D-Index & Metrics Best Publications

Tat-Jen Cham

Nanyang Technological University
Singapore

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 34 Citations 4,349 113 World Ranking 8223 National Ranking 107

Overview

What is he best known for?

The fields of study Tat-Jen Cham is best known for:

Facial recognition system
Computer vision
Machine learning

Quantum mechanics is intertwined with Asymmetry and Local symmetry in his research. His study in Quantum mechanics extends to Asymmetry with its themes. In his papers, Tat-Jen Cham integrates diverse fields, such as Computer vision and Speech recognition. Tat-Jen Cham integrates several fields in his works, including Speech recognition and Deep learning. He performs integrative Deep learning and Feature extraction research in his work. Many of his studies on Feature extraction apply to Cognitive neuroscience of visual object recognition as well. The study of Artificial intelligence is intertwined with the study of Preprocessor in a number of ways. His Preprocessor study frequently draws connections to adjacent fields such as Computer vision. In his works, Tat-Jen Cham performs multidisciplinary study on Geometry and Curvature.

His most cited work include:

Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition (128 citations)
T$$^2$$Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks (71 citations)
Symmetry detection through local skewed symmetries (54 citations)

What are the main themes of his work throughout his whole career to date

Tat-Jen Cham is involved in relevant fields of research such as Feature (linguistics) and Regularization (linguistics) in the field of Linguistics. His research on Feature (linguistics) frequently connects to adjacent areas such as Linguistics. His study ties his expertise on Motion (physics) together with the subject of Artificial intelligence. In his papers, Tat-Jen Cham integrates diverse fields, such as Computer vision and Artificial neural network. By researching both Artificial neural network and Artificial intelligence, he produces research that crosses academic boundaries. Tat-Jen Cham combines topics linked to Facial recognition system with his work on Pattern recognition (psychology). Facial recognition system and Pattern recognition (psychology) are commonly linked in his work. His Image (mathematics) study frequently draws connections to other fields, such as Computer vision. His Affine transformation research extends to Geometry, which is thematically connected.

Tat-Jen Cham most often published in these fields:

Artificial intelligence (95.83%)
Computer vision (70.83%)
Pattern recognition (psychology) (62.50%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A multiple hypothesis approach to figure tracking

Tat-Jen Cham;J.M. Rehg.
computer vision and pattern recognition (1999)

533 Citations

A dynamic Bayesian network approach to figure tracking using learned dynamic models

V. Pavlovic;J.M. Rehg;Tat-Jen Cham;K.P. Murphy.
international conference on computer vision (1999)

375 Citations

Pluralistic Image Completion

Chuanxia Zheng;Tat-Jen Cham;Jianfei Cai.
computer vision and pattern recognition (2019)

241 Citations

Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

Yujun Cai;Liuhao Ge;Jun Liu;Jianfei Cai.
international conference on computer vision (2019)

181 Citations

Fast training and selection of Haar features using statistics in boosting-based face detection

Minh-Tri Pham;Tat-Jen Cham.
international conference on computer vision (2007)

175 Citations

Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition

Anran Wang;Jiwen Lu;Jianfei Cai;Tat-Jen Cham.
IEEE Transactions on Multimedia (2015)

170 Citations

Wireless multi-user multi-projector presentation system

Rahul Sukthankar;Tat-Jen Cham;Gita R. Sukthankar;James M. Rehg.
(2001)

128 Citations

Method for efficiently tracking object models in video sequences via dynamic ordering of features

Tat-Jen Cham;James Matthew Rehg.
(2000)

119 Citations

Dynamic shadow elimination for multi-projector displays

R. Sukthankar;Tat-Jen Cham;G. Sukthankar.
computer vision and pattern recognition (2001)

106 Citations

T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks

Chuanxia Zheng;Tat Jen Cham;Jianfei Cai.
european conference on computer vision (2018)

104 Citations

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Tat-Jen Cham

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Tat-Jen Cham is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Tat-Jen Cham most often published in these fields:

Best Publications

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