challenge #contest #evaluation #mobile
Mobile Iris CHallenge Evaluation II: Results from the ICPR competition (MCS, MDM, MN, FN, HP), pp. 149–154.
ICPR-2016-AbateBGN #mobile #named #recognition
SKIPSOM: Skewness & kurtosis of iris pixels in Self Organizing Maps for iris recognition on mobile devices (AFA, SB, LG, FN), pp. 155–159.
ICPR-2016-GaldiD #mobile #performance #recognition
Fusing iris colour and texture information for fast iris recognition on mobile devices (CG, JLD), pp. 160–164.
ICPR-2016-AginakoMSSL #mobile #verification
Local descriptors fusion for mobile iris verification (NA, JMMO, BS, MCS, JLN), pp. 165–169.
ICPR-2016-AginakoMRLS #approach #difference #machine learning
Machine Learning approach to dissimilarity computation: Iris matching (NA, JMMO, IRR, EL, BS), pp. 170–175.
ICPR-2016-AhmedCSNN #image #smarttech #using
Using fusion of iris code and periocular biometric for matching visible spectrum iris images captured by smart phone cameras (NUA, SC, EHS, AN, IN), pp. 176–180.
ICPR-2016-AhujaIBD #case study #verification
A preliminary study of CNNs for iris and periocular verification in the visible spectrum (KA, RI, FAB, KD), pp. 181–186.
ICPR-2016-ZayeneHTMHIA #contest #detection #recognition #video
ICPR2016 contest on Arabic Text detection and Recognition in video frames - AcTiVComp (OZ, NH, SMT, SBM, JH, RI, NEBA), pp. 187–191.
ICPR-2016-MeijerT #set #validation
Regularizing AdaBoost with validation sets of increasing size (DWJM, DMJT), pp. 192–197.
ICPR-2016-ZorYMWKA #matrix #named #optimisation
BeamECOC: A local search for the optimization of the ECOC matrix (CZ, BAY, EM, TW, JK, EA), pp. 198–203.
ICPR-2016-SoleymaniGF #learning
Loss factors for learning Boosting ensembles from imbalanced data (RS, EG, GF), pp. 204–209.
ICPR-2016-LoogY #consistency #empirical #learning #nondeterminism
An empirical investigation into the inconsistency of sequential active learning (ML, YY), pp. 210–215.
ICPR-2016-RoyCSC #classification #predict
Meta-regression based pool size prediction scheme for dynamic selection of classifiers (AR, RMOC, RS, GDCC), pp. 216–221.
ICPR-2016-HajduTKH #approach #constraints #execution #probability
Composing ensembles by a stochastic approach under execution time constraint (AH, HT, LK, LH), pp. 222–227.
ICPR-2016-XieL #re-engineering
Flip-avoiding interpolating surface registration for skull reconstruction (SX, WKL), pp. 228–233.
ICPR-2016-SagawaSHOKF #automation #feature model #robust #using
Automatic feature extraction using CNN for robust active one-shot scanning (RS, YS, TH, SO, HK, RF), pp. 234–239.
ICPR-2016-BullingerBWA #bound #generative #re-engineering #using #video
Moving object reconstruction in monocular video data using boundary generation (SB, CB, SW, MA), pp. 240–246.
ICPR-2016-DanelljanMKF #probability #set
Aligning the dissimilar: A probabilistic method for feature-based point set registration (MD, GM, FSK, MF), pp. 247–252.
ICPR-2016-Roman-RangelM
Indexing Mayan hieroglyphs with neural codes (ERR, SMM), pp. 253–258.
ICPR-2016-LiaoQL #image #learning #multi
Semisupervised manifold learning for color transfer between multiview images (DL, YQ, ZNL), pp. 259–264.
ICPR-2016-TangLLHCF #self
Camera self-calibration from tracking of moving persons (ZT, YSL, KHL, JNH, JHC, ZF), pp. 265–270.
ICPR-2016-SorelB #multi #performance
Efficient JPEG decompression by the alternating direction method of multipliers (MS, MB), pp. 271–276.
ICPR-2016-NakamuraOB #detection #process
Detection of groups in crowd considering their activity state (KN, TO, NB), pp. 277–282.
ICPR-2016-WangLHX #clustering #image #multi #representation
Manifold Regularized Multi-view Subspace Clustering for image representation (LW0, DL, TH, ZX), pp. 283–288.
ICPR-2016-Lezoray #image #using
High dynamic range image processing using manifold-based ordering (OL), pp. 289–294.
ICPR-2016-ChenWWGSJ #hybrid #multi #video
Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses (SC, SW, CW, ZG, XS, QJ), pp. 295–300.
ICPR-2016-WuWZGYJ #recognition
Employing subjects' information as privileged information for emotion recognition from EEG signals (SW, SW, YZ, ZG, LY, QJ), pp. 301–306.
ICPR-2016-CirakmanG #online
Online speaker emotion tracking with a dynamic state transition model (OC, BG), pp. 307–312.
ICPR-2016-ChenQYJ #bidirectional #network
Face alignment with Cascaded Bidirectional LSTM Neural Networks (YC, JQ, JY0, ZJ), pp. 313–318.
ICPR-2016-GrimmMBS #classification #using
Sleep position classification from a depth camera using Bed Aligned Maps (TG, MM, AB, RS), pp. 319–324.
ICPR-2016-FengLL #effectiveness #learning #using
Learning effective Gait features using LSTM (YF0, YL, JL), pp. 325–330.
ICPR-2016-KondratevS #automation #constraints #detection #geometry #image #using
Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints (AYK, DVS), pp. 331–336.
ICPR-2016-JafariKNSSWN #image #learning #segmentation #using
Skin lesion segmentation in clinical images using deep learning (MHJ, NK, ENE, SS, SMRS, KRW, KN), pp. 337–342.
ICPR-2016-KrompAWBDBGTAH #framework #image #machine learning
Machine learning framework incorporating expert knowledge in tissue image annotation (FK, IA, TW, DB, HD, MB, TG, STM, PA, AH), pp. 343–348.
ICPR-2016-NgoSMXC #analysis
Quantitative analysis of facial paralysis based on limited-orientation modified circular Gabor filters (THN, MS, NM, WX0, YWC), pp. 349–354.
ICPR-2016-LiaoLL #classification #multi #network #robust #using
Skin disease classification versus skin lesion characterization: Achieving robust diagnosis using multi-label deep neural networks (HL, YL, JL), pp. 355–360.
ICPR-2016-BobbiaBD #segmentation
Remote photoplethysmography based on implicit living skin tissue segmentation (SB, YB, JD), pp. 361–365.
ICPR-2016-WeiLSKM #learning #taxonomy
Joint learning dictionary and discriminative features for high dimensional data (XW, YL, HS, MK, YLM), pp. 366–371.
ICPR-2016-LittwinW #complexity #multi #network
Complexity of multiverse networks and their multilayer generalization (EL, LW), pp. 372–377.
ICPR-2016-MelekhovKR #image #network
Siamese network features for image matching (IM, JK, ER), pp. 378–383.
ICPR-2016-CaoN #fine-grained #learning #process #recognition
Exploring deep learning based solutions in fine grained activity recognition in the wild (SC, RN), pp. 384–389.
ICPR-2016-QuachDLB #modelling #robust
Robust Deep Appearance Models (KGQ, CND, KL, TDB), pp. 390–395.
ICPR-2016-Bai0CH #kernel #transitive
A transitive aligned Weisfeiler-Lehman subtree kernel (LB0, LR0, LC, ERH), pp. 396–401.
ICPR-2016-AwateDK #kernel #robust
Robust kernel principal nested spheres (SPA, MD, NK), pp. 402–407.
ICPR-2016-CavazzaZSM #kernel #recognition
Kernelized covariance for action recognition (JC, AZ, MSB, VM), pp. 408–413.
ICPR-2016-LiTY #fault
Refining pre-image via error compensation for KPCA-based pattern de-noising (JL, QT, ZY), pp. 414–419.
ICPR-2016-FragosoSHT
One-class slab support vector machine (VF, WJS, JPH, MT), pp. 420–425.
ICPR-2016-KouwL #estimation #on the #parametricity
On regularization parameter estimation under covariate shift (WMK, ML), pp. 426–431.
ICPR-2016-CapuaNP #detection #network #social
Unsupervised cyber bullying detection in social networks (MDC, EDN, AP), pp. 432–437.
ICPR-2016-KimuraKSK #classification #multi #performance #random #scalability
Fast random k-labELsets for large-scale multi-label classification (KK, MK, LS, SK), pp. 438–443.
ICPR-2016-HuangWLLBC #automation #clustering #estimation #learning #parametricity
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation (DH, CDW, JHL, YL0, SB, YC), pp. 444–449.
ICPR-2016-BandyopadhyayM #axiom #clustering #incremental #performance
Axioms to characterize efficient incremental clustering (SB, MNM), pp. 450–455.
ICPR-2016-GuanZXCT
WENN for individualized cleaning in imbalanced data (HG, YZ, MX, HDC, XT), pp. 456–461.
ICPR-2016-GuoCL #learning #multi
Multi-label learning with globAl densiTy fusiOn Mapping features (YG, FC, GL0), pp. 462–467.
ICPR-2016-HouP #clustering #kernel
A new density kernel in density peak based clustering (JH, MP), pp. 468–473.
ICPR-2016-KaremF #concept #learning #multi
Multiple Instance Learning with multiple positive and negative target concepts (AK, HF), pp. 474–479.
ICPR-2016-FioriMF #classification #design #multi
An optimal multiclass classifier design (MF, MDM, AF), pp. 480–485.
ICPR-2016-KawanishiDIMF #classification #learning #robust
Misclassification tolerable learning for robust pedestrian orientation classification (YK, DD, II, HM, HF), pp. 486–491.
ICPR-2016-YildizU #classification #incremental #order #using
Incremental construction of rule ensembles using classifiers produced by different class orderings (OTY, AU), pp. 492–497.
ICPR-2016-NguyenNLP #distributed
Distributed data augmented support vector machine on Spark (TDN, VN0, TL, DQP), pp. 498–503.
ICPR-2016-HsuCH #representation #using #verification
Object verification in two views using Sparse representation (SCH, ICC, CLH), pp. 504–509.
ICPR-2016-MygdalisTP #geometry
Exploiting local and global geometric data relationships in Support Vector Data Description (VM, AT, IP), pp. 515–519.
ICPR-2016-SaikiaSSKG #analysis #kernel #learning #multi #using
Multiple kernel learning using data envelopment analysis and feature vector selection and projection (GS, SS, VVS, RDK, PG), pp. 520–524.
ICPR-2016-RedkoB #kernel #learning
Kernel alignment for unsupervised transfer learning (IR, YB), pp. 525–530.
ICPR-2016-VinhEPBLR #modelling #random #robust #using
Training robust models using Random Projection (XVN, SME, SP, JB0, CL, KR), pp. 531–536.
ICPR-2016-Saha0PV #learning #problem #visual notation
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model (BS, SG0, DQP, SV), pp. 537–542.
ICPR-2016-YangSZ #detection #network
A joint facial point detection method of deep convolutional network and shape regression (TY, CS, NZ), pp. 543–548.
ICPR-2016-GarciaHSFTB #segmentation #semantics
Semantic segmentation priors for object discovery (GMG, FH, HS, SF, CT, SB), pp. 549–554.
ICPR-2016-ZhangWY #correlation #image #using
Theoretical criterion for image matching using GPT correlation (SZ, TW, YY), pp. 555–560.
ICPR-2016-TakabeTKSMNY #consistency #detection #using
Moving object detection from a point cloud using photometric and depth consistencies (AT, HT, NK, TS, TM, SN, NY), pp. 561–566.
ICPR-2016-YangLWW #empirical #performance
An Empirical Study of Deformable Part Model with fast feature pyramid (JY, GL, WW, RW), pp. 567–572.
ICPR-2016-LeZZLS #detection #robust
Robust hand detection in Vehicles (THNL, CZ, YZ, KL, MS), pp. 573–578.
ICPR-2016-LiH #approach #detection #image #performance
A fast approach for traffic panel detection from natural scene images (ZML, LLH), pp. 579–584.
ICPR-2016-PangN #3d #detection #multi #network
3D point cloud object detection with multi-view convolutional neural network (GP, UN), pp. 585–590.
ICPR-2016-Yamada #detection #network
Pedestrian detection with a resolution-aware convolutional network (KY), pp. 591–596.
ICPR-2016-LangenkamperN #architecture #classification #detection #learning #online #realtime
COATL - a learning architecture for online real-time detection and classification assistance for environmental data (DL, TWN), pp. 597–602.
ICPR-2016-BulatovS #detection #segmentation
Segmentation methods for detection of stationary vehicles in combined elevation and optical data (DB, HS), pp. 603–608.
ICPR-2016-KimP #approach #detection #network #using
A shape preserving approach for salient object detection using convolutional neural networks (JK, VP), pp. 609–614.
ICPR-2016-ChenWHF #detection #estimation #learning
Deep learning for integrated hand detection and pose estimation (TYC, MYW, YHH, LCF), pp. 615–620.
ICPR-2016-ChoiKPS #detection #multi #network
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks (HC, SK, KP, KS), pp. 621–626.
ICPR-2016-WarisIG #using
Object proposals using CNN-based edge filtering (MAW, AI, MG), pp. 627–632.
ICPR-2016-YangN #detection #multi #network
A multi-scale cascade fully convolutional network face detector (ZY, RN), pp. 633–638.
ICPR-2016-HuangWL #detection
Egocentric hand detection via region growth (SH, WW, KL), pp. 639–644.
ICPR-2016-FengSZ #detection #multi
Scene text detection based on multi-scale SWT and edge filtering (YF, YS, YZ0), pp. 645–650.
ICPR-2016-EggertWZL #detection
Saliency-guided selective magnification for company logo detection (CE, AW, DZ, RL), pp. 651–656.
ICPR-2016-PeiYKY #detection #multi
Multi-orientation scene text detection with multi-information fusion (WYP, CY, LJK, XCY), pp. 657–662.
ICPR-2016-SunSH #automation #image
Automatic building extraction from oblique aerial images (XS, SS, ZH), pp. 663–668.
ICPR-2016-GabrE #detection #runtime
Enhancing the runtime of JUDOCA detector (MG, RE), pp. 669–674.
