Tae-Kyun (T-K) Kim, PhD

Associate Professor (Senior Lecturer)

1017, Department of Electrical and Electronic Engineering

Imperial College London, South Kensington Campus

London, SW7 2AZ, UK

Webpage: https://labicvl.github.io

E-mail: tk.kim@imperial.ac.uk

T-K Kim is an Associate Professor and the director of Computer Vision and Learning Lab at Imperial College London, UK, since Nov 2010. 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-organised 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.

Research Interests:

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

Grants/Awards:

We are grateful for our sponsors including Huawei, Samsung Software R&D Center, Microsoft Azure Research Award, EPSRC program grant (FACER2VM), OMRON, Agile Sports Technologies Inc., Samsung Global Research Outreach (GRO) program, Samsung Advanced Institute of Technology, European Commission FP7 grant, EPSRC first grant.

Professional Activities and Talks:

2018| Area chair of British Machine Vision Conference (BMVC), Newcastle, UK

2018| Advisory board of British Machine Vision Conference (BMVC), Newcastle, UK

2018| Area chair of Asian Conference on Computer Vision (ACCV), Perth, Australia

Sep 2018| Keynote, ECCV Workshop on Assistive Computer Vision and Robotics (ACVR), Munich, Germany

Sep 2018| General co-chair of IEEE 4th workshop on observing and understanding hands in action (HANDS), (in conjunction with ECCV), Munich, Germany

Sep 2018| Co-organiser of IEEE 4th workshop on recovering 6D object pose, (in conjunction with ECCV), Munich, Germany

Jul 2018| Invited lecture, BMVA computer vision summer school, University of East Anglia, Norwich, UK

Jul 2018| Invited talk, Korean Conf. on Computer Vision, Sungkyunkwan University, Seoul, Korea

Jul 2018| Invited talk, Korea Institute of Science and Technology, Seoul, Korea

Feb 2018| Invited talk, SNU-ICL AI and IT Research Workshop, Seoul National University, Korea

2018| PhD thesis examination for Anil Armagan, TU Graz, Austria


Nov 2017| Invited talk at Samsung R&D Institute, UK

2017| Guest editor of Int. Journal of Computer Vision (IJCV), special issue on Deep Learning for Face Analysis

2017| Guest editor of Int. Journal of Computer Vision (IJCV), special issue for BMVC17 Best Papers

Oct 2017| General co-chair of IEEE 3rd workshop on observing and understanding hands in action (HANDS) and the 2017 Hands in the Million Challenge, (in conjunction with ICCV), Venice, Italy

Oct 2017| General co-chair of IEEE 3rd workshop on recovering 6D object pose and SIXD Challenge, (in conjunction with ICCV), Venice, Italy

Oct 2017| Invited talk at Samsung AI Forum, Samsung Software R&D Center, Seoul, Korea

Oct 2017| Invited talk at EPSRC joint workshop on deep learning, Univ. of Oxford, UK

Oct 2017| Co-organiser of Launch Event of Machine Learning Initiative at Imperial College, ICL, UK

Sep 2017| Invited talk/panelist at Samsung Global AI Forum, Samsung 837, New York, USA

Sep 2017| General chair of BMVC17 in London, UK

2017-| Core member of Imperial Machine Learning Initiative

Jul 2017| Invited lecture, BMVA computer vision summer school, Lincoln, UK

Oct 2016| General co-chair of 2nd Int. workshop on recovering 6D object pose (in conjunction with ECCV), Amsterdam, Netherlands

Sep 2016| Invited talk at Deep learning summit, London, UK

Jul 2016| Invited talk at Korean Conf. on Computer Vision, Ewha Womans University, Seoul, Korea

Jul 2016| Invited talk at Samsung Advanced Institute of Technology, Suwon, Korea

Jul 2016| Invited lecture/lab, BMVA computer vision summer school, Swansea, UK

2016-2018| Executive committee member of BMVA (British Machine Vision Association)

2016-2018| Associate Editor of (Elsevier) Image and Vision Computing Journal

2016| Guest Editor of (Elsevier) Pattern Recognition Letters Special Issue on Personalised and Context-sensitive Interfaces in the Wild

2016-2018| Associate Editor of (Springer) IPSJ Transactions on Computer Vision and Applications (CVA)

