CHAM, Tat Jen
BA PhD Cambridge

School of Computer Science & Engineering
Nanyang Technological University Singapore  


Biographical Sketch 

Tat-Jen is an Associate Professor in the School of Computer Science & Engineering, Nanyang Technological University. He received his BA in Engineering in 1993 and his PhD in 1996, both from the University of Cambridge. Tat-Jen was subsequently conferred a Jesus College Research Fellowship in Science in 1996-97. From 1998 to 2001, he was a research scientist at DEC/Compaq Research Lab in Cambridge, MA, USA. After joining NTU in 2002, he was concurrently a Faculty Fellow in the Singapore-MIT Alliance Computer Science Program in 2003-2006. Tat-Jen has also served a number of terms on the NTU Senate.

In research, Tat-Jen received overall best paper prizes at PROCAMS’05, BMVC’94, and in particular at ECCV'96. Tat-Jen is an inventor on eight patents. He is currently a PI and Fellow of the Rehabilitation Research Institute of Singapore (RRIS), and a PI in the Singtel Cognitive & AI Lab (SCALE@NTU). Previous roles held include being the Director for the Centre for Multimedia & Network Technology (CeMNet) and an affiliate faculty with the Singapore-ETH Centre’s Future Cities Lab. He was also a founding Principal Investigator in the NRF BeingThere Centre (BTC) on 3D Telepresence, a collaboration between NTU, UNC at Chapel Hill and ETH Zurich, which later evolved into the BeingTogether Centre.

Tat-Jen is an Area Chair for CVPR'22 and ICCV'21, and has served as an editorial board member for the International Journal of Computer Vision (IJCV), a General Chair for ACCV’14, an Area Chair for ECCV'20, ICCV’19, ICCV'09, ACCV’07, ICCV’05 and ACCV’06, Associate Editor for IJIG and IPSJ-CVA, a Program Chair for MMM’07, and a co-founder for the PROCAMS workshop series in 2003. Nationally, he has been on various review panels for A*STAR and the National Research Foundation (NRF).

Tat-Jen’s research interests are broadly in computer vision and machine learning, with a current focus on deep learning methods that can exploit semantic and contextual cues. One major thrust is in scene understanding, in particular focusing on high-fidelity 3D reconstruction and decomposition of indoor environments which involves hidden shape prediction / amodal segmentation and scene inpainting / completion, in order to overcome severe clutter and occlusion under limited sensor coverage. Another major thrust is in 3D human analysis, covering diverse topics ranging from face reconstruction and relighting, hand and body pose estimation, to human motion analysis, prediction and ability modeling. Tat-Jen's previous work includes image-based localization in urban environments and projector-camera systems that can turn surfaces into ubiquitous interactive displays.

Primary and Concurrent Appointments

  • 2001-, Associate Professor, School of Computer Science & Engineering, NTU
  • 2020-, Fellow and Principal Investigator, Rehabilitation Research Institute of Singapore (RRIS)
  • 2019-, Principal Investigator, Singtel Cognitive and Artificial Intelligence Lab (SCALE@NTU)
  • 2015-, Research Lead, Computer Vision & Language Group, Media & Interactive Computing Lab
  • 2010-2021, Principal Investigator, NRF BeingTogether Centre (BTC) [2010-2015 BeingThere Centre]
  • 2010-14, 2018-20, Senator, NTU Senate
  • 2007-15, Director, Centre for Multimedia & Network Technology (CeMNet)
  • 2003-06, Singapore-MIT Alliance Fellow in Computer Science
  • 2002-16, Reserve national service, infantry / civil-military relations officer, Singapore Armed Forces
  • 1998-2001, Research Scientist, DEC / Compaq Cambridge Research Laboratory, Cambridge MA, USA
  • 1996-97, Jesus College Research Fellow in Science, University of Cambridge, England
  • 1987-90, Full-time national service: infantry / logistics officer, Singapore Armed Forces


  • 1994-96, Ph.D degree, St Catharine's College, University of Cambridge, England
  • 1990-93, B.A. degree in Engineering, triple first-class honours, St Catharine's College, University of Cambridge, England

Research Awards

  • 2014, MMSP Top 10% Paper Award
  • 2007 (with PhD student Minh-Tri Pham), PREMIA 2nd Best Student Paper Prize for ICCV'07 paper
  • 2005, Best Paper Award, IEEE International Workshop on Projector-Camera Systems (PROCAMS)
  • 1996, Best Paper Prize, European Conference on Computer Vision (ECCV)
  • 1994, Best Science Paper Prize, British Machine Vision Conference (BMVC)

Selected Research Services

  • Area Chair, Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 2022
  • Area Chair, International Conference on Computer Vision (ICCV), Montreal, Canada, 2021
  • Member, Posters & Technical Communications Committee, SIGGRAPH Asia, Tokyo, Japan, 2021
  • Area Chair, European Conference on Computer Vision (ECCV), Glasgow, Scotland, 2020
  • Area Chair, International Conference on Computer Vision (ICCV), Seoul, Korea, 2019
  • Member of Editorial Board, International Journal of Computer Vision (IJCV), Kluwer publishers, 2004-2015
  • General Chair, Asian Conference on Computer Vision (ACCV), Singapore, 2014
  • Area Chair, International Conference on Computer Vision (ICCV), Kyoto, Japan, 2009
  • Area Chair, Asian Conference on Computer Vision (ACCV), Tokyo, Japan, 2007
  • Area Chair, Asian Conference on Computer Vision (ACCV), Hyderabad, India, 2006
  • Area Chair, International Conference on Computer Vision (ICCV), Beijing, China, 2005
  • Associate Editor, International Journal of Image and Graphics (IJIG), World Scientific, 2005
  • Associate Editor, IPSJ Transactions on Computer Vision and Applications (CVA), 2008
  • Program Committee Member, CVPR, ECCV, ICCV, ACCV, BMVC, etc., 2000-

Academic Awards and Scholarships

  • 1994-96, UK Overseas Research Scholarship; Cambridge Commonwealth Trust Bursary; St Catharine's College Research Scholarship (all awarded concurrently)
  • 1993, Alexandria Prize; St Catharine's College Senior Scholarship
  • 1991, Engineering Members' Prize
  • 1990-94, Loke Cheng-Kim Foundation Scholarship

Miscellaneous Notables

  • 2010, World's fastest software-based face detector, released by PhD student Minh-Tri Pham. Ran 3-4 times faster than the OpenCV implementation. Available here.
  • Jointly-taught SMA graduate module resulted in game-related student projects that received substantial media coverage from Channel News Asia, Lianhe Zaobao and Tamil Murasu, 2004.