ICPR-2016-Aldana-IuitMCM #performance
In the Saddle: Chasing fast and repeatable features (JAI, DM, OC, JM), pp. 675–680.
ICPR-2016-KuranukiP #detection
Minimal filtered channel features for pedestrian detection (YK, IP), pp. 681–686.
ICPR-2016-ToyamaMS #clustering #performance #using
Fast template matching using Brick Partitioning and initial threshold (FT, HM, KS), pp. 687–691.
ICPR-2016-LanglardSLCD #multi #recognition
A multiscale method for shape recognition of overlapping elliptical particles (MDL, HAS, FL, SC, JD), pp. 692–697.
ICPR-2016-BlondelPPLL #collaboration #detection
Dynamic collaboration of far-infrared and visible spectrum for human detection (PB, AP, CP, RL, DL), pp. 698–703.
ICPR-2016-ChenYDLZ #recognition
Quaternion-type moments combining both color and depth information for RGB-D object recognition (BC, JY, MD, TL, XZ), pp. 704–708.
ICPR-2016-ZhangZZB #detection #symmetry
Symmetry-based object proposal for text detection (XZ, ZZ, CZ, XB), pp. 709–714.
ICPR-2016-BrownF #detection #smarttech #using
Enhanced face detection using body part detections for wearable cameras (LMB, QF), pp. 715–720.
ICPR-2016-GunjiNTKK #3d #recognition #scalability
3D object recognition from large-scale point clouds with global descriptor and sliding window (NG, HN, KT, TK, TK), pp. 721–726.
ICPR-2016-MohagheghKSSN #estimation #image #using
Single image depth estimation using joint local-global features (HM, NK, SMRS, SS, KN), pp. 727–732.
ICPR-2016-FaulhammerZPV #multi
A multi-modal RGB-D object recognizer (TF, MZ, JP, MV), pp. 733–738.
ICPR-2016-ZhaoMFQH #performance #predict #using
Fast motion deblurring using gyroscopes and strong edge prediction (JZ, JM, BF, SQ, FH), pp. 739–744.
ICPR-2016-LeeS #image #programming #search-based
Learning-based single image dehazing via genetic programming (CL, LS0), pp. 745–750.
ICPR-2016-YangJPL #image #learning #taxonomy
Enhancement of Low Light Level Images with coupled dictionary learning (JY, XJ, CP, CLL), pp. 751–756.
ICPR-2016-ShkvarkoLAG #data fusion #multi
Intelligent neural computing-based way for multi-sensor imaging radar data fusion (YVS, JALR, SRSA, GGT), pp. 757–762.
ICPR-2016-Oskarsson #using
Characterizing the structure tensor using gamma distributions (MO), pp. 763–768.
ICPR-2016-HanSG #analysis #image
A hyperspectral image restoration method based on analysis sparse filter (CH, NS, CG), pp. 769–774.
ICPR-2016-NikonorovPBYYKS #comparative #evaluation #lens
Comparative evaluation of deblurring techniques for Fresnel lens computational imaging (AVN, MVP, SAB, YVY, PYY, NLK, RVS, VF), pp. 775–780.
ICPR-2016-GhoraiMC #image #kernel #statistics #using
Patch sparsity based image inpainting using local patch statistics and steering kernel descriptor (MG, SM, BC), pp. 781–786.
ICPR-2016-Ponce-Hinestroza #adaptation #using
Using a MRF-BP model with color adaptive training for underwater color restoration (ANPH, LATM, PDJ), pp. 787–792.
ICPR-2016-MollerNN16a #clustering #detection #image #using
Change detection in marine observatory image streams using Bi-Domain Feature Clustering (TM, IN, TWN), pp. 793–798.
ICPR-2016-ZhangW
An MCMC-based prior sub-hypergraph matching in presence of outliers (RZ, WW), pp. 799–804.
ICPR-2016-AbdulmunemLS #3d #recognition
3D GLOH features for human action recognition (AA, YKL, XS), pp. 805–810.
ICPR-2016-HuLL #learning #named #representation #semantics #video
Video2vec: Learning semantic spatio-temporal embeddings for video representation (ShH, YL, BL), pp. 811–816.
ICPR-2016-NGuyenNC #effectiveness #image #recognition
Effective surface normals based action recognition in depth images (XSN, TPN, FC), pp. 817–822.
ICPR-2016-QianCS #recognition
Mutually incoherent pose bases for Action recognition (YQ, WC, IFS), pp. 823–828.
ICPR-2016-Troya-GalvisGB #analysis #classification #collaboration #image #segmentation
Collaborative segmentation and classification for remote sensing image analysis (ATG, PG, LBÉ), pp. 829–834.
ICPR-2016-KulhareSPP #process #recognition
Key frame extraction for salient activity recognition (SK, SS, SP, RWP), pp. 835–840.
ICPR-2016-SukhwaniJ
Frame level annotations for tennis videos (MS, CVJ), pp. 841–846.
ICPR-2016-YaoXG #image #multi #rank
A rank minimization-based late fusion method for multi-label image annotation (YY0, XX0, PG0), pp. 847–852.
ICPR-2016-Nakazawa #image #random #using
Noise stable image registration using RANdom RESAmple Consensus (AN), pp. 853–858.
ICPR-2016-ZhangXLPQ #detection #image #robust
Robust road detection from a single image (JZ, SYX, KL, HP, AKQ), pp. 859–864.
ICPR-2016-SinghTSV #detection
Detection of glare in night photography (MS, RKT, KS, AV), pp. 865–870.
ICPR-2016-KBS #video
Vector R-ordering based selection of segments for video skimming (VVK, RB, DS), pp. 871–876.
ICPR-2016-KaurKS #predict #video
Prediction based seam carving for video retargeting (HK, SK, DS), pp. 877–882.
ICPR-2016-ZhengLZW #image #multi #using
Multi-focus image fusion using quaternion wavelet transform (XNZ, XL, ZZ, XJW), pp. 883–888.
ICPR-2016-YuWSH #invariant #recognition #using
View invariant gait recognition using only one uniform model (SY, QW, LS, YH), pp. 889–894.
ICPR-2016-DevanneWDBBP #analysis #learning
Learning shape variations of motion trajectories for gait analysis (MD, HW, MD, SB, ADB, PP), pp. 895–900.
ICPR-2016-BalaziaS16a #learning #recognition #robust
Learning robust features for gait recognition by Maximum Margin Criterion (MB, PS), pp. 901–906.
ICPR-2016-ConlyDA #gesture #recognition #scalability
Leveraging intra-class variations to improve large vocabulary gesture recognition (CC, AD, VA), pp. 907–912.
ICPR-2016-LiangLWZ #estimation
Human pose estimation based on human limbs (GL, XL, JW0, NZ), pp. 913–918.
ICPR-2016-GhorbelBBSL #performance #recognition
A fast and accurate motion descriptor for human action recognition applications (EG, RB, JB, XS, SL), pp. 919–924.
ICPR-2016-KatsageorgiouZH #analysis #behaviour #data-driven #interactive
Unsupervised mouse behavior analysis: A data-driven study of mice interactions (VMK, MZ, HH, VF0, FP, DS, VM), pp. 925–930.
ICPR-2016-WangHG #classification #learning #novel
A novel fingerprint classification method based on deep learning (RW, CH, TG), pp. 931–936.
ICPR-2016-ZhangZJYT
Define a fingerprint Orientation Field pattern (NZ0, YZ, XJ, XY0, JT0), pp. 937–942.
ICPR-2016-LinK #identification
Improving cross sensor interoperability for fingerprint identification (CL, AK0), pp. 943–948.
ICPR-2016-KostadinovVDFH #linear
Local Active Content Fingerprint: Solutions for general linear feature maps (DK, SV, MD, SF, TH), pp. 949–954.
ICPR-2016-PhamTM #framework #pattern matching #pattern recognition #recognition
A proposed pattern recognition framework for EEG-based smart blind watermarking system (TDP, DT, WM), pp. 955–960.
ICPR-2016-DesrosiersDD #analysis #generative #novel #statistics
Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories (PAD, MD, MD), pp. 961–966.
ICPR-2016-TianAC #adaptation #recognition
Shannon information based adaptive sampling for action recognition (QT, TA, JJC), pp. 967–972.
ICPR-2016-AiMHLL #gesture #precise
High precision gesture sensing via quantitative characterization of the Doppler effect (HA, YM, LH, ZL, ML), pp. 973–978.
ICPR-2016-PeiM #3d #estimation #interactive #mobile #performance
Fast 3D hand estimation for mobile interactions (YP, GM), pp. 979–984.
ICPR-2016-BoulahiaAKM #3d #named #recognition
HIF3D: Handwriting-Inspired Features for 3D skeleton-based action recognition (SYB, ÉA, RK, FM), pp. 985–990.
ICPR-2016-GemerenPV #interactive
Locating human interactions with discriminatively trained deformable pose+motion parts (CVG, RP, RCV), pp. 991–996.
ICPR-2016-BorghiVC #3d #gesture #multi #performance #recognition
Fast gesture recognition with Multiple Stream Discrete HMMs on 3D skeletons (GB, RV, RC), pp. 997–1002.
ICPR-2016-StearnsOCFRCF #image #locality
Localization of skin features on the hand and wrist from small image patches (LS, UO, BJC, LF, DR, RC, JEF), pp. 1003–1010.
ICPR-2016-GoswamiRSV #classification #normalisation
Improving classifier fusion via Pool Adjacent Violators normalization (GG, NKR, RS0, MV), pp. 1011–1016.
ICPR-2016-TianMO #detection #embedded #low cost #recognition #using
Spoofing detection for embedded face recognition system using a low cost stereo camera (GT, TM, YO), pp. 1017–1022.
ICPR-2016-OlivaresVG #automation
Automatic leaf shape category discovery (LO, JV, FG), pp. 1023–1028.
ICPR-2016-LiWS #performance #towards
Towards protecting biometric templates without sacrificing performance (JL0, YW, TS), pp. 1029–1034.
ICPR-2016-SiddiquiBDAVSR #anti #multi
Face anti-spoofing with multifeature videolet aggregation (TAS, SB, TID, AA0, MV, RS0, NKR), pp. 1035–1040.
ICPR-2016-Liu #hybrid #mining #scalability
Exposing seam carving forgery under recompression attacks by hybrid large feature mining (QL), pp. 1041–1046.
ICPR-2016-FerrariLBB #3d #effectiveness #recognition
Effective 3D based frontalization for unconstrained face recognition (CF, GL, SB, ADB), pp. 1047–1052.
ICPR-2016-KhorsandiKSHSWN #gesture #recognition
Radon transform inspired method for hand gesture recognition (MAK, NK, SMRS, MH, SS, KW, KN), pp. 1053–1058.
ICPR-2016-NguyenY #approach #artificial reality #named #novel
StereoTag: A novel stereogram-marker-based approach for Augmented Reality (MN, AY), pp. 1059–1064.
ICPR-2016-OgawaMYA #sketching
Sketch simplification by classifying strokes (TO, YM, TY, KA), pp. 1065–1070.
ICPR-2016-HsiaoC #algorithm #identification #orthogonal #re-engineering #recognition
Over-atoms accumulation orthogonal matching pursuit reconstruction algorithm for fish recognition and identification (YHH, CCC), pp. 1071–1076.
ICPR-2016-LiuZH #authentication #effectiveness #smarttech
An effective voiceprint based identity authentication system for Mandarin smartphone users (JHL, YXZ, YCH), pp. 1077–1082.
ICPR-2016-Lamar-LeonBGG #persistent #recognition #robust
Persistent homology-based gait recognition robust to upper body variations (JLL, RAB, EBGR, RGD), pp. 1083–1088.
ICPR-2016-CarvajalWSL #automation #contest #predict #towards
Towards Miss Universe automatic prediction: The evening gown competition (JC, AW, CS, BCL), pp. 1089–1094.
ICPR-2016-ZhaoYWL #approach #recognition
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition (KZ, SY, AW, BCL), pp. 1095–1100.
ICPR-2016-AlvenKLLU #multi #segmentation
Shape-aware multi-atlas segmentation (JA, FK, ML, VL, JU), pp. 1101–1106.
ICPR-2016-FariaCLI #dependence #recognition #using
Information fusion for cocaine dependence recognition using fMRI (FAF, FAMC, CsRL, JSI), pp. 1107–1112.
ICPR-2016-DaiMZ #evolution #image #performance #segmentation #set
A Bregman divergence based Level Set Evolution for efficient medical image segmentation (SD, HM, SZ), pp. 1113–1118.
ICPR-2016-WuZLMS #graph #named #novel
EvaToon: A novel graph matching system for evaluating cartoon drawings (YW, XZ, TL, GM, LS), pp. 1119–1124.
ICPR-2016-QuLFT #effectiveness #learning #retrieval
Improving PGF retrieval effectiveness with active learning (JQ, XL, SF, ZT), pp. 1125–1130.
ICPR-2016-MaLW #database #online #recognition #word
A new database for online handwritten Mongolian word recognition (LLM, JL, JW0), pp. 1131–1136.
ICPR-2016-QuWL #recognition #representation #using
In-air handwritten Chinese character recognition using discriminative projection based on locality-sensitive sparse representation (XQ, WW, KL), pp. 1137–1140.
ICPR-2016-SuJWSW #network #novel #recognition #segmentation
Novel character segmentation method for overlapped Chinese handwriting recognition based on LSTM neural networks (TS, SJ, QW, LS, RW), pp. 1141–1146.
ICPR-2016-CabreraFS #evaluation #multi #variability
Approaching the intra-class variability in multi-script static signature evaluation (MDC, MAF, RS), pp. 1147–1152.
ICPR-2016-AdakCB #identification #testing
Writer identification by training on one script but testing on another (CA, BBC, MB), pp. 1153–1158.
ICPR-2016-MontenegroA #artificial reality #estimation #human-computer #using
Gaze estimation using EEG signals for HCI in augmented and virtual reality headsets (JMFM, VA), pp. 1159–1164.
ICPR-2016-RapczynskiWA #estimation #latency #realtime
Continuous low latency heart rate estimation from painful faces in real time (MR, PW, AAH), pp. 1165–1170.
ICPR-2016-TamboB #behaviour #predict
Temporal dynamics of tip fluorescence predict cell growth behavior in pollen tubes (ALT, BB), pp. 1171–1176.