2016-| Member of EPSRC Associate Peer Review College

Jun 2016| General co-chair of IEEE 2nd workshop on observing and understanding hands in action (HANDS, in conjunction with CVPR), Las Vegas, USA

Jun 2016| Investigator talk at EPSRC program grant kick-off meeting, Guildford, UK

May 2016| Outreach activities: Hand Pose Estimation demo at Imperial College Science Festival, ICL, UK

Feb 2016| Keynote at Korea-Japan joint workshop on Frontiers of Computer Vision, Takayama, Japan

Feb 2016| Invited talk at Department of Computer Science and Engineering, Korea university, Korea

Feb 2016| Invited talk at Department of Computer Science and Engineering, POSTECH, Korea

Feb 2016| Invited talk at ISN group seminar on machine learning and applications, ICL, UK

2016| PhD thesis examination for Robert Palmer, Swansea University, UK

2016| PhD thesis examination for Ismael Serrano Gracia, University of Castilla-La Mancha, Spain

2016| PhD thesis examination for Christos Sagonas, Computing, ICL, UK

Dec 2015| General co-chair of IEEE ICCV 2015 Workshop on recovering 6D object pose, Santiago, Chile

Dec 2015| Organiser talk at IEEE ICCV Workshop on recovering 6D object pose, Santiago, Chile

Sep 2015| Invited talk at Imperial Robotics Forum showcase, ICL, UK

Aug 2015| Invited talk at Korean Conf. on Computer Vision, Seoul, Korea

Aug 2015| Invited talk at Automatic and Systems Research Institute, Seoul National University, Korea

Aug 2015| Invited talk at Graduate School of Culture Technology, KAIST, Korea

Jul 2015| Invited talk at Computer Laboratory, University of Cambridge, UK

Jul 2015| Invited lecture/lab, BMVA computer vision summer school, Swansea, UK

Jul 2015| (fully day) Invited lecture/practical session at visum (VISion Understanding and Machine intelligence) summer school, Porto, Portugal

Jun 2015| General co-chair of IEEE CVPR 2015 Workshop on observing and understanding hands in action (HANDS 2015), Boston, USA

May 2015| Keynote at BMVA symposium on Vision for human-computer interaction and virtual reality systems, London, UK

May 2015| Outreach activities: 6 DoF object detection demo at Imperial College Science Festival, and invited talk at Pint of Science (charity Science Festival)

Apr 2015| Invited talk at Department of Engineering Science, University of Oxford, UK

2015| PhD thesis examination for Zhenhua Feng, University of Surrey, UK

2015| PhD thesis examination for Xiatian (Eddy) Zhu, Queen Mary University of London, UK

2015| PhD thesis examination for María del Milagro Fernández Carrobles, University of Castilla-La Mancha, Spain

2015| PhD thesis examination for Yi Yao, University of Warwick, UK

Jul 2014| Invited lecture/lab, BMVA computer vision summer school, Swansea, UK

2014| PhD thesis examination for Stephan Liwicki, Dept of Computing, Imperial College, UK

2013-| Grant proposal reviewer, for EPSRC/MRC/Leverhulme, UK

May 2013| Invited tutorial at IAPR Int. Conf. on Machine Vision Application, Kyoto, Japan

May 2013| Invited talk, Kyoto University, Japan

2013| PhD thesis examination for Ankur Handa, Dept of Computing, Imperial College, UK

2013| BK MOU with Seoul National University, Korea

Aug 2012| Invited tutorial at Int. Symposium on Ubiquitous Virtual Reality, KAIST, Korea

Jul 2012| Invited talk, Seminar Series, Robotics Research Group, University of Oxford, UK

Mar 2012| Keynote at Microsoft New Faculty Summit – Computer Vision, Microsoft Research, Cambridge, UK

Feb 2012| Invited talk, Seminar Series, School of Engineering, Cranfield University, UK

2012| PhD thesis examination for Mohammad Rouhani, UAB, Spain

2012| Partnership with University of Catania, Italy

2010-2013| Editorial board of (Oxford Journals) The Computer Journal

Aug 2010| Invited talk, Department of EEE, Imperial College London, UK

Jul 2010| Invited talk, Department of EECS, KAIST, Korea

May 2010| Guest lecture at Engineering Part IB - Information Engineering Option, Univ. of Cambridge, UK

Oct 2009| Invited talk, Seminar series on intelligent systems, Univ. of Bristol, UK

