Travelled to:
1 × Japan
1 × Sweden
1 × Turkey
1 × USA
2 × China
Collaborated with:
T.Tan J.Zhang Z.Zhang Y.Cai Y.Wang M.Li X.Zhao P.Yang K.Liu Z.Zhang Y.Cheng W.Ren Y.Yu C.Wang M.Pietikäinen Z.Liu L.Wang D.Tan S.Yu P.Liu H.Hao Y.Huang
Talks about:
base (7) recognit (4) object (4) surveil (3) local (3) learn (3) supervis (2) gradient (2) classif (2) window (2)
Person: Kaiqi Huang
DBLP: Huang:Kaiqi
Contributed to:
Wrote 14 papers:
- ICPR-2014-ChengZHT #learning #recognition
- Semi-supervised Learning for RGB-D Object Recognition (YC, XZ, KH, TT), pp. 2377–2382.
- ICPR-2014-LiuYHTH #learning #recognition #visual notation
- Semi-supervised Learning for Cross-Device Visual Location Recognition (PL, PY, KH, TT, HWH), pp. 2873–2878.
- ICPR-2014-LiuZH #energy #graph #optimisation
- Improved Optimization Based on Graph Cuts for Discrete Energy Minimization (KL, JZ, KH), pp. 2424–2429.
- ICPR-2014-RenYZH #classification #image #learning #nearest neighbour
- Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification (WR, YY, JZ, KH), pp. 4358–4363.
- ICPR-2014-WangZYH #feedback #recognition #robust #visual notation
- Robust Object Recognition via Visual Pathway Feedback (CW, JZ, PY, KH), pp. 604–607.
- ICPR-2012-ZhangZHHT #detection #mining #semantics
- Semantic windows mining in sliding window based object detection (JZ, XZ, YH, KH, TT), pp. 3264–3267.
- ICPR-2010-CaiHTP #multi
- Recovering the Topology of Multiple Cameras by Finding Continuous Paths in a Trellis (YC, KH, TT, MP), pp. 3541–3544.
- ICPR-2010-ZhangHTW #3d #evaluation #framework #modelling #using
- 3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework (ZZ, KH, TT, YW), pp. 1771–1774.
- ICPR-2008-ZhangLHT #automation #classification
- Boosting local feature descriptors for automatic objects classification in traffic scene surveillance (ZZ, ML, KH, TT), pp. 1–4.
- ICPR-2008-ZhangLHT08a #3d #evaluation #locality #modelling #optimisation
- 3D model based vehicle localization by optimizing local gradient based fitness evaluation (ZZ, ML, KH, TT), pp. 1–4.
- ICPR-v1-2006-CaiHTW #image
- Context Enhancement of Nighttime Surveillance by Image Fusion (YC, KH, TT, YW), pp. 980–983.
- ICPR-v1-2006-LiuHTW #component
- Cast Shadow Removal with GMM for Surface Reflectance Component (ZL, KH, TT, LW), pp. 727–730.
- ICPR-v3-2006-TanHYT #performance #recognition
- Efficient Night Gait Recognition Based on Template Matching (DT, KH, SY, TT), pp. 1000–1003.
- ICPR-v3-2006-ZhangHT #clustering #comparison #metric #similarity
- Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes (ZZ, KH, TT), pp. 1135–1138.