ICPR-2016-RaySC #image #locality #recognition
Recognition based text localization from natural scene images (AR, AS, SC), pp. 1177–1182.
ICPR-2016-SukS #analysis #detection #retrieval
Solar flare retrieval, detection and analysis (TS, SS), pp. 1183–1188.
ICPR-2016-MorariuTPDT #optimisation
Sequential vs. batch machine-learning with evolutionary hyperparameter optimization for segmenting aortic dissection thrombus (CAM, MT, JP, DSD, KT), pp. 1189–1194.
ICPR-2016-AntonyMOM #network #using
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks (JA, KM, NEO, KM), pp. 1195–1200.
ICPR-2016-DasguptaYO #learning #sequence
Regularized dynamic Boltzmann machine with Delay Pruning for unsupervised learning of temporal sequences (SD, TY, TO), pp. 1201–1206.
ICPR-2016-0003CNBH #dependence
Measuring dependency via intrinsic dimensionality (SR0, OC, VN, JB0, MEH), pp. 1207–1212.
ICPR-2016-KalraSRT #learning #network #using
Learning opposites using neural networks (SK, AS, SR, HRT), pp. 1213–1218.
ICPR-2016-ZhongGS #classification
A DBN-crf for spectral-spatial classification of hyperspectral data (PZ0, ZG, CBS), pp. 1219–1224.
ICPR-2016-MartinelFM #distributed #identification
Distributed and Unsupervised Cost-Driven Person Re-Identification (NM, GLF, CM), pp. 1225–1230.
ICPR-2016-AnZH #detection #online
Online RGB-D tracking via detection-learning-segmentation (NA, XZ, ZGH), pp. 1231–1236.
ICPR-2016-BarathH #energy
Energy-based topological outlier filtering (DB, LH), pp. 1237–1242.
ICPR-2016-GladhDKF #visual notation
Deep motion features for visual tracking (SG, MD, FSK, MF), pp. 1243–1248.
ICPR-2016-YangSGLL
Facial depth map enhancement via neighbor embedding (SY0, SS, QG, XL, JL0), pp. 1249–1254.
ICPR-2016-YouXLZCTZ #image #matrix #rank
Single image super-resolution with non-local balanced low-rank matrix restoration (XY, WX, JL, PZ0, YmC, YT, NZ), pp. 1255–1260.
ICPR-2016-YB #3d #optimisation #using #video
Rate distortion optimization using SSIM for 3D video coding (HY, PKB), pp. 1261–1266.
ICPR-2016-0005LH #optimisation
Accelerated sparse optimization for missing data completion (ZX0, YL, JH), pp. 1267–1272.
ICPR-2016-RoyDB #classification #documentation #image #network
Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification (SR, AD, UB), pp. 1273–1278.
ICPR-2016-LiPS #image #streaming #summary
Streaming news image summarization (HL0, SP, HS), pp. 1279–1284.
ICPR-2016-AugereauFK #analysis #automation #estimation #towards
Towards an automated estimation of English skill via TOEIC score based on reading analysis (OA, HF, KK), pp. 1285–1290.
ICPR-2016-NairKNG #documentation #network #segmentation #using
Segmentation of highly unstructured handwritten documents using a neural network technique (RRN, BUK, IN, VG), pp. 1291–1296.
ICPR-2016-MassichRLCWSM #overview #perspective
Classifying DME vs normal SD-OCT volumes: A review (JM, MR, GL, CYlC, TYW, DS, FM), pp. 1297–1302.
ICPR-2016-ChenZW #approach #learning #network #summary #video
Wireless capsule endoscopy video summarization: A learning approach based on Siamese neural network and support vector machine (JC, YZ, YW0), pp. 1303–1308.
ICPR-2016-NouredaneshTBT #image #retrieval
Radon-Gabor barcodes for medical image retrieval (MN, HRT, EB, JT), pp. 1309–1314.
ICPR-2016-HoSSEA #approach #estimation #learning #parametricity
A temporal deep learning approach for MR perfusion parameter estimation in stroke (KCH, FS, KVS, SES, CWA), pp. 1315–1320.
ICPR-2016-WangWH #analysis #network #using
Network entropy analysis using the Maxwell-Boltzmann partition function (JW, RCW0, ERH), pp. 1321–1326.
ICPR-2016-GligorijevicPZ #community #detection #graph #multi
Fusion and community detection in multi-layer graphs (VG, YP, SZ), pp. 1327–1332.
ICPR-2016-TianC #estimation
Cross-heterogeneous-database age estimation with co-representation among them (QT, SC), pp. 1333–1338.
ICPR-2016-Bai0CH16a #graph #matrix #novel
A novel entropy-based graph signature from the average mixing matrix (LB0, LR0, LC, ERH), pp. 1339–1344.
ICPR-2016-HaralickDSK #clustering #linear
Inexact MDL for linear manifold clusters (RMH, AD, XS, NYK), pp. 1345–1351.
ICPR-2016-YorukOA #estimation #multi #performance #recognition
An efficient Hough transform for multi-instance object recognition and pose estimation (EY, KTO, CBA), pp. 1352–1357.
ICPR-2016-Maldonado-Ramirez #recognition #visual notation
A bag of relevant regions for visual place recognition in challenging environments (AMR, LATM, MC), pp. 1358–1363.
ICPR-2016-LuYLLZ #detection
Edge chain detection by applying Helmholtz principle on gradient magnitude map (XL, JY, LL0, YL, WZ), pp. 1364–1369.
ICPR-2016-WangZJ #recognition #taxonomy
Taxonomy augmented object recognition (XW0, YZ, QJ), pp. 1370–1375.
ICPR-2016-KerautretKDL16a #detection
Centerline detection on partial mesh scans by confidence vote in accumulation map (BK, AK, IDR, JOL), pp. 1376–1381.
ICPR-2016-Ohn-BarT #detection #locality #modelling #multi
Detection and localization with multi-scale models (EOB, MMT), pp. 1382–1387.
ICPR-2016-ZelenkaK #image
Restoration of images with wavefront aberrations (CZ, RK), pp. 1388–1393.
ICPR-2016-Konno0OYKK #self
Depth map upsampling by self-guided residual interpolation (YK, MT0, MO, YY, KK, MK), pp. 1394–1399.
ICPR-2016-WangLX #adaptation #image #rank #representation
Adaptive boosting for image denoising: Beyond low-rank representation and sparse coding (BW, TL0, ZX), pp. 1400–1405.
ICPR-2016-SantraC #image
Day/night unconstrained image dehazing (SS, BC), pp. 1406–1411.
ICPR-2016-Timofte #image
Anchored fusion for image restoration (RT), pp. 1412–1417.
ICPR-2016-FoareLT16a #calculus #functional #image #segmentation #using
Image restoration and segmentation using the Ambrosio-Tortorelli functional and Discrete Calculus (MF, JOL, HT), pp. 1418–1423.
ICPR-2016-WuARN #performance #recognition
Computationally efficient template-based face recognition (YW0, WAA, SR, PN), pp. 1424–1429.
ICPR-2016-JhuangLT #3d #network #using #verification
Face verification with three-dimensional point cloud by using deep belief networks (DHJ, DTL, CHT), pp. 1430–1435.
ICPR-2016-Martinez-DiazCH #encoding #performance #recognition #using #video
Efficient video face recognition by using Fisher Vector encoding of binary features (YMD, LC, NH, HMV, LES), pp. 1436–1441.
ICPR-2016-PengRP #learning #network #recognition #using
Learning face recognition from limited training data using deep neural networks (XP, NKR, SP), pp. 1442–1447.
ICPR-2016-XuZAC #verification
Template regularized sparse coding for face verification (HX, JZ, AA, RC), pp. 1448–1454.
ICPR-2016-Alonso-Fernandez #multi #recognition #using
Compact multi-scale periocular recognition using SAFE features (FAF, AM, JB), pp. 1455–1460.
ICPR-2016-BillingsAB #analysis #detection #image
Ultrasound image analysis for myopathy detection (SB, JA, PB), pp. 1461–1465.
ICPR-2016-KaurDCM #hybrid #image #learning
Hybrid deep learning for Reflectance Confocal Microscopy skin images (PK, KJD, GOC, MCM), pp. 1466–1471.
ICPR-2016-MarronePFPSS #fuzzy #segmentation #using
Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI (SM0, GP, RF, AP, MS, CS), pp. 1472–1477.
ICPR-2016-PalCGCC #learning #multi #using
Severity grading of psoriatic plaques using deep CNN based multi-task learning (AP, AC, UG, AC, RC), pp. 1478–1483.
ICPR-2016-JermanPLSC #analysis #automation #identification
Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms (TJ, FP, BL, ZS, AC), pp. 1484–1489.
ICPR-2016-StanitsasCLTMP #evaluation #recognition
Evaluation of feature descriptors for cancerous tissue recognition (PS, AC, XL, AT, VM, NP), pp. 1490–1495.
ICPR-2016-KalantidisFKBS #congruence #image #visual notation
Visual congruent ads for image search (YK, AF, LK, RBY, DAS), pp. 1496–1505.
ICPR-2016-Iwata #distance #set
Reducing the computational cost of shape matching with the distance set (KI0), pp. 1506–1511.
ICPR-2016-LimK #approach #feature model #multi #optimisation
Convex optimization approach for multi-label feature selection based on mutual information (HL, DWK), pp. 1512–1517.
ICPR-2016-Robles-KellyW #graph #image #using
Semi-supervised image labelling using barycentric graph embeddings (ARK, RW), pp. 1518–1523.
ICPR-2016-HajduHBLEHT #algorithm #approximate #grid #network #using
Measuring regularity of network patterns by grid approximations using the LLL algorithm (AH, BH, RB, IL, GE, LH, RT), pp. 1524–1529.
ICPR-2016-NienkotterJ #problem #string
Distance-preserving vector space embedding for the closest string problem (AN, XJ0), pp. 1530–1535.
ICPR-2016-MinelloTH #evolution #network #quantum
Quantum thermodynamics of time evolving networks (GM, AT, ERH), pp. 1536–1541.
ICPR-2016-GrenierBV #predict
Taking into account stereoisomerism in the prediction of molecular properties (PAG, LB, DV), pp. 1542–1547.
ICPR-2016-GaliMF #metric #similarity
Similarity measures for title matching (NG, RMI, PF), pp. 1548–1553.
ICPR-2016-MaoFWH #identification #kernel #performance
Fast kernel SVM training via support vector identification (XM, ZF, OW, WH), pp. 1554–1559.
ICPR-2016-KhanH #adaptation #learning #polynomial #using
Adapting instance weights for unsupervised domain adaptation using quadratic mutual information and subspace learning (MNAK, DRH), pp. 1560–1565.
ICPR-2016-GuoCY #adaptation #approach
A simple approach for unsupervised domain adaptation (XG0, WC, JY), pp. 1566–1570.
ICPR-2016-XueB #learning #multi
Multi-task learning for one-class SVM with additional new features (YX, PB), pp. 1571–1576.
ICPR-2016-OliveauS #classification #image #semantics
Semantic-free attributes for image classification (QO, HS), pp. 1577–1582.
ICPR-2016-YeLYZ #clustering #kernel #multi
Co-regularized kernel k-means for multi-view clustering (YY, XL, JY, EZ), pp. 1583–1588.
ICPR-2016-KimP16a #network #using
Discovering characteristic landmarks on ancient coins using convolutional networks (JK, VP), pp. 1595–1600.
ICPR-2016-HasegawaH #classification #image #named #network #using
PLSNet: A simple network using Partial Least Squares regression for image classification (RH, KH), pp. 1601–1606.
ICPR-2016-YiHLCC #adaptation #rank #re-engineering #representation #taxonomy
Simultaneous Dual-Views Reconstruction with Adaptive Dictionary and Low-Rank Representation (SY, ZH, YL, YMC, WC), pp. 1607–1611.
ICPR-2016-SunKK #classification #multi
Multi-label classification with meta-label-specific features (LS, MK, KK), pp. 1612–1617.
ICPR-2016-RaymondI #identification
Bus trajectory identification by map-matching (RR, TI), pp. 1618–1623.
ICPR-2016-MaoZCLHY #2d
Two-dimensional PCA hashing and its extension (MM, ZZ, ZC, HL, XH, RY), pp. 1624–1629.
ICPR-2016-MoazzenT #approximate #clustering #dataset
Sampling based approximate spectral clustering ensemble for partitioning datasets (YM, KT), pp. 1630–1635.
ICPR-2016-KimKAK #markov #modelling #process #recognition
Integrating hidden Markov models based on Mixture-of-Templates and k-NN2 ensemble for activity recognition (YJK, YK, JA, DK0), pp. 1636–1641.
ICPR-2016-BicegoL #nearest neighbour #revisited
Weighted K-Nearest Neighbor revisited (MB, ML), pp. 1642–1647.
ICPR-2016-ValevYK #approach #geometry #pattern matching #pattern recognition #problem #recognition
A new geometrical approach for solving the supervised pattern recognition problem (VV, NY, AK), pp. 1648–1652.
ICPR-2016-GaoJ #hybrid #markov
Hybrid Markov Blanket discovery (TG, QJ), pp. 1653–1658.
ICPR-2016-GuoDFS #detection #robust #using
A robust UAV landing site detection system using mid-level discriminative patches (XG, SD, CF, SS), pp. 1659–1664.
ICPR-2016-FanWH #adaptation #learning #multi
Multi-stage multi-task feature learning via adaptive threshold (YF, YW, TZH), pp. 1666–1671.
ICPR-2016-OhY #algorithm #graph #learning
Enhancing label inference algorithms considering vertex importance in graph-based semi-supervised learning (BO, JY), pp. 1671–1676.
ICPR-2016-KrijtheL16a #classification
Optimistic semi-supervised least squares classification (JHK, ML), pp. 1677–1682.
ICPR-2016-MezumanW #bound #finite
A tight convex upper bound on the likelihood of a finite mixture (EM, YW), pp. 1683–1688.
ICPR-2016-SousaB #consistency #learning
Constrained Local and Global Consistency for semi-supervised learning (CARdS, GEAPAB), pp. 1689–1694.
ICPR-2016-BogunR
Object-aware tracking (IB, ER), pp. 1695–1700.
