Computer vision and Learning lab @ KAIST

Tae-Kyun (T-K) Kim, PhD

Professor

KAIST / Imperial College London



Tae-Kyun (T-K) Kim is a full Professor and the director of Computer Vision and Learning Lab at School of Computing and Kim Jaechul Graduate School of AI, KAIST, since 2020, and is a visiting reader at Imperial College London, UK. He has led Computer Vision and Learning Lab at ICL, since 2010. He obtained his PhD from Univ. of Cambridge in 2008 and Junior Research Fellowship (governing body) of Sidney Sussex College, Univ. of Cambridge during 2007-2010. His BSc and MSc are from KAIST. His research interests primarily lie in machine (deep) learning for 3D computer vision, including: articulated 3D hand pose estimation, face analysis and recognition by image sets and videos, 6D object pose estimation, active robot vision, activity recognition, object detection/tracking, which lead to novel active and interactive visual sensing. He has co-authored over 100 academic papers in top-tier conferences and journals in the field, and has co-organised series of HANDS workshops and 6D Object Pose workshops (in conjunction with CVPR/ICCV/ECCV) since 2015. He was the general chair of BMVC17 in London, and is the program co-chair of BMVC23, Associate Editor of Pattern Recognition Journal, Image and Vision Computing Journal, and IET Computer Vision. He regularly serves as an Area Chair for the major computer vision conferences. He received KUKA best service robotics paper award at ICRA 2014, and 2016 best paper award by the ASCE Journal of Computing in Civil Engineering, and the best paper finalist at CVPR 2020, and his co-authored algorithm for face image retrieval is an international standard of MPEG-7 ISO/IEC.

Affiliated to: School of Computing, AI Graduate school, Robotics Graduate Program, Metaverse Graduate Program @ KAIST, and EEE @ ICL

Research Interests

Machine (Deep) Learning for 3D Computer Vision, Man-Machine Interface, and Robotics

Contact Details

504 N1, School of Computing, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea

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 me an email titled ‘phd/postdoc application’, where you include your CV and indicate the earliest starting date.

Tae-Kyun (T-K) Kim