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Tae-Kyun Kim

Associate Professor

Research Area
Visual Computing, AI-Information Service
Major
Computer Vision, Machine Learning
Education
PhD, University of Cambridge, 2008
Website
https://sites.google.com/view/tkkim/
E-mail
Phone
3583
Office
N1, 504
Lab
Computer Vision and Learning Lab

Tae-Kyun (T-K) Kim is an Associate Professor and the director of Computer Vision and Learning Lab at the KAIST School of Computing. Prior to joining KAIST, he had been an Associate Professor of Imperial College London from 2010 to 2020. He obtained his PhD from Univ. of Cambridge in 2008 and Junior Research Fellowship (governing body) of Sidney Sussex College, Univ. of Cambridge for 2007-2010. His research interests primarily lie in tree-structured machine learning, on top of randomized forests and convolutional neural networks, for 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 80 academic papers in top-tier conferences and journals in the field and has co-organized HANDS workshops (in conjunction with CVPR15/CVPR16/ICCV17/ECCV18), and Object Pose workshops (in conjunction with ICCV15/ECCV16/ICCV17/ECCV18). He is the general chair of BMVC17 in London and is Associate Editor of Image and Vision Computing Journal, and IPSJ Trans. on Computer Vision and Applications. 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 his co-authored algorithm for face image retrieval is an international standard of MPEG-7 ISO/IEC.

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