ICPR-2016-BougleuxGB #distance #edit distance #graph #polynomial
Graph edit distance as a quadratic program (SB, BG, LB), pp. 1701–1706.
ICPR-2016-MiyazakiO #graph #recognition
Graph model boosting for structural data recognition (TM, SO), pp. 1707–1712.
ICPR-2016-LiuNZWL #automation #clustering #multi
Unsupervised automatic attribute discovery method via multi-graph clustering (LL, FN, TZ, AW, BCL), pp. 1713–1718.
ICPR-2016-TripodiVP #clustering #matrix
Context aware nonnegative matrix factorization clustering (RT, SV, MP), pp. 1719–1724.
ICPR-2016-ChenCDHLSFB0 #3d
Finding rigid sub-structure patterns from 3D point-sets (ZC, DC, HD, ZH, ZL, NS, AJF, RB, JX0), pp. 1725–1730.
ICPR-2016-DongH
Sequential factorization for nonrigid structure from motion via LBFGS (QD, HH), pp. 1731–1736.
ICPR-2016-NieS #novel
A novel photometric stereo method with nonisotropic point light sources (YN, ZS), pp. 1737–1742.
ICPR-2016-KawasakiHF #grid
Registration and entire shape acquisition for grid based active one-shot scanning techniques (HK, TH, RF), pp. 1743–1749.
ICPR-2016-SalemKPHB #3d #estimation #image
Three dimensional pose estimation of mouse from monocular images in compact systems (GS, JK, TP, MHH, XPBA), pp. 1750–1755.
ICPR-2016-AbuzainaNC #3d #estimation
3D motion estimation by evidence gathering (AA, MSN, JNC), pp. 1756–1761.
ICPR-2016-BrauJ #3d #approach #estimation
A Bayesian part-based approach to 3D human pose and camera estimation (EB, HJ0), pp. 1762–1767.
ICPR-2016-FukanoMISSI #energy #higher-order #image #re-engineering
Room reconstruction from a single spherical image by higher-order energy minimization (KF, YM, SI, ESS, AS, HI0), pp. 1768–1773.
ICPR-2016-WuLZN #modelling #re-engineering #using
Model-based face reconstruction using SIFT flow registration and spherical harmonics (FW, SL, TZ, KNN), pp. 1774–1779.
ICPR-2016-MuthuswamyR #detection
Salient object detection in tracking shots (KM, DR), pp. 1780–1785.
ICPR-2016-NaimMSLKG #constraints
Aligning movies with scripts by exploiting temporal ordering constraints (IN, AAM0, YCS, JL, HAK, DG), pp. 1786–1791.
ICPR-2016-LeHWO #detection #performance
Temporally subsampled detection for accurate and efficient face tracking and diarization (NL, AH, DW0, JMO), pp. 1792–1797.
ICPR-2016-DelforouziTSG #image
Unknown object tracking in 360-degree camera images (AD, SAHT, KS, MG), pp. 1798–1803.
ICPR-2016-PuZZ #multi #network
Structure and appearance preserving network flow for multi-object tracking (SP, HZ, KZ), pp. 1804–1808.
ICPR-2016-TakadaHJ #using
Human tracking in crowded scenes using target information at previous frames (HT, KH, PJ), pp. 1809–1814.
ICPR-2016-0003BP #3d #detection #symmetry
Detection and characterization of Intrinsic symmetry of 3D shapes (AM0, SMB, FP), pp. 1815–1820.
ICPR-2016-ChenGLZY #detection
Appearance changes detection during tracking (WC, XG0, XL, EZ, JY), pp. 1821–1826.
ICPR-2016-FeiginRA #framework #image #statistics
Statistical consensus matching framework for image registration (MF, BJR, BWA), pp. 1827–1832.
ICPR-2016-NahaW #comprehension
Beyond verbs: Understanding actions in videos with text (SN, YW0), pp. 1833–1838.
ICPR-2016-BartoliLSB #estimation #profiling #using
User interest profiling using tracking-free coarse gaze estimation (FB, GL, LS, ADB), pp. 1839–1844.
ICPR-2016-LeiT #modelling #using
Modeling human-skeleton motion patterns using conditional deep Boltzmann machine (PL, ST), pp. 1845–1850.
ICPR-2016-PhamPCC #3d #realtime #robust
Robust real-time performance-driven 3D face tracking (HXP, VP, JC, TJC), pp. 1851–1856.
ICPR-2016-KilicarslanZR #detection
Pedestrain detection from motion (MK, JYZ, KR), pp. 1857–1863.
ICPR-2016-Ben-ArtziHWP #geometry #similarity
Epipolar geometry based on line similarity (GBA, TH, MW, SP), pp. 1864–1869.
ICPR-2016-KilicarslanZ #using #video
Bridge motion to collision alarming using driving video (MK, JYZ), pp. 1870–1875.
ICPR-2016-SidibeRM #detection #multi #on the #using
On spatio-temporal saliency detection in videos using multilinear PCA (DS, MR, FM), pp. 1876–1880.
ICPR-2016-WangZQL #detection #framework
RGB-D saliency detection under Bayesian framework (STW, ZZ, HBQ, BL), pp. 1881–1886.
ICPR-2016-ZhouLL #estimation
Depth estimation with cascade occlusion culling filter for light-field cameras (WZ, AL, LL), pp. 1887–1892.
ICPR-2016-FerreiraG #3d #lens #performance
Accurate and fast micro lenses depth maps from a 3D point cloud in light field cameras (RF, NG), pp. 1893–1898.
ICPR-2016-QianCKNM #learning
Deep structured-output regression learning for computational color constancy (YQ, KC0, JKK, JN, JM), pp. 1899–1904.
ICPR-2016-DahlanH
Absorptive scattering model for rough laminar surfaces (HAD, ERH), pp. 1905–1910.
ICPR-2016-HilsenbeckMKHA #independence #recognition
Hierarchical Hough forests for view-independent action recognition (BH, DM, HK, WH0, MA), pp. 1911–1916.
ICPR-2016-Osuna-CoutinoMA #image #recognition
Dominant plane recognition in interior scenes from a single image (JAdJOC, JMC, MOAE, WWMC), pp. 1923–1928.
ICPR-2016-LiuHWLL #image #performance #retrieval #segmentation #using
Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree (YL0, LH0, SW, XL, BL), pp. 1929–1934.
ICPR-2016-ShimodaY #segmentation
Weakly-supervised segmentation by combining CNN feature maps and object saliency maps (WS, KY), pp. 1935–1940.
ICPR-2016-Matsakis
Affine properties of the relative position PHI-descriptor (PM), pp. 1941–1946.
ICPR-2016-CaetanoSS #matrix #novel
Optical Flow Co-occurrence Matrices: A novel spatiotemporal feature descriptor (CC, JAdS, WRS), pp. 1947–1952.
ICPR-2016-TairaTO #learning #robust #synthesis
Robust feature matching by learning descriptor covariance with viewpoint synthesis (HT, AT, MO), pp. 1953–1958.
ICPR-2016-DaiDCLY #multi #rank #representation #segmentation #using
Object segmentation using low-rank representation with multiple block-diagonal priors (LD, JD, JC, JL0, JY0), pp. 1959–1964.
ICPR-2016-HuangWLL #named
USEQ: Ultra-fast superpixel extraction via quantization (CRH, WAW, SYL, YYL), pp. 1965–1970.
ICPR-2016-MoriKAS #robust
Robust region extraction of moving objects in dynamic background (SM, YK, TA, TS), pp. 1971–1976.
ICPR-2016-LiaoWL #order
Feature descriptor based on local intensity order relations of pixel group (WHL, CCW, MCL), pp. 1977–1981.
ICPR-2016-XianXCZD #effectiveness #interactive #named #segmentation
EISeg: Effective interactive segmentation (MX, FX, HDC, YZ, JD), pp. 1982–1987.
ICPR-2016-ChatouxLF #case study #comparative
Comparative study of descriptors with dense key points (HC, FL, CFM), pp. 1988–1993.
ICPR-2016-ClementKW
Bags of spatial relations and shapes features for structural object description (MC, CK, LW), pp. 1994–1999.
ICPR-2016-SalaunMM16a #detection #multi #robust
Multiscale line segment detector for robust and accurate SfM (YS, RM, PM), pp. 2000–2005.
ICPR-2016-NguyenVPG #classification
An integrated descriptor for texture classification (VLN, NSV, HHP, PHG), pp. 2006–2011.
ICPR-2016-GonzalezVT #classification #invariant #learning
Learning rotation invariant convolutional filters for texture classification (DM, MV, DT), pp. 2012–2017.
ICPR-2016-Brandtberg #analysis #classification #fourier #fuzzy #multi #order #rank #using
Virtual hexagonal and multi-scale operator for fuzzy rank order texture classification using one-dimensional generalised Fourier analysis (TB), pp. 2018–2024.
ICPR-2016-HaindlH #3d
Three-dimensional Gaussian mixture texture model (MH, VH), pp. 2025–2030.
ICPR-2016-GaoCZFZ #image #segmentation #using
Texture image segmentation using fused features and active contour (MG, HC, SZ, BF0, LZ), pp. 2036–2041.
ICPR-2016-OnZEB #multi #pattern matching #pattern recognition #recognition #using
Spatio-temporal pattern recognition of dendritic spines and protein dynamics using live multichannel fluorescence microscopy (VO, AZ, IE, BB), pp. 2042–2047.
ICPR-2016-WangZWGSH #identification #learning #metric #similarity
Contextual Similarity Regularized Metric Learning for person re-identification (JW0, JZ, ZW, CG, NS, RH0), pp. 2048–2053.
ICPR-2016-EnPNHJ #documentation #image #locality
Pattern localization in historical document images via template matching (SE, CP, SN, LH, FJ), pp. 2054–2059.
ICPR-2016-LeeL #predict #process
Human activity prediction based on Sub-volume Relationship Descriptor (DGL, SWL), pp. 2060–2065.
ICPR-2016-MaioranoP #detection
Granular trajectory based anomaly detection for surveillance (FM, AP), pp. 2066–2072.
ICPR-2016-OnishiN #interactive #people #twitter
Mutual interaction model between the number of people in real space and the number of tweets in virtual space (MO, SN), pp. 2073–2078.
ICPR-2016-SuzuuchiK #analysis #behaviour #multi
Location-associated indoor behavior analysis of multiple persons (SS, MK), pp. 2079–2084.
ICPR-2016-NishiyamaNYYIS #identification #physics #using
Person re-identification using co-occurrence attributes of physical and adhered human characteristics (MN, SN, TY, HY, YI, KS), pp. 2085–2090.
ICPR-2016-PratesS #identification #kernel
Kernel Hierarchical PCA for person re-identification (RFdCP, WRS), pp. 2091–2096.
ICPR-2016-SouzaSC #comprehension #learning #semantics
Building semantic understanding beyond deep learning from sound and vision (FDMdS, SS, GCC), pp. 2097–2102.
ICPR-2016-BaiCEH #kernel
An edge-based matching kernel on commute-time spanning trees (LB0, LC, FE, ERH), pp. 2103–2108.
ICPR-2016-CoteDA
Look who is not talking: Assessing engagement levels in panel conversations (MC, AD, ABA), pp. 2109–2114.
ICPR-2016-StephensB #modelling #process #recognition
Human group activity recognition based on modelling moving regions interdependencies (KS, AGB), pp. 2115–2120.
ICPR-2016-YousefiKDCR #3d #experience #gesture #interactive #mobile
3D gesture-based interaction for immersive experience in mobile VR (SY, MK, YD, JC, NR), pp. 2121–2126.
ICPR-2016-FilipovychDRB #image #multi #recognition #sequence
Pollen recognition in optical microscopy by matching multifocal image sequences (RF, AD, ER, MB), pp. 2127–2132.
ICPR-2016-ShigetaMKSTMI #segmentation #using
A bone marrow cavity segmentation method using wavelet-based texture feature (HS, TM, JK, SS, HT, HM, MI), pp. 2133–2138.
ICPR-2016-AmeurVC #classification #recognition
Sub-classification strategies for tree species recognition (RBA, LV, DC), pp. 2139–2144.
ICPR-2016-LiHZXZ #classification
HEp-2 specimen classification via deep CNNs and pattern histogram (HL0, HH, WSZ, XX, JZ), pp. 2145–2149.
ICPR-2016-WimmerUH #classification #novel
A novel filterbank especially designed for the classification of colonic polyps (GW, AU, MH), pp. 2150–2155.
ICPR-2016-AfridiRS #framework #latency #learning #named
L-CNN: Exploiting labeling latency in a CNN learning framework (MJA, AR, EMS), pp. 2156–2161.
ICPR-2016-KumarDCT #data-driven
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers (KK, CD, AC, MT), pp. 2162–2167.
ICPR-2016-GordonL #machine learning #modelling
Exposing and modeling underlying mechanisms in ALS with machine learning (JG0, BL), pp. 2168–2173.
ICPR-2016-SahooA0 #approach #automation #clustering #generative #multi #using
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach (PS, SA, SS0), pp. 2174–2179.
ICPR-2016-BarddalGBE #benchmark #classification #data type #metric
A benchmark of classifiers on feature drifting data streams (JPB, HMG, AdSBJ, FE), pp. 2180–2185.
ICPR-2016-BarddalGGBE #learning #nearest neighbour
Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning (JPB, HMG, JG, AdSBJ, FE), pp. 2186–2191.
ICPR-2016-RaiNCD #clustering #graph #multi #using
Partial Multi-View Clustering using Graph Regularized NMF (NR, SN, SC, OD), pp. 2192–2197.
ICPR-2016-JeongKKN #detection
Facial landmark detection based on an ensemble of local weighted regressors during real driving situation (MJ, JYK, BK, JYN), pp. 2198–2203.
ICPR-2016-MiyauchiMTMFK #modelling #self
Angle- and volume-preserving mapping of organ volume model based on modified Self-organizing Deformable Model (SM, KM, TT, YM, TF, RK), pp. 2204–2209.
ICPR-2016-DutaNAIS #recognition #using
Boosting VLAD with double assignment using deep features for action recognition in videos (ICD, TAN0, KA, BI, NS), pp. 2210–2215.
ICPR-2016-SilvaBF #feature model #online
Online Weighted One-Class Ensemble for feature selection in background/foreground separation (CS, TB, CF), pp. 2216–2221.
