Scholar
Tae-Kyun (T-K) Kim
Google Scholar ID: j2WcLecAAAAJ
KAIST
Citations & Impact
Citations
9,369
H-index
49
i10-index
130
Publications
20
Co-authors
173
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Co-authored over 100 academic papers in top-tier conferences and journals in the field; co-organised series of HANDS workshops and 6D Object Pose workshops (in conjunction with CVPR/ICCV/ECCV) since 2015 to 2020; general chair of BMVC17 in London, program co-chair of BMVC23; Associate Editor of IEEE Trans on PAMI, Pattern Recognition Journal, Image and Vision Computing Journal; regularly serves as an Area Chair for top-tier vision/ML conferences; received KUKA best service robotics paper award at ICRA 2014, 2016 best paper award by the ASCE Journal of Computing in Civil Engineering, and the best paper finalist at CVPR 2020; his co-authored algorithm for face image representation is an international standard of MPEG-7 ISO/IEC.
Research Experience
- Professor and the director of Computer Vision and Learning Lab at School of Computing, KAIST since 2020; led Computer Vision and Learning Lab at Imperial College London during 2010-2020; adjunct reader of Imperial College London (ICL), UK for 2020-2024.
Education
- PhD from the University of Cambridge in 2008; Junior Research Fellowship (governing body) of Sidney Sussex College, University of Cambridge during 2007-2010; BSc and MSc from KAIST in 1998 and 2000 respectively; worked at Samsung AIT for 2000-2004 (military duty).
Background
- His research interests primarily lie in machine (deep) learning for 3D computer vision, generative AI and Physics-based AI, including: articulated 3D hand/body reconstruction, face analysis and recognition, 6D object pose estimation, activity recognition, object detection/tracking, active robot vision, which lead to novel active and interactive visual sensing.
Miscellany
- Affiliated to: School of Computing, Kim Jaechul Graduate School of AI, Robotics Graduate Program, Metaverse Graduate Program @ KAIST; Contact Details: 504 N1, School of Computing, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea; Webpage: https://sites.google.com/view/tkkim/, https://labicvl.github.io; E-mail: kimtaekyun@kaist.ac.kr; Open positions: PhD students and Postdocs in Computer Vision and Machine Learning; We are always looking for strong candidates for PhD and postdoc positions. Topics include (not limited to) 6D object/hand pose estimation, 3D object detection and tracking, GANs, data augmentation, 2D/3D face, deep reinforcement learning, robotics. Applicants should have a first-class degree and a strong track record in CVPR/ICCV/ECCV, NIPS/ICML/ICLR, or PAMI/IJCV/TIP. Candidates who are able to carry highest quality research independently are pursued. If you are interested, please send an email titled ‘phd/postdoc application’, where you include your CV and indicate the earliest starting date.