Oct 2009| Tutorial on Boosting and Random Forests for Visual Recognition, ICCV, Kyoto, Japan

Jul 2009| Invited talk, Human sensing lab, CMU, Pittsburgh, USA

Jul 2009| Invited lecture at Int. Computer Vision Summer School (ICVSS), Sicily, Italy

Dec 2008| Invited talk, Robotics research lab, KAIST, Korea

Dec 2008| Invited talk, Computer vision lab and U-VR lab, GIST, Korea

Dec 2008| Invited talk, Graduate school of advanced image science, multimedia and film, Chung-Ang University, Korea

Jul 2008| Invited talk, Center for Vision, Speech and Signal Processing, Univ. of Surrey, UK

Jul 2008| Invited talk, Toyota Motor Europe, Brussels, Belgium

2008| Consultancy for Oxford Metrics Group Plc, Oxford, UK

2008| Consultancy for Toshiba Research Europe, Cambridge, UK

Regular conference program committee of ECCV/ICCV/CVPR/BMVC and journal reviewer of TPAMI/IJCV/TIP

IEEE member, BMVA member, CVF member, Imperial Robotics Forum member, Fellow of Sydney Sussex College (Univ. of Cambridge), Engineering Processors’ Council (EPC) member in UK

Teaching:

2018-current| Selected Topics in Computer Vision

2016-current| Pattern Recognition

2011-2018| Machine Learning for Computer Vision

2011-current| Tutor for Year 2 - Linear systems, Signals, Control, Communication, Digital Electronics

2010-current| Supervisor of MEng and MSc thesis projects

2011-2013| Analysis of Circuits (problem solving class)

2011-2015| Lab demonstrator - Matlab/Phyton, Microcontroller, Linear Signal Processing

Publications:

2018

W. Luo, B. Stenger, X. Zhao, T-K. Kim, Super-pixel and Deformable Part Model Based Multi-object Tracking by Automatic Topic Discovery, IEEE Trans on Image Processing (TIP), accepted to appear, 2018.

X. Chen, G. Wang, C. Zhang, T-K. Kim, X. Ji, SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds, IEEE Access, accepted to appear, 2018.

Q. Ye, T-K. Kim, Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network, Proc. of European Conf. on Computer Vision (ECCV), Munich, Germany, 2018 (oral).

B. Gecer, B. Bhattarai, J. Kittler, T-K. Kim, Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model, Proc. of European Conf. on Computer Vision (ECCV), Munich, Germany, 2018.

T. Hodan, F. Michel, E. Brachmann, W. Kehl, A. Buch, D. Kraft, B. Drost, J. Vidal, S. Ihrke, X. Zabulis, C. Sahin, F. Manhardt, F. Tombari, T-K. Kim, J. Matas, C. Rother, BOP: Benchmark for 6D Object Pose Estimation, Proc. of European Conf. on Computer Vision (ECCV), Munich, Germany, 2018.

C. Sahin, T-K. Kim, Recovering 6D Object Pose: A Review and Multi-modal Analysis, ECCV workshop on Assistive Computer Vision and Robotics (ACVR), Munich, Germany, Sep 2018.

C. Sahin, T-K. Kim, Category-level 6D Object Pose Recovery in Depth Images, ECCV workshop on Recovering 6D Object Pose, Munich, Germany, Sep 2018.

D. Antotsiou, G. Garcia-Hernando, T-K Kim, Task Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation, ECCV workshop on Observing and Understanding Hands in Action (HANDS), Munich, Germany, Sep 2018.

J. Sock, K.I. Kim, C. Sahin, T-K. Kim, Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios, Proc. of British Machine Vision Conference (BMVC), Newcastle upon Tyne, UK, 2018.

D. Tang, Q. Ye, S. Yuan, J. Taylor, P. Kohli, C. Keskin, T-K. Kim, J. Shotton, Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose, IEEE Trans on PAMI (TPAMI), accepted to appear, 2018.

S. Baek, K.I. Kim, T-K. Kim, Augmented skeleton space transfer for depth-based hand pose estimation, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (oral, accept rate=2.1%).