ICPR-2016-OgawaMDCFH #adaptation #multi #performance #predict
A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation (TO, SHRM, ED, JC, NHF, HH), pp. 2222–2227.
ICPR-2016-RakicevicRPP #estimation #multi #random
Multi-modal Neural Conditional Ordinal Random Fields for agreement level estimation (NR, OR, SP, MP), pp. 2228–2233.
ICPR-2016-DentamaroCG #realtime
Real time Artificial Auditory Systems for cluttered environments (GD, AC, CG), pp. 2234–2239.
ICPR-2016-KannappanLT #automation #evaluation #summary #video
A pertinent evaluation of automatic video summary (SK, YL, BT), pp. 2240–2245.
ICPR-2016-WuWJ #learning #multi #recognition
Multiple Facial Action Unit recognition by learning joint features and label relations (SW, SW, QJ), pp. 2246–2251.
ICPR-2016-Zhen0WDAD #recognition
Magnifying subtle facial motions for 4D Expression Recognition (QZ, DH0, YW, HD, BBA, MD), pp. 2252–2257.
ICPR-2016-PatelHZ #recognition
Selective deep features for micro-expression recognition (DP, XH, GZ), pp. 2258–2263.
ICPR-2016-ZhongSL #adaptation #off the shelf #predict #recognition
Transferring from face recognition to face attribute prediction through adaptive selection of off-the-shelf CNN representations (YZ, JS, HL0), pp. 2264–2269.
ICPR-2016-HafriJLT #segmentation
Dual active contours model for HR-pQCT cortical bone segmentation (MH, RJ, EL, HT), pp. 2270–2275.
ICPR-2016-RiabchenkoMAITG #classification #fine-grained
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates (ER, KM, IA0, AI, VT, MG, SK), pp. 2276–2281.
ICPR-2016-XuLHWLWHC #3d #image #multi #retrieval #using #word
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images (YX, LL, HH, DW, YL, JW0, XHH, YWC), pp. 2282–2287.
ICPR-2016-JhuoWCL #framework
A feature fusion framework for hashing (IHJ, LW, WHC, DTL), pp. 2288–2293.
ICPR-2016-PluimMEM #image #validation
The truth is hard to make: Validation of medical image registration (JPWP, SEAM, KAJE, KM), pp. 2294–2300.
ICPR-2016-ChakeriFH #clustering
Spectral sparsification in spectral clustering (AC, HF, LOH), pp. 2301–2306.
ICPR-2016-Liu16a #classification #learning #multi #network #scalability
Hierarchical learning for large multi-class network classification (LL), pp. 2307–2312.
ICPR-2016-SinoaraRR #classification #semantics
Semantic role-based representations in text classification (RAS, RGR, SOR), pp. 2313–2318.
ICPR-2016-Norov-ErdeneKSK #classification #locality #multi #problem
Locality in multi-label classification problems (BNE, MK, LS, KK), pp. 2319–2324.
ICPR-2016-ZemeneTPP #clustering #detection #set #using
Simultaneous clustering and outlier detection using dominant sets (EZ, YTT, AP0, MP), pp. 2325–2330.
ICPR-2016-ComiterCKT #automation #clustering #distributed #implementation #parametricity
Lambda means clustering: Automatic parameter search and distributed computing implementation (MZC, MC, HTK, ST), pp. 2331–2337.
ICPR-2016-MatsuzakiUSS #2d #3d #constraints #geometry #retrieval #using #verification
Geometric verification using semi-2D constraints for 3D object retrieval (KM, YU, SS, SS), pp. 2338–2343.
ICPR-2016-BulatovKR #energy #generative #higher-order
Energy minimization of discrete functions with higher-order potentials for depth map generation (DB, BK, FR), pp. 2344–2349.
ICPR-2016-MorinakaSSIK #3d #parametricity #re-engineering
3D reconstruction under light ray distortion from parametric focal cameras (SM, FS, JS, KI, NK), pp. 2350–2355.
ICPR-2016-YodaNTKYK #image #multi #using
Dynamic photometric stereo method using multi-tap CMOS image sensor (TY, HN, RiT, KK, KY, SK), pp. 2356–2361.
ICPR-2016-KimCLM #3d #invariant #modelling #video
Expression invariant 3D face modeling from an RGB-D video (DK, JC, JTL, GGM), pp. 2362–2367.
ICPR-2016-ChenZC #image #segmentation
Partial membership latent Dirichlet allocation for image segmentation (CC, AZ, JTC), pp. 2368–2373.
ICPR-2016-GiraudTP #linear #named #using
SCALP: Superpixels with Contour Adherence using Linear Path (RG, VTT, NP), pp. 2374–2379.
ICPR-2016-MarkusPA #learning #optimisation
Learning local descriptors by optimizing the keypoint-correspondence criterion (NM, ISP, JA), pp. 2380–2385.
ICPR-2016-ItoMYA #interactive #segmentation
Interactive region segmentation for manga (KI, YM, TY, KA), pp. 2386–2391.
ICPR-2016-KhodabandehMVMP #learning #segmentation #video
Unsupervised learning of supervoxel embeddings for video Segmentation (MK, SM, AV, NM, EMP, SS, GM), pp. 2392–2397.
ICPR-2016-LiSH #image #precise #segmentation
Precise hand segmentation from a single depth image (ML, LS0, QH), pp. 2398–2403.
ICPR-2016-FrohlichKTTSW #2d #3d #visual notation
Region based fusion of 3D and 2D visual data for Cultural Heritage objects (RF, ZK, AT, LT, SS, YW), pp. 2404–2409.
ICPR-2016-OsmanliogluOHS #analysis #approximate #performance #problem
Efficient approximation of labeling problems with applications to immune repertoire analysis (YO, SO, UH, AS), pp. 2410–2415.
ICPR-2016-PassalisT #embedded #learning #retrieval #word
Bag of Embedded Words learning for text retrieval (NP, AT), pp. 2416–2421.
ICPR-2016-SharmaCH #architecture #framework #semantics
A unified framework for semantic matching of architectural floorplans (DS, CC, GH), pp. 2422–2427.
ICPR-2016-MatsukawaS #identification #using
Person re-identification using CNN features learned from combination of attributes (TM, ES), pp. 2428–2433.
ICPR-2016-DangCLOT #documentation #image #invariant #retrieval
Polygon-shape-based Scale and Rotation Invariant Features for camera-based document image retrieval (QBD, MC, MML, JMO, CDT), pp. 2434–2439.
ICPR-2016-BayramogluKH #classification #image #independence #learning
Deep learning for magnification independent breast cancer histopathology image classification (NB, JK, JH), pp. 2440–2445.
ICPR-2016-GattupalliCL #approach
A computational approach to relative aesthetics (VG, PSC, BL), pp. 2446–2451.
ICPR-2016-JinN #image #matter #order
Annotation order matters: Recurrent Image Annotator for arbitrary length image tagging (JJ, HN), pp. 2452–2457.
ICPR-2016-PengZ #network
Mutual information-based RBM neural networks (KHP, HZ), pp. 2458–2463.
ICPR-2016-Teerapittayanon #named #network #performance
BranchyNet: Fast inference via early exiting from deep neural networks (ST, BM, HTK), pp. 2464–2469.
ICPR-2016-GuY #approximate #on the #parametricity
On the magnitude of parameters of RBMs being universal approximators (LG, LY), pp. 2470–2474.
ICPR-2016-Forstner #learning #modelling #semantics
A future for learning semantic models of man-made environments (WF), pp. 2475–2485.
ICPR-2016-GhaderiA #learning #network
Selective unsupervised feature learning with Convolutional Neural Network (S-CNN) (AG, VA), pp. 2486–2490.
ICPR-2016-QuachtranHS #detection #learning #using
Detection of Intracranial Hypertension using Deep Learning (BQ, RBH, FS), pp. 2491–2496.
ICPR-2016-Williams #classification #network #using
Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks (DPW), pp. 2497–2502.
ICPR-2016-RotaSCP #analysis #education #forensics #image #learning #question #student
Bad teacher or unruly student: Can deep learning say something in Image Forensics analysis? (PR, ES, VC, CP), pp. 2503–2508.
ICPR-2016-MaltoniL
Semi-supervised tuning from temporal coherence (DM, VL0), pp. 2509–2514.
ICPR-2016-KohjimaMS #matrix #multi
Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences (MK, TM, HS), pp. 2515–2520.
ICPR-2016-MarcaciniCD #distance #on the
On combining Websensors and DTW distance for kNN Time Series Forecasting (RMM, JCC, JD), pp. 2521–2525.
ICPR-2016-Valverde-Rebaza #network #predict #social
Exploiting social and mobility patterns for friendship prediction in location-based social networks (JCVR, MR, PP, AdAL), pp. 2526–2531.
ICPR-2016-Prado-RomeroA #detection
Detecting contextual collective anomalies at a Glance (MAPR, AGA), pp. 2532–2537.
ICPR-2016-LuoTYZ #adaptation #approximate #matrix
Dual approximated nuclear norm based matrix regression via adaptive line search scheme (LL, QT, JY0, YZ), pp. 2538–2543.
ICPR-2016-RidiGH #modelling
Aggregation procedure of Gaussian Mixture Models for additive features (AR, CG, JH), pp. 2544–2549.
ICPR-2016-PuZZDY #approximate #clustering #matrix #multi #robust
Multiview clustering based on Robust and Regularized Matrix Approximation (JP, QZ0, LZ, BD, JY), pp. 2550–2555.
ICPR-2016-DupontMG #detection #recognition
Detecting low-quality reference time series in stream recognition (MD, PFM, NG), pp. 2556–2561.
ICPR-2016-ZemeneAP #retrieval #set
Constrained dominant sets for retrieval (EZ, LTA, MP), pp. 2568–2573.
ICPR-2016-JoyR0V #big data #optimisation #using
Hyperparameter tuning for big data using Bayesian optimisation (TTJ, SR, SG0, SV), pp. 2574–2579.
ICPR-2016-KatsukiI #set
Bayesian regression selecting valuable subset from mixed bag training data (TK, MI), pp. 2580–2585.
ICPR-2016-FagundesSS
Quantile regression of interval-valued data (RAdAF, RMCRdS, YMGS), pp. 2586–2591.
ICPR-2016-ShankarDG #learning #network
Reinforcement Learning via Recurrent Convolutional Neural Networks (TS, SKD, PG), pp. 2592–2597.
ICPR-2016-PreslesD #classification #invariant
A distance-based shape descriptor invariant to similitude and its application to shape classification (BP, JD), pp. 2598–2603.
ICPR-2016-MeyL #approach #self
A soft-labeled self-training approach (AM, ML), pp. 2604–2609.
ICPR-2016-GwonCK #network
Deep Sparse-coded Network (DSN) (YG, MC, HTK), pp. 2610–2615.
ICPR-2016-VoTPV #classification #detection #modelling
Model-based classification and novelty detection for point pattern data (BNV, NQT, DQP, BTV), pp. 2622–2627.
ICPR-2016-Lan0DAH #bound #matrix
A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization (CL, XL0, YD, JSA, JH), pp. 2628–2633.
ICPR-2016-BaiCWJ0H #classification #clustering #graph #kernel
Shape classification with a vertex clustering graph kernel (LB0, LC, YW0, XJ0, XB0, ERH), pp. 2634–2639.
ICPR-2016-RaytchevKKTK #learning
Ensemble-based local learning for high-dimensional data regression (BR, YK, MK, TT, KK), pp. 2640–2645.
ICPR-2016-YangL #learning #nondeterminism #using
Active learning using uncertainty information (YY, ML), pp. 2646–2651.
ICPR-2016-WangL #named #state machine
D-LSM: Deep Liquid State Machine with unsupervised recurrent reservoir tuning (QW0, PL0), pp. 2652–2657.
ICPR-2016-YanMK #generative
Generating commentaries for tennis videos (FY0, KM, JK), pp. 2658–2663.
ICPR-2016-Lobato-RiosHCT #comparison #linear #network #quality
Linear model optimizer vs Neural Networks: A comparison for improving the quality and saving of LED-Lighting control systems (VLR, VdRHC, JACO, JFMT), pp. 2664–2669.
ICPR-2016-HuangY #3d #network #using
Point cloud labeling using 3D Convolutional Neural Network (JH0, SY), pp. 2670–2675.
ICPR-2016-JamesC #classification #social #social media
Evolutionary data purification for social media classification (SJ, JPC), pp. 2676–2681.
ICPR-2016-NilssonO #classification #complexity #pattern matching #pattern recognition #recognition
Estimates of Classification Complexity for Myoelectric Pattern Recognition (NN, MOC), pp. 2682–2687.
ICPR-2016-JiaoZ #learning #multi #taxonomy #using
Multiple Instance Dictionary Learning using Functions of Multiple Instances (CJ, AZ), pp. 2688–2693.
ICPR-2016-OrriteRM #distance #learning #process #sequence #using
One-shot learning of temporal sequences using a distance dependent Chinese Restaurant Process (CO, MR, CM), pp. 2694–2699.
ICPR-2016-MoutafisLK #learning #metric
Regression-based metric learning (PM, ML, IAK), pp. 2700–2705.
ICPR-2016-YunLYKC #detection
Attention-inspired moving object detection in monocular dashcam videos (KY, JL, SY, SWK, JYC0), pp. 2706–2711.
ICPR-2016-RampalSI #estimation #performance
Fast and accurate scale estimation method for object tracking (KR, KS, HI), pp. 2712–2715.
ICPR-2016-WangLLCL #learning #visual notation
Visual tracking via sparsity pattern learning (YW, YL0, ZL, LFC, HL), pp. 2716–2721.
ICPR-2016-DasBC #set
An intensity- and region-guided narrow-band level set model for contour tracking (SD, SMB, ASC), pp. 2722–2727.
ICPR-2016-XiaoY #performance
Efficient tracking with distinctive target colors and silhouette (CX, AY), pp. 2728–2733.
ICPR-2016-LiZYK #adaptation
Adaptive and compressive target tracking based on feature point matching (FL, YZ, WQY0, RK), pp. 2734–2739.
ICPR-2016-TakahashiIKOM #multi #robust #using
Robust volleyball tracking system using multi-view cameras (MT, KI, MK, HO, TM), pp. 2740–2745.
