Tat‐Jen Cham

4.0k citations
86 papers · 2.1k indexed · 1 hit paper · h-index 23

Tat‐Jen Cham

84 papers receiving 2.0k citations

Hit Papers

Exploiting Spatial-Temporal Relationships for 3D Pose Est...3142019202620212023100200300

Peers

Tat‐Jen Cham
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 1.8k
  • Human-Computer Interaction 325
  • Computer Graphics and Computer-Aided Design 114
  • Media Technology 257
  • Artificial Intelligence 369
Replace Esther Koller-Meier with:
Esther Koller-Meier Switzerland
Björn Stenger Japan
Malik United States
Ramakant Nevatia United States
Pietro Zanuttigh Italy
Wei Feng China
Dimitrios Zarpalas Greece
I. Cohen United States
Loong‐Fah Cheong Singapore
Pietro Pala Italy
Tat‐Jen Cham relative to Esther Koller-Meier Switzerland Esther Koller-Meier's profile →
Citations per field
00.5×7.5×
Esther Koller-Meier · 1×
Citations per year

Countries citing papers authored by Tat‐Jen Cham

Since Specialization
Citations

This map shows the geographic impact of Tat‐Jen Cham's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tat‐Jen Cham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tat‐Jen Cham more than expected).

Fields of papers citing papers by Tat‐Jen Cham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tat‐Jen Cham. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tat‐Jen Cham. The network helps show where Tat‐Jen Cham may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tat‐Jen Cham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tat‐Jen Cham Line = papers co-authored together Tat‐Jen Cham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20236
5 20222
6 202267
7 20211
8 202154
9 20188
10 20181
11 201711
12 201514
13 20152
14 201411
15 20131
16
Visual tracking with generative template model based on Riemannian manifold of covariances
20119
17 201047
18 2003171
19
Geometric Saliency of Curve Correspondances and Grouping of Symmetric Comntours
19969
20
Geometric Representation and Grouping of Image Curves
19963

About Tat‐Jen Cham

Tat‐Jen Cham is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (30 papers), Advanced Image and Video Retrieval Techniques (17 papers), Computer Graphics and Visualization Techniques (11 papers), Video Surveillance and Tracking Methods (11 papers), Advanced Optical Imaging Technologies (11 papers), Face recognition and analysis (10 papers), Face and Expression Recognition (9 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Human-Computer Interaction (325 citations) and Computer Graphics and Computer-Aided Design (114 citations). Tat‐Jen Cham has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Jianfei Cai, James M. Rehg, Minh-Tri Pham, Roberto Cipolla, Anran Wang, Jiwen Lu, Chuanxia Zheng, Vladimir Pavlović, Liuhao Ge and Jun Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, IEEE Transactions on Visualization and Computer Graphics, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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