S. Yuan, G. Garcia-Hernando, B. Stenger, G. Moon, J. Y. Chang, K. M. Lee, P. Molchanov, J. Kautz, S. Honari, L. Ge, J. Yuan, X. Chen, G. Wang, F. Yang, K. Akiyama, Y. Wu, Q. Wan, M. Madadi, S. Escalera, S. Li, D. Lee, I. Oikonomidis, A. Argyros, T-K. Kim, 3D Hand Pose Estimation: From Current Achievements to Future Goals, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (spotlight).

G. Garcia-Hernando, S. Yuan, S. Baek, T-K. Kim, First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018.

S. Kasaei, J. Sock, L. Lopes, A. Tome, T-K. Kim, Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots, Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), New Orleans, USA, 2018 (oral).

Y. Pei, Y. Yi, G. Ma, T-K. Kim, T. Xu, and H. Zha, Finding Spatially-Consistent Supervoxel Correspondence of Cone-Beam Computed Tomography Images, IEEE Trans. on Medical Imaging, accepted to appear, 2018.


2017

V. Balntas, A. Doumanoglou, C. Sahin, J. Sock, R. Kouskouridas, T-K. Kim, Pose guided RGBD embedding learning for object pose estimation, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Venice, Italy, 2017.

B. Gecer, V. Balntas, and T-K. Kim, Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-based Supervision, Proc. of IEEE ICCV workshop on Analysis and Modeling of Faces and Gestures (AMFG), Venice, Italy, 2017.

J. Sock, S. Kasaei, L. Lopes, T.-K. Kim, Multi-view 6D Object Pose Estimation and Camera Motion Planning using RGBD Images, Proc. of IEEE ICCV 3rd workshop on Recovering 6D Object Pose, Venice, Italy, 2017.

S. Baek, Z. Shi, M. Kawade, T-K. Kim, Kinematic-layout-aware random forests for depth-based action recognition, Proc. of British Machine Vision Conference (BMVC), London, UK, 2017 (oral, accept rate = 5.6%).

G. Garcia-Hernando, T-K. Kim, Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017.

Z. Shi, T-K. Kim, Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017.

S. Yuan, Q. Ye, B. Stenger, S. Jain, T-K. Kim, Big Hand 2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017.

C. Sahin, R. Kouskouridas, T-K. Kim, A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth Images, Journal of Image and Vision Computing (IVC), 63:38-50, 2017.

C. Tsiotsios, A.J. Davison, T-K. Kim, Near-lighting Photometric Stereo for unknown scene distance and medium attenuation, Journal of Image and Vision Computing (IVC), 57:44-57, 2017.

Y. Liu, M. Hoai, M. Shao, T-K. Kim, Latent Bi-constraint SVM for Video-based Object Recognition, IEEE Trans. on Circuit and System for Video Technology (TCSVT), accepted to appear, 2017.

S. Baek, K.I. Kim, T-K. Kim, Real-time online action detection forests using spatio-temporal contexts, Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, USA, 2017.

I. Serrano, G. Garcia-Hernando, O. Deniz, G. Bueno and T-K. Kim, Spatio-Temporal Elastic Cuboid Trajectories for Efficient Fight Recognition Using Hough Forests, Journal of Machine Vision Application, accepted to appear, 2017.

2016

D. Tang, H.J. Chang, A. Tejani, T-K. Kim, Latent Regression Forest: Structural Estimation of 3D Articulated Hand Posture, IEEE Trans on PAMI (TPAMI), accepted to appear, 2016.

R. Kouskouridas, A. Tejani, A. Doumanoglou, D. Tang, T-K. Kim, Latent-Class Hough Forests for 6 DoF Object Pose Estimation, IEEE Trans on PAMI (TPAMI), accepted to appear, 2016.

A.Doumanoglou, R. Kouskouridas, S. Malassiotis, T-K. Kim, 6D Object Detection and Next-Best-View Prediction in the Crowd, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016.

Q. Ye, S. Yuan, T-K. Kim, Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation, Proc. of European Conf. on Computer Vision (ECCV), Amsterdam, Netherlands, 2016.

A. Doumanoglou, J. Stria, I. Mariolis, A. Kargakos, V. Petrik, L. Wagner, T-K. Kim, V. Hlavac, S. Malassiotis, Folding Clothes Autonomously: A Complete Pipeline, IEEE Trans. on Robotics (TRO), 32 (6):1461-1478, 2016.