ICPR-2016-QuachDLB16a #3d
Depth-based 3D hand pose tracking (KGQ, CND, KL, TDB), pp. 2746–2751.
ICPR-2016-WangJ #artificial reality #realtime
Real time eye gaze tracking with Kinect (KW, QJ), pp. 2752–2757.
ICPR-2016-SongHZMQ
Edge-guided depth map enhancement (XS, HH, FZ, XM, XQ), pp. 2758–2763.
ICPR-2016-ZhangHYK #clique #visual notation
Maximum clique based RGB-D visual odometry (YZ, ZH, JY0, HK), pp. 2764–2769.
ICPR-2016-KitaK
Virtual flattening of clothing item held in the air (YK, NK), pp. 2770–2776.
ICPR-2016-YuenMT #algorithm #dataset #evaluation #on the
On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset (KY, SM, MMT), pp. 2777–2782.
ICPR-2016-MartinROT #case study #coordination
Preparatory coordination of head, eyes and hands: Experimental study at intersections (SM, AR, EOB, MMT), pp. 2783–2788.
ICPR-2016-Perez-YusLG #hybrid #novel
A novel hybrid camera system with depth and fisheye cameras (APY, GLN, JJG), pp. 2789–2794.
ICPR-2016-CardosoMA #analysis #performance #problem
Plücker correction problem: Analysis and improvements in efficiency (JRC, PM, HA), pp. 2795–2800.
ICPR-2016-HaddadLTS #recognition
Initialized Iterative Closest Point for bone recognition in ultrasound volumes (OH, JL, JT, ES), pp. 2801–2806.
ICPR-2016-YokozukaTMB #refinement
Accurate depth-map refinement by per-pixel plane fitting for stereo vision (MY, KT, OM, AB), pp. 2807–2812.
ICPR-2016-AbarghoueiGB #3d #fourier
Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery (AAA, GPdLG, TPB), pp. 2813–2818.
ICPR-2016-BachaAB #probability #recognition #using #visual notation
Event recognition in photo albums using probabilistic graphical model and feature relevance (SB, MSA, NB), pp. 2819–2823.
ICPR-2016-RubioYSM #bound #named #segmentation
BASS: Boundary-Aware Superpixel Segmentation (AR, LY, ESS, FMN), pp. 2824–2829.
ICPR-2016-PalaniappanPAVF #detection #using
Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering (KP, MP, HA, RV, JF, FB, AB, SS, EB, RMR, GS), pp. 2830–2835.
ICPR-2016-SwamiDKV #detection #image #robust
A robust flash image shadow detection method and seamless recovery of shadow regions (KS, SKD, GK, AV), pp. 2836–2841.
ICPR-2016-NahaW16a #learning #segmentation #using
Object figure-ground segmentation using zero-shot learning (SN, YW0), pp. 2842–2847.
ICPR-2016-ChienKSF #online #visual notation
Visual odometry driven online calibration for monocular LiDAR-camera systems (HJC, RK, NS, UF), pp. 2848–2853.
ICPR-2016-SerinoB #3d #using
Using local convexities as anchor points for 3D curve skeletonization (LS, GSdB), pp. 2854–2859.
ICPR-2016-DahlanHS
Reflectance-aware optical flow (HAD, ERH, WAPS), pp. 2860–2865.
ICPR-2016-ChakrabortyPK #information management #recognition #speech #using
Spontaneous speech emotion recognition using prior knowledge (RC, MP, SKK), pp. 2866–2871.
ICPR-2016-ZhengCZZL #independence #network #using
Text-independent voice conversion using deep neural network based phonetic level features (HZ, WC, TZ, SZ, ML0), pp. 2872–2877.
ICPR-2016-ZhangLQ #network #using
Wake-up-word spotting using end-to-end deep neural network system (SZ, WL, YQ0), pp. 2878–2883.
ICPR-2016-SakaiMK #optimisation
Unmixing three types of lung sounds by convex optimization (TS, SM, SK), pp. 2884–2888.
ICPR-2016-ZhangQ #adaptation #agile #modelling #network
Rapid feature space MLLR speaker adaptation for deep neural network acoustic modeling (SZ, YQ0), pp. 2889–2894.
ICPR-2016-ZhaoZWJ #learning #multi
Multilingual articulatory features augmentation learning (YZ, RZ, XW0, QJ), pp. 2895–2899.
ICPR-2016-PironkovDD #automation #learning #multi #recognition #speech
Speaker-aware Multi-Task Learning for automatic speech recognition (GP, SD, TD), pp. 2900–2905.
ICPR-2016-ZhangGST #network #recognition
Application of pronunciation knowledge on phoneme recognition by LSTM neural network (BZ, YG, YS, BT), pp. 2906–2911.
ICPR-2016-LiLTPL #fine-grained #recognition #retrieval
Cross-scenario clothing retrieval and fine-grained style recognition (ZL, YL, WT, YP, YL), pp. 2912–2917.
ICPR-2016-TzelepiT #image #learning #retrieval
Exploiting supervised learning for finetuning deep CNNs in content based image retrieval (MT, AT), pp. 2918–2923.
ICPR-2016-ZhangT #automation #encoding #generative #video
Automatic video description generation via LSTM with joint two-stream encoding (CZ, YT), pp. 2924–2929.
ICPR-2016-WangZMLCL #difference #image #retrieval
Mutli-channel micro-structure difference descriptor for image retrieval (XW, CZ, DM, CL, YC, ZL), pp. 2930–2935.
ICPR-2016-Ye0L #3d #network #retrieval #sketching
3D sketch-based 3D model retrieval with convolutional neural network (YY, BL0, YL), pp. 2936–2941.
ICPR-2016-LuZJDTSX0 #query
Smart query expansion scheme for CDVS based on illumination and key features (TL, CZ, HJ, LD, LT, JS, XX, WG0), pp. 2942–2947.
ICPR-2016-KannaoG #segmentation
Story segmentation in TV news broadcast (RK, PG), pp. 2948–2953.
ICPR-2016-LiangSWMWSG #image #learning #optimisation #performance #precise #retrieval #similarity
Optimizing top precision performance measure of content-based image retrieval by learning similarity function (RZL, LS, HW, JM, JJYW, QS, YG), pp. 2954–2958.
ICPR-2016-AghaeiDR #detection #interactive #social
With whom do I interact? Detecting social interactions in egocentric photo-streams (MA, MD, PR), pp. 2959–2964.
ICPR-2016-AhmedS #named #novel #realtime #video
StableFlow: A novel real-time method for digital video stabilization (AA, MSS), pp. 2965–2970.
ICPR-2016-PandaDR #multi #network #summary #video
Video summarization in a multi-view camera network (RP, AD, AKRC), pp. 2971–2976.
ICPR-2016-NguyenEAB #named
HOOFR: An enhanced bio-inspired feature extractor (DDN, AE, EA, SB), pp. 2977–2982.
ICPR-2016-OrtellsM #case study #detection
Detection of duplicate identities in streams of biometric samples: A gait-based case study (JO, RAM), pp. 2983–2988.
ICPR-2016-HafemannSO #using #verification
Analyzing features learned for Offline Signature Verification using Deep CNNs (LGH, RS, LSO), pp. 2989–2994.
ICPR-2016-ZhangHMCP #3d #analysis #detection #image
Face spoofing detection based on 3D lighting environment analysis of image pair (XZ, XH, MM, CC0, SP), pp. 2995–3000.
ICPR-2016-AgarwalSV #classification
Fingerprint sensor classification via Mélange of handcrafted features (AA0, RS0, MV), pp. 3001–3006.
ICPR-2016-YangWL
The GIST of aligning faces (SY, AW, BCL), pp. 3007–3012.
ICPR-2016-FeiWZYZ #image #multi
Local multiple directional pattern of palmprint image (LF, JW, ZZ0, KY0, ZZ), pp. 3013–3018.
ICPR-2016-XuK #geometry #retrieval
A geometric-based tattoo retrieval system (XX, AWKK), pp. 3019–3024.
ICPR-2016-BertoliniOS #difference #identification #multi #using
Multi-script writer identification using dissimilarity (DB, LSO, RS), pp. 3025–3030.
ICPR-2016-PrimoracTBS #recognition
Audio-visual biometric recognition via joint sparse representations (RP, RT, MB, FAS), pp. 3031–3035.
ICPR-2016-MurakamiKT #on the #strict
On restricting modalities in likelihood-ratio based biometric score fusion (TM, YK, KT), pp. 3036–3042.
ICPR-2016-Chun #adaptation #authentication #using
Small scale single pulse ECG-based authentication using GLRT that considers T wave shift and adaptive template update with prior information (SYC), pp. 3043–3048.
ICPR-2016-ItoA #authentication #using
A score calculation method using positional information of feature points for biometric authentication (KI, TA), pp. 3049–3054.
ICPR-2016-SunBTTH #detection #learning #locality #using
Tattoo detection and localization using region-based deep learning (ZS, JB, PT, MT, AH), pp. 3055–3060.
ICPR-2016-Gonzalez-SosaDV #estimation #gender
Image-based gender estimation from body and face across distances (EGS, AD, RVR, JLD, FB, JF), pp. 3061–3066.
ICPR-2016-Martinho-Corbishley #identification #semantics
Retrieving relative soft biometrics for semantic identification (DMC, MSN, JNC), pp. 3067–3072.
ICPR-2016-SatoMKTKT #automation #gesture
Automated help system for novice older users from touchscreen gestures (DS0, TM, TK, YT, TK, HT), pp. 3073–3078.
ICPR-2016-RichterLB #automation #visual notation #word
Knowing when you don't: Bag of visual words with reject option for automatic visual inspection of bulk materials (MR0, TL, JB), pp. 3079–3084.
ICPR-2016-GarrettRS #3d #artificial reality #process
GPU-accelerated descriptor extraction process for 3D registration in Augmented Reality (TG, RR, JWS), pp. 3085–3090.
ICPR-2016-DaoodRB #classification #multi #recognition #using
Pollen recognition using a multi-layer hierarchical classifier (AD, ER, MB), pp. 3091–3096.
ICPR-2016-KsibiMA #identification
Topological weighted fisher vectors for person re-identification (SK, MM, CBA), pp. 3097–3102.
ICPR-2016-Rowekamp #performance #using
Fast thresholding of high dimensional Euclidean distances using binary squaring (JHR), pp. 3103–3108.
ICPR-2016-GranaBBV #benchmark #component #metric
YACCLAB - Yet Another Connected Components Labeling Benchmark (CG, FB, LB, RV), pp. 3109–3114.
ICPR-2016-SarafianosNK #estimation #predict
Predicting privileged information for height estimation (NS, CN, IAK), pp. 3115–3120.
ICPR-2016-RozsaGRB #question #robust
Are facial attributes adversarially robust? (AR, MG, EMR, TEB), pp. 3121–3127.
ICPR-2016-ShwetaE0B #architecture #identification #interactive #learning
A deep learning architecture for protein-protein Interaction Article identification (S, AE, SS0, PB), pp. 3128–3133.
ICPR-2016-ChowdhuryBMKS #image #network #performance #retrieval #using
An efficient radiographic Image Retrieval system using Convolutional Neural Network (MC, SRB, RM, MKK, ÖS), pp. 3134–3139.
ICPR-2016-BolanosR #locality #recognition
Simultaneous food localization and recognition (MB, PR), pp. 3140–3145.
ICPR-2016-BorgaAL #image #learning #segmentation
Semi-supervised learning of anatomical manifolds for atlas-based segmentation of medical images (MB, TA, ODL), pp. 3146–3149.
ICPR-2016-TizhooshMZD #image #retrieval #using
Barcodes for medical image retrieval using autoencoded Radon transform (HRT, CM, SZ, SD), pp. 3150–3155.
ICPR-2016-Li0RNVAL #multi #predict
Multiple adverse effects prediction in longitudinal cancer treatment (CL0, SG0, SR, VN0, SV, DA, TL), pp. 3156–3161.
ICPR-2016-OrueG #graph #process #recognition #using
Face recognition using activities of directed graphs in spatial pyramid (JPMO, WNG), pp. 3162–3167.
ICPR-2016-NguyenKDCPC16a #fault #segmentation
Segmentation of defects on log surface from terrestrial lidar data (VTN, BK, IDR, FC, AP, TC), pp. 3168–3173.
ICPR-2016-TranVPV #clustering
Clustering for point pattern data (NQT, BNV, DQP, BTV), pp. 3174–3179.
ICPR-2016-WanLT #similarity
Simplifying Gaussian mixture model via model similarity (YW, XL, YT), pp. 3180–3185.
ICPR-2016-Nilsson #consistency #learning #taxonomy
Sparse coding with unity range codes and label consistent discriminative dictionary learning (MN), pp. 3186–3191.
ICPR-2016-ZhaoIBJ #fault #predict #using
Wind turbine fault prediction using soft label SVM (RZ, MRAI, KPB, QJ), pp. 3192–3197.
ICPR-2016-SharabatiX #approach #performance #polynomial
Fast local polynomial regression approach for speckle noise removal (WKS, BX), pp. 3198–3203.
ICPR-2016-Bodis-SzomoruRG #performance #re-engineering
Efficient volumetric fusion of airborne and street-side data for urban reconstruction (ABS, HR, LVG), pp. 3204–3209.
ICPR-2016-KobayashiO #component #image #multi
Separating reflection components in images under multispectral and multidirectional light sources (NK, TO), pp. 3210–3215.
ICPR-2016-LeonardMHC #2d #composition #similarity
A 2D shape structure for decomposition and part similarity (KL, GM, SH, AC), pp. 3216–3221.
ICPR-2016-ZhuangYH #approach #modelling #retrieval #scalability #video
DLSTM approach to video modeling with hashing for large-scale video retrieval (NZ, JY0, KAH), pp. 3222–3227.
ICPR-2016-XuSARS #learning #multi #recognition #retrieval #taxonomy
Multi-Paced Dictionary Learning for cross-domain retrieval and recognition (DX0, JS, XAP, ER0, NS), pp. 3228–3233.
ICPR-2016-LiuGX #constraints #network #synthesis
Texture synthesis through convolutional neural networks and spectrum constraints (GL0, YG, GSX), pp. 3234–3239.
