Travelled to:1 × Australia
1 × Austria
1 × Japan
1 × Spain
2 × Canada
2 × China
2 × United Kingdom
Collaborated with:S.K.Zhou C.Shekhar Q.Zheng A.Sundaresan N.Vaswani V.Parameswaran D.Ayers Y.Ran G.Aggarwal A.K.R.Chowdhury H.Liu A.Rosenfeld G.Qian V.Govindu J.Zheng M.Liu P.J.Phillips H.Liu T.Hong M.Herman
Talks about:recognit (5) approach (3) analysi (3) use (3) probabilist (2) multipl (2) video (2) space (2) model (2) human (2)
Person: Rama Chellappa
DBLP: Chellappa:Rama
Contributed to:
2012200620062004200420022002200019981996Wrote 14 papers:
- ICPR-2012-Zheng0CP #adaptation #approach
- A Grassmann manifold-based domain adaptation approach (JZ, MYL, RC, PJP), pp. 2095–2099.
- ICPR-v2-2006-SundaresanC #modelling #probability #segmentation
- Segmentation and Probabilistic Registration of Articulated Body Models (AS, RC), pp. 92–96.
- ICPR-v4-2006-RanCZ
- Finding Gait in Space and Time (YR, RC, QZ), pp. 586–589.
- ICPR-v1-2004-VaswaniC #analysis #classification #component #null #probability
- Classification Probability Analysis of Principal Component Null Space Analysis (NV, RC), pp. 240–243.
- ICPR-v4-2004-AggarwalCC #approach #identification #recognition
- A System Identification Approach for Video-based Face Recognition (GA, AKRC, RC), pp. 175–178.
- ICPR-v4-2004-ZhouC #analysis #multi #recognition
- Multiple-Exemplar Discriminant Analysis for Face Recognition (SKZ, RC), pp. 191–194.
- ICPR-v1-2002-LiuCR #adaptation #estimation #parametricity #using
- Accurate Dense Optical Flow Estimation Using Adaptive Structure Tensors and a Parametric Model (HL, RC, AR), pp. 291–294.
- ICPR-v1-2002-ParameswaranC #invariant #recognition #representation
- Quasi-Invariants for Human Action Representation and Recognition (VP, RC), pp. 307–310.
- ICPR-v1-2002-ZhouC #algorithm #probability #recognition #robust
- A Robust Algorithm for Probabilistic Human Recognition From (SKZ, RC), pp. 226–229.
- ICPR-v3-2002-QianCZ #approach #estimation #independence #multi
- A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects (GQ, RC, QZ), p. 309–?.
- ICPR-v1-2000-AyersC #network #recognition #using #video
- Scenario Recognition from Video Using a Hierarchy of Dynamic Belief Networks (DA, RC), pp. 1835–1838.
- ICPR-1998-0002C #comparison #evaluation
- Experimental evaluation of two criteria for pattern comparison and alignment (CS, RC), pp. 146–153.
- ICPR-1998-Govindu0C #geometry #image #using
- Using geometric properties for correspondence-less image alignment (VG, CS, RC), pp. 37–41.
- ICPR-1996-LiuHHC #image #visual notation
- Image gradient evolution-a visual cue for collision avoidance (HL, THH, MH, RC), pp. 446–450.