ICPR-2016-ShanXS #detection #video
A new method for spatiotemporal textual saliency detection in video (SS, HX, FS), pp. 3240–3245.
ICPR-2016-HeLYHHDL #benchmark #framework #metric #recognition
Context-aware mathematical expression recognition: An end-to-end framework and a benchmark (WH, YL, FY, HH, JH, ED, CLL), pp. 3246–3251.
ICPR-2016-SunHH #clustering
Structural feature-based event clustering for short text streams (ZS, JH, HH), pp. 3252–3257.
ICPR-2016-CoteA #analysis #documentation #evaluation #image #statistics
Layered ground truth: Conveying structural and statistical information for document image analysis and evaluation (MC, ABA), pp. 3258–3263.
ICPR-2016-YeZL #classification #documentation #network #online #random
Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents (JYY, YMZ, CLL), pp. 3264–3269.
ICPR-2016-SunHLK #learning #multi #network #recognition
Multiple Instance Learning Convolutional Neural Networks for object recognition (MS, TXH, MCL, AKR), pp. 3270–3275.
ICPR-2016-FengLXYM #network #traversal
Face hallucination by deep traversal network (ZXF, JHL, XX, DY, LM), pp. 3276–3281.
ICPR-2016-ZhuWLZ #gender #learning #lightweight #network #recognition
Learning a lightweight deep convolutional network for joint age and gender recognition (LZ, KW, LL, LZ0), pp. 3282–3287.
ICPR-2016-DushkoffMP #algorithm
A temporally coherent neural algorithm for artistic style transfer (MD, RM, RWP), pp. 3288–3293.
ICPR-2016-HaneP #3d #overview #re-engineering #semantics
An overview of recent progress in volumetric semantic 3D reconstruction (CH, MP), pp. 3294–3307.
ICPR-2016-HuangYZZ #classification #reduction #robust
Rough Neighborhood Covering Reduction for robust classification (WH, XY, CZ, NZ), pp. 3308–3313.
ICPR-2016-TaxW #precise
Class-dependent, non-convex losses to optimize precision (DMJT, FW), pp. 3314–3319.
ICPR-2016-DubosBAS #classification
ROC-based cost-sensitive classification with a reject option (CD, SB, SA, RS), pp. 3320–3325.
ICPR-2016-Sahbi #detection #image #interactive
Misalignment resilient CCA for interactive satellite image change detection (HS), pp. 3326–3331.
ICPR-2016-Kamkar0LPV #graph #predict #using
Stable clinical prediction using graph support vector machines (IK, SG0, CL0, DQP, SV), pp. 3332–3337.
ICPR-2016-YeWH #generative #graph #using
Analyzing graph time series using a generative model (CY, RCW0, ERH), pp. 3338–3343.
ICPR-2016-IshiiSIMSIN #classification #detection #multi
Detection by classification of buildings in multispectral satellite imagery (TI, ESS, SI, YM, AS, HI0, RN), pp. 3344–3349.
ICPR-2016-Ohn-BarT16a #detection
To boost or not to boost? On the limits of boosted trees for object detection (EOB, MMT), pp. 3350–3355.
ICPR-2016-AzzopardiFAP
Increased generalization capability of trainable COSFIRE filters with application to machine vision (GA, LFR, EA, NP), pp. 3356–3361.
ICPR-2016-GouWWWJ #detection
Learning-by-synthesis for accurate eye detection (CG, YW0, KW, FYW0, QJ), pp. 3362–3367.
ICPR-2016-QinJYW #image #recognition #using
Building facade recognition from aerial images using Delaunay Triangulation induced feature perceptual grouping (XQ, MJ, XY, JW0), pp. 3368–3373.
ICPR-2016-GalaiNB #mobile
Crossmodal point cloud registration in the Hough space for mobile laser scanning data (BG, BN, CB), pp. 3374–3379.
ICPR-2016-Ren0YZH0 #detection #novel #recognition
A novel text structure feature extractor for Chinese scene text detection and recognition (XR, KC0, XY, YZ0, JH, JS0), pp. 3380–3385.
ICPR-2016-BappyR #recognition
Inter-dependent CNNs for joint scene and object recognition (JHB, AKRC), pp. 3386–3391.
ICPR-2016-Ohn-BarT16b #question #what
What makes an on-road object important? (EOB, MMT), pp. 3392–3397.
ICPR-2016-WangZYP #classification #detection
Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification (SW, EZ, JY, FP), pp. 3398–3403.
ICPR-2016-EumD #evaluation #multi #using
Content selection using frontalness evaluation of multiple frames (SE, DSD), pp. 3404–3409.
ICPR-2016-HeCL #identification #re-engineering
Cross-view transformation based sparse reconstruction for person re-identification (WXH, YCC, JHL), pp. 3410–3415.
ICPR-2016-StunerCP #network #recognition #word
Cascading BLSTM networks for handwritten word recognition (BS, CC0, TP), pp. 3416–3421.
ICPR-2016-0001PL #correlation #independence #verification
Compact correlated features for writer independent signature verification (AD0, UP0, JL0), pp. 3422–3427.
ICPR-2016-DuWZH #markov #network #recognition
Deep neural network based hidden Markov model for offline handwritten Chinese text recognition (JD, ZRW, JFZ, JSH), pp. 3428–3433.
ICPR-2016-WichtFH #keyword #learning
Deep learning features for handwritten keyword spotting (BW, AF0, JH), pp. 3434–3439.
ICPR-2016-ZhongZYL #network #recognition
Handwritten Chinese character recognition with spatial transformer and deep residual networks (ZZ, XYZ, FY, CLL), pp. 3440–3445.
ICPR-2016-Julca-AguilarHM #classification
Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions (FDJA, NSTH, HM, CVG), pp. 3446–3451.
ICPR-2016-TocaPC #classification
AutoMarkov DNNs for object classification (CT, CP, MC), pp. 3452–3457.
ICPR-2016-AbdicFBARMS #approach #detection #learning
Detecting road surface wetness from audio: A deep learning approach (IA, LF, DEB, WA, BR, EM, BWS), pp. 3458–3463.
ICPR-2016-McCaneS #network #performance
Deep networks are efficient for circular manifolds (BM, LS), pp. 3464–3469.
ICPR-2016-TabernikKWL #composition #network #towards
Towards deep compositional networks (DT, MK, JLW, AL), pp. 3470–3475.
ICPR-2016-DasguptaN #classification #fine-grained #multi
Leveraging multiple tasks to regularize fine-grained classification (RD, AMN), pp. 3476–3481.
ICPR-2016-Liu0 #complexity #online
One-pass online SVM with extremely small space complexity (YL, JX0), pp. 3482–3487.
ICPR-2016-CorniaBSC #multi #network #predict
A deep multi-level network for saliency prediction (MC, LB, GS0, RC), pp. 3488–3493.
ICPR-2016-NieZJ #data transformation #network #representation
Latent regression Bayesian network for data representation (SN, YZ, QJ), pp. 3494–3499.
ICPR-2016-YamashitaFYF #detection #multi #network #using
Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network (TY, HF, YY, HF), pp. 3500–3505.
ICPR-2016-XuT #3d #learning #network
Beam search for learning a deep Convolutional Neural Network of 3D shapes (XX, ST), pp. 3506–3511.
ICPR-2016-PathirageLL #recognition
Discriminant auto encoders for face recognition with expression and pose variations (CSNP, LL0, WL), pp. 3512–3517.
ICPR-2016-Burlina #named #performance
MRCNN: A stateful Fast R-CNN (PB), pp. 3518–3523.
ICPR-2016-0001CLL #named #recognition
MSR-CNN: Applying motion salient region based descriptors for action recognition (ZT0, JC, YL, BL), pp. 3524–3529.
ICPR-2016-TobiasDRMF #case study #mobile #network #recognition
Convolutional Neural Networks for object recognition on mobile devices: A case study (LT, AD, FR0, GM, RF), pp. 3530–3535.
ICPR-2016-GhoshC #feature model
Deep feature extraction in the DCT domain (AG, RC), pp. 3536–3541.
ICPR-2016-Pham0PV #network #performance
Faster training of very deep networks via p-norm gates (TP, TT0, DQP, SV), pp. 3542–3547.
ICPR-2016-Uchida0O #network
Coupled convolution layer for convolutional neural network (KU, MT0, MO), pp. 3548–3553.
ICPR-2016-WangLP #network #visual notation
Finetuning Convolutional Neural Networks for visual aesthetics (YW, YL, FP), pp. 3554–3559.
ICPR-2016-Triantafyllidou #detection #incremental #learning #network
Face detection based on deep convolutional neural networks exploiting incremental facial part learning (DT, AT), pp. 3560–3565.
ICPR-2016-NogueiraMCSS #image #learning #semantics
Learning to semantically segment high-resolution remote sensing images (KN, MDM, JC, WRS, JAdS), pp. 3566–3571.
ICPR-2016-KabkabHC #network #on the #performance
On the size of Convolutional Neural Networks and generalization performance (MK, EMH, RC), pp. 3572–3577.
ICPR-2016-NookaCVSP #adaptation #classification #network
Adaptive hierarchical classification networks (SPN, SC, KV, SS, RWP), pp. 3578–3583.
ICPR-2016-NieGJ #feature model #framework #integer #programming
An information theoretic feature selection framework based on integer programming (SN, TG, QJ), pp. 3584–3589.
ICPR-2016-YoshiyasuY #reduction
Nonlinear dimensionality reduction by curvature minimization (YY, EY), pp. 3590–3596.
ICPR-2016-ZhugeHNY #clustering #feature model #graph #using
Unsupervised feature extraction using a learned graph with clustering structure (WZ, CH, FN, DY), pp. 3597–3602.
ICPR-2016-KudoKHT #multi #visualisation
Simultaneous visualization of samples, features and multi-labels (MK, KK, MH, HT), pp. 3603–3608.
ICPR-2016-TasakiLC #estimation
Simplex-based dimension estimation of topological manifolds (HT, RL, JC), pp. 3609–3614.
ICPR-2016-ZhengYYY #feature model #learning #robust
Robust unsupervised feature selection by nonnegative sparse subspace learning (WZ, HY, JY0, JY), pp. 3615–3620.
ICPR-2016-SuCHH #detection #image #modelling #recognition #symmetry #using
Moment-based symmetry detection for scene modeling and recognition using RGB-D images (JYS, SCC, JWH, THH), pp. 3621–3626.
ICPR-2016-KatsukiMI #recognition
Unsupervised object counting without object recognition (TK, TM, TI), pp. 3627–3632.
ICPR-2016-NguyenNVP #clustering #multi #named #parametricity #semistructured data
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data (TBN, VN0, SV, DQP), pp. 3633–3638.
ICPR-2016-CarbonneauGG #identification #learning #multi #random #using
Witness identification in multiple instance learning using random subspaces (MAC, EG, GG), pp. 3639–3644.
ICPR-2016-OzanKG #approximate #nearest neighbour
Joint K-Means quantization for Approximate Nearest Neighbor Search (ECO, SK, MG), pp. 3645–3649.
ICPR-2016-HouXX0 #classification #graph #learning
Semi-supervised learning competence of classifiers based on graph for dynamic classifier selection (CH, YX, ZX, JS0), pp. 3650–3654.
ICPR-2016-UlmB #learning
Learning tubes (MU, NB), pp. 3655–3660.
ICPR-2016-SubramanianR0SV #multi #parametricity
Bayesian nonparametric Multiple Instance Regression (SS, SR, SG0, PBS, CSV, SV), pp. 3661–3666.
ICPR-2016-GaoYGC #approach #constraints #network #using
Bayesian approach to learn Bayesian networks using data and constraints (XGG, YY, ZgG, DQC0), pp. 3667–3672.
ICPR-2016-KanehiraSH #learning #multi #scalability
True-negative label selection for large-scale multi-label learning (AK, AS, TH), pp. 3673–3678.
ICPR-2016-Kobayashi #data-driven #image #learning #similarity
Learning data-driven image similarity measure (TK), pp. 3679–3684.
ICPR-2016-WangTLW #classification #representation #robust
Information-theoretic atomic representation for robust pattern classification (YW, YYT, LL, PSPW), pp. 3685–3690.
ICPR-2016-VargaS #automation #image #network
Fully automatic image colorization based on Convolutional Neural Network (DV, TS), pp. 3691–3696.
ICPR-2016-ZhangOLO #recognition
Integrating deep features for material recognition (YZ0, MO, XL0, TO), pp. 3697–3702.
ICPR-2016-PistellatoABT #multi #robust
Robust joint selection of camera orientations and feature projections over multiple views (MP, AA, FB, AT), pp. 3703–3708.
ICPR-2016-BylowOK #3d #online #re-engineering #robust
Robust online 3D reconstruction combining a depth sensor and sparse feature points (EB, CO, FK), pp. 3709–3714.
ICPR-2016-CosmoABTRC #approach #image #multi
A game-theoretical approach for joint matching of multiple feature throughout unordered images (LC, AA, FB, AT, ER, DC), pp. 3715–3720.
ICPR-2016-LiCWY #image #optimisation #self
Optimization of radial distortion self-calibration for structure from motion from uncalibrated UAV images (YL, YC, DW, YY), pp. 3721–3726.
ICPR-2016-CuiSH #robust
Robust global translation averaging with feature tracks (HC, SS, ZH), pp. 3727–3732.
ICPR-2016-LuoGPWY #locality #mobile #multi #using
Accurate localization for mobile device using a multi-planar city model (YL, TG, HP, YW, JY), pp. 3733–3738.
ICPR-2016-BergamascoCSAT #estimation #multi #segmentation
Dense multi-view homography estimation and plane segmentation (FB, LC, MS, AA, AT), pp. 3739–3744.
ICPR-2016-EichhardtH #using
Improvement of camera calibration using surface normals (IE, LH), pp. 3745–3750.
ICPR-2016-RoyTL #learning #network
Context-regularized learning of fully convolutional networks for scene labeling (AR, ST, LJL), pp. 3751–3756.
ICPR-2016-Guo0WLW #modelling #recognition
An attention model based on spatial transformers for scene recognition (SG, LL0, WW0, SL, LW0), pp. 3757–3762.
ICPR-2016-JohnKGNMI #learning #modelling #performance #segmentation #using
Fast road scene segmentation using deep learning and scene-based models (VJ, KK, CG, HTN, SM, KI), pp. 3763–3768.
ICPR-2016-AytekinIKG #graph #segmentation
Salient object segmentation based on linearly combined affinity graphs (ÇA, AI, SK, MG), pp. 3769–3774.
ICPR-2016-NaminAP #2d #3d #higher-order #segmentation #semantics #using
2D-3D semantic segmentation using cardinality as higher-order loss (SRN, JMA, LP), pp. 3775–3780.
ICPR-2016-GasparettoCTW
Non-rigid dense bijective maps (AG, LC, AT, RCW0), pp. 3781–3786.
ICPR-2016-MinciulloC #analysis #automation #detection
Fully automated shape analysis for detection of Osteoarthritis from lateral knee radiographs (LM, TFC), pp. 3787–3791.
ICPR-2016-SantaK #algebra #framework #image
An algebraic framework for deformable image registration (ZS, ZK), pp. 3792–3797.
ICPR-2016-FleischmannK #interactive #performance
Fast projector-camera calibration for interactive projection mapping (OF, RK), pp. 3798–3803.
ICPR-2016-NaharJ #estimation
Dense disparity estimation based on feature matching and IGMRF regularization (SN, MVJ), pp. 3804–3809.
ICPR-2016-PalmerBEHA
Calibration, positioning and tracking in a refractive and reflective scene (TP, GB, MTE, LAH, ), pp. 3810–3815.
ICPR-2016-Lourakis #performance
An efficient solution to absolute orientation (MIAL), pp. 3816–3819.
ICPR-2016-PellicanoAH #estimation #robust #video
Robust wide baseline pose estimation from video (NP, EA, SLHM), pp. 3820–3825.
ICPR-2016-Nguyen #automation #generative #image #using
Automatic generation of a realistic looking single image stereogram using stereo vision (MN), pp. 3826–3831.
ICPR-2016-YanRZC #approach #clustering #set
A constrained clustering based approach for matching a collection of feature sets (JY, ZR, HZ, SMC), pp. 3832–3837.
ICPR-2016-AhmedK #learning #multi #taxonomy
Coupled multiple dictionary learning based on edge sharpness for single-image super-resolution (JA, RK), pp. 3838–3843.
ICPR-2016-ZhangSLTWF #adaptation
Adaptive Hashing with Sparse Modification (LZ, QS, DL, XT, PSW, GCF), pp. 3844–3849.
ICPR-2016-AgustssonTG #learning
Regressor Basis Learning for anchored super-resolution (EA, RT, LVG), pp. 3850–3855.
ICPR-2016-LiGYZ #identification
Person re-identification via person DPM based partition (SL, CG, HY, JZ), pp. 3856–3861.
ICPR-2016-RaytchevKTK #kernel #recognition #representation #using
Higher-level representation of local spatio-temporal features for human action recognition using Subspace Matching Kernels (BR, HK, TT, KK), pp. 3862–3867.
ICPR-2016-KovvuriNS #detection #modelling
Segment-based models for event detection and recounting (RK, RN, CGMS), pp. 3868–3873.
ICPR-2016-SamarasMP #identification #robust
Robustness in blind camera identification (SS, VM, IP), pp. 3874–3879.
ICPR-2016-0013LS #3d #approach #retrieval #semantics #sketching
A semantic tree-based approach for sketch-based 3D model retrieval (BL0, YL, JS), pp. 3880–3885.
ICPR-2016-QinSLPT #categorisation #detection #recognition #video
Video scene text frames categorization for text detection and recognition (LQ, PS, TL, UP0, CLT), pp. 3886–3891.
ICPR-2016-ZhangZHH #image
Face image super-resolution via weighted patches regression (YZ, ZZ, GH, ERH), pp. 3892–3897.
ICPR-2016-ElTantawyS #matrix #novel #physics #using
A novel method for segmenting moving objects in aerial imagery using matrix recovery and physical spring model (AE, MSS), pp. 3898–3903.
ICPR-2016-AsplundHTS #approach
A new approach to mathematical morphology on one dimensional sampled signals (TA, CLLH, MJT, RS), pp. 3904–3909.
ICPR-2016-ZhaoSJ #classification #identification #robust
Robust signal identification for dynamic pattern classification (RZ, GS, QJ), pp. 3910–3915.
ICPR-2016-HosseinKhaniKSH #image #random #realtime
Real-time removal of random value impulse noise in medical images (ZH, NK, SMRS, MH, SS, KW, KN), pp. 3916–3921.
ICPR-2016-ZhengTZW #estimation #graph #reduction
Maximal level estimation and unbalance reduction for graph signal downsampling (XZ, YYT, JZ0, PSPW), pp. 3922–3926.
ICPR-2016-AhnKK #quality #visual notation
Patch-based visual microphone for improving quality of sound (JA, YJK, DK0), pp. 3927–3932.
ICPR-2016-VandoniHA #detection #process
Crack detection based on a Marked Point Process model (JV, SLHM, EA), pp. 3933–3938.
ICPR-2016-ZhangCUL #algorithm #performance
MLPF algorithm for tracking fast moving target against light interference (LZ, YC, ZU, TL), pp. 3939–3944.
ICPR-2016-MoralesROOOI #analysis #estimation #video
Outdoor omnidirectional video completion via depth estimation by motion analysis (CM, MR, YO, SO, TO, KI), pp. 3945–3950.
ICPR-2016-ZhangZ #detection #effectiveness #video
Effective real-scenario Video Copy Detection (YZ, XZ), pp. 3951–3956.
ICPR-2016-ShiWXW #adaptation #image #using
OTSU guided adaptive binarization of CAPTCHA image using gamma correction (CS, YW, BX, CW), pp. 3962–3967.
ICPR-2016-TakezawaHT #detection #documentation #image #using
Camera-captured document image perspective distortion correction using vanishing point detection based on Radon transform (YT, MH, ST), pp. 3968–3974.
ICPR-2016-ShangWHF0N #segmentation
Character region segmentation based on Stroke Stable Regions (HS, LW, TH, WF0, JS0, SN), pp. 3975–3980.
ICPR-2016-LyuSZB #image #multi #network
Distinguishing text/non-text natural images with Multi-Dimensional Recurrent Neural Networks (PL, BS, CZ, XB), pp. 3981–3986.
ICPR-2016-TounsiMA #framework #learning #recognition #taxonomy
Supervised dictionary learning in BoF framework for Scene Character recognition (MT, IM, AMA), pp. 3987–3992.
ICPR-2016-YuLC #multi #using
Recognizing text in historical maps using maps from multiple time periods (RY, ZL, YYC), pp. 3993–3998.
ICPR-2016-LiuKWK #classification #recognition #word
Scene text recognition with CNN classifier and WFST-based word labeling (XL, TK, XW, KK), pp. 3999–4004.
ICPR-2016-IwataOWK #detection #recognition #retrieval #video
Recognition and transition frame detection of Arabic news captions for video retrieval (SI, WO, TW, FK), pp. 4005–4010.
ICPR-2016-XieSJFZ #network #recognition
Fully convolutional recurrent network for handwritten Chinese text recognition (ZX, ZS, LJ, ZF, SZ), pp. 4011–4016.
ICPR-2016-KesimanPBO #case study #feature model #image #recognition
Study on feature extraction methods for character recognition of Balinese script on palm leaf manuscript images (MWAK, SP, JCB, JMO), pp. 4017–4022.
ICPR-2016-KhareSKCLB #classification #metric #quality #video
A quad tree based method for blurred and non-blurred video text frames classification through quality metrics (VK, PS, AK, CSC, TL, MB), pp. 4023–4028.
ICPR-2016-HuynhXG #image #representation #segmentation
Morphology-based hierarchical representation with application to text segmentation in natural images (LDH, YX, TG), pp. 4029–4034.
ICPR-2016-JenckelBD #documentation #learning #named #sequence
anyOCR: A sequence learning based OCR system for unlabeled historical documents (MJ, SSB, AD0), pp. 4035–4040.
ICPR-2016-TripathyCNP #invariant #multi #recognition
A scale and rotation invariant scheme for multi-oriented Character Recognition (NT, TC, MN, UP0), pp. 4041–4046.
ICPR-2016-UchidaS #question #what
What does scene text tell us? (SU, YS), pp. 4047–4052.
ICPR-2016-MeiDSB #identification #network
Scene text script identification with Convolutional Recurrent Neural Networks (JM, LD, BS, XB), pp. 4053–4058.
ICPR-2016-KieuCV #documentation #image
Local blur correction for document images (VCK, FC, NV), pp. 4059–4064.
ICPR-2016-NagyS
Table headers: An entrance to the data mine (GN, SCS), pp. 4065–4070.
ICPR-2016-KooliB #documentation #graph #recognition
Inexact graph matching for entity recognition in OCRed documents (NK, AB), pp. 4071–4076.
ICPR-2016-CorbelliBGC #analysis #classification #documentation #layout
Historical document digitization through layout analysis and deep content classification (AC, LB, CG, RC), pp. 4077–4082.
ICPR-2016-YangJNL #network #normalisation #online #recognition #using
Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network (WY, LJ, HN, TL), pp. 4083–4088.
ICPR-2016-YangWWJ #multi #recognition
Multiple facial action unit recognition enhanced by facial expressions (JY, SW, SW, QJ), pp. 4089–4094.
ICPR-2016-BhagavatulaAS #estimation #using
Pose estimation using Spectral and Singular Value recomposition (CB, RA, MS), pp. 4095–4100.
ICPR-2016-ZhengCBPC #verification
VLAD encoded Deep Convolutional features for unconstrained face verification (JZ, JCC, NB, VMP, RC), pp. 4101–4106.
ICPR-2016-MaoZCLHY16a #collaboration #learning #recognition #taxonomy
Group and collaborative dictionary pair learning for face recognition (MM, ZZ, ZC, HL, XH, RY), pp. 4107–4111.
ICPR-2016-LuCC #adaptation #metric #verification
Regularized metric adaptation for unconstrained face verification (BL, JCC, RC), pp. 4112–4117.
ICPR-2016-VoSL #ranking #recognition
Facial expression recognition by re-ranking with global and local generic features (DMV, AS, THL), pp. 4118–4123.
ICPR-2016-AcevedoNBM #recognition
Facial expression recognition based on static and dynamic approaches (DA, PN, MEB, MM), pp. 4124–4129.
ICPR-2016-SaeedA #framework #locality #recognition
A framework for joint facial expression recognition and point localization (AS, AAH), pp. 4130–4135.
ICPR-2016-KimV #classification #semantics #using
Deep Action Unit classification using a binned intensity loss and semantic context model (EK, SV), pp. 4136–4141.
ICPR-2016-HuangL #hybrid #recognition
Hybrid hypergraph construction for facial expression recognition (YH, HL), pp. 4142–4147.
ICPR-2016-ZamzamiPGKAS #analysis #approach #automation #multimodal
An approach for automated multimodal analysis of infants' pain (GZ, CYP, DBG, RK, TA, YS0), pp. 4148–4153.
ICPR-2016-WeissenbergRDG #np-hard #optimisation #problem
Dilemma First Search for effortless optimization of NP-hard problems (JW, HR, RD, LVG), pp. 4154–4159.
ICPR-2016-WangB #network #predict
Link prediction via Supervised Dynamic Network Formation (YW0, LB0), pp. 4160–4165.
ICPR-2016-LuoLQ #analysis #bound #optimisation #probability
Bound analysis of natural gradient descent in stochastic optimization setting (ZL, DL, YQ), pp. 4166–4171.
ICPR-2016-AydinA #evolution #mining #sequence
Spatiotemporal event sequence mining from evolving regions (BA, RAA), pp. 4172–4177.
ICPR-2016-XiangXZH #constraints #image
Locally warping-based image stitching by imposing line constraints (TX, GSX, LZ, NH), pp. 4178–4183.
ICPR-2016-ZhangGSSL #robust #using
Robust tensor factorization using maximum correntropy criterion (MZ, YG, CS, JLS, JL), pp. 4184–4189.
ICPR-2016-Altamirano-Gomez #algebra #detection #geometry
Conformal Geometric Algebra method for detection of geometric primitives (GEAG, EBC), pp. 4190–4195.
ICPR-2016-GuanCSRR #image #multimodal #stack
Image stack surface area minimization for groupwise and multimodal affine registration (BHG, JC, MS, SR, AR0), pp. 4196–4201.
ICPR-2016-AncutiAVGB #multi
Multi-scale underwater descattering (CA, COA, CDV, RG, ACB), pp. 4202–4207.
ICPR-2016-Ogino0SO #video
Super high dynamic range video (YO, MT0, TS, MO), pp. 4208–4213.
ICPR-2016-GhaemmaghamiNYS #adaptation #visual notation
Sparse-coded cross-domain adaptation from the visual to the brain domain (PG, MN, YY0, NS), pp. 4214–4219.
ICPR-2016-KhelifiM #approach #image #multi #problem #segmentation
A multi-objective approach based on TOPSIS to solve the image segmentation combination problem (LK, MM), pp. 4220–4225.
ICPR-2016-SagonasPARZ #automation #robust
Back to the future: A fully automatic method for robust age progression (CS, YP, SA, NR, SZ), pp. 4226–4231.
ICPR-2016-SvobodaMB #learning #recognition
Palmprint recognition via discriminative index learning (JS, JM, MMB), pp. 4232–4237.
ICPR-2016-YangA #behaviour #online
Analyzing user behavior in online advertising with facial expressions (SY, LA), pp. 4238–4243.
ICPR-2016-LiKZYP #anti #detection
Generalized face anti-spoofing by detecting pulse from face videos (XL, JK, GZ, PCY, MP), pp. 4244–4249.
ICPR-2016-JordaoSS #approach #detection #multi
A late fusion approach to combine multiple pedestrian detectors (AJ, JSdS, WRS), pp. 4250–4255.
ICPR-2016-LiB #3d #problem #robust
Selection of robust features for the Cover Source Mismatch problem in 3D steganalysis (ZL0, AGB), pp. 4256–4261.
ICPR-2016-SunHL #detection #image #using
Context based face spoofing detection using active near-infrared images (XS0, LH0, CL), pp. 4262–4267.
ICPR-2016-Alonso-PerezERS #identification
A foveation technique applied to face de-identification (VAP, REC, JMRC, LES), pp. 4268–4273.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.