H.J. Chang, G. Garcia-Hernando, D. Tang, T-K Kim, Spatio-Temporal Hough Forest for Efficient Detection-Localisation-Recognition of Fingerwriting in Egocentric Camera, Journal of Computer Vision and Image Understanding (CVIU), 148: 87-96, 2016.

C. Tsiotsios, T.K. Kim, A.J. Davison, S.G. Narasimhan, Model Effectiveness Prediction and System Adaptation for Photometric Stereo in Murky Water, Journal of Computer Vision and Image Understanding (CVIU), 150:126-138, 2016.

G. Garcia-Hernando, H.J. Chang, I. Serrano, O. Deniz, T-K. Kim, Transition Hough Forest for Trajectory-based Action Recognition, IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, USA, 2016.

C. Sahin, R. Kouskouridas, T-K. Kim, Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016.

Y. Jang, I. Jeon, T-K. Kim, W. Woo, SD Gesture: Static and Dynamic Gesture Estimation for Manipulating a Function-Equipped AR Object, IEEE Trans. on Human-Machine Systems, accepted to appear, 2016 (also received the best poster award at IEEE CVPR workshop on HANDS 2016).

Y. Jang, I. Jeon, T-K. Kim, W. Woo, Symbolic Hand Gesture Interface in Wearable AR, Asia-Pacific Workshop on Mixed Reality (APMR), Andong, Korea, Apr 2016 (best presentation award).

2015

D. Tang, J. Taylor, P. Kohli, C. Keskin, T-K. Kim, J. Shotton, Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Santiago, Chile, 2015 (oral).

C. Xiong, X. Zhao, D. Tang, S. Yan, T-K. Kim, Conditional Convolutional Neural Network for Modality-aware Face Recognition, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Santiago, Chile, 2015.

W. Luo, B. Stenger, X. Zhao, T-K. Kim, Automatic Topic Discovery for Multi-object Tracking, Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), Austin Texas, USA, 2015 (oral).

K. Lee, D. Ognibene, H. Chang, T-K. Kim, Y. Demiris, STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection, IEEE Trans. on Image Processing (TIP), 24(12):5916-5927, 2015.

Y. Jang, S. Noh, H. Chang, T-K. Kim, W. Woo, 3D Finger CAPE: Clicking Action and Position Estimation under Self-Occlusions in Egocentric Viewpoint, Proc. of IEEE Virtual Reality (VR), Arles, France, 2015 (full paper, accept rate=13.8% (13/94), also in IEEE Trans. on Visualization and Computer Graphics, 21(4):501-510, 2015).

C. Xiong, L. Liu, X. Zhao, S. Yan, T-K. Kim, Convolutional Fusion Network for Face Verification in the Wild, IEEE Trans. on Circuits and Systems for Video Technology, 26(3):517-528, 2016.

O. Deniz, I. Serrano, G. Bueno and T-K. Kim, Fast Fight Detection, PLOS ONE, 10(4), 2015.

K. Chaiyasarn, T-K. Kim, F. Viola, R. Cipolla, K. Soga, Towards distortion-free image mosaicing for tunnel inspection based on robust cylindrical surface estimation via structure from motion, ASCE's Journal of Computing in Civil Engineering, 2015 (2016 Best Paper Award by the ASCE Journal of Computing in Civil Engineering).

M. Shao, D. Tang, Y. Liu, T-K. Kim, A Comparative Study of Video-based Object Recognition in Egocentric View, Journal of Neurocomputing, 171:982-990, 2016.

Y. Liu, R. Kouskouridas, T-K. Kim, Video-based Object Recognition with Weekly Supervised Object Localisation, Asian Conf. on Pattern Recognition, Kuala Lumpur, Malaysia, Nov 2015.

M. Hameed, G. Garcia, and T-K. Kim, Novel Spatio-temporal Features for Fingertip Writing Recognition in Egocentric Viewpoint, Prof. of IAPR Conf. on Machine Vision Applications (MVA), Tokyo, Japan, May 2015.

W. Luo, X. Zhao, T-K. Kim, Multiple Object Tracking: A Review, arXiv:1409.7618.

W. Hoo, T-K. Kim, Y. Pei, C. Chan, Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding, arXiv:1410.3752.


2014

A. Doumanoglou, A. Kargakos, T-K. Kim, S. Malassiotis, Autonomous Active Recognition and Unfolding of Clothes using Random Decision Forests and Probabilistic Planning, Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), Hong Kong, 2014 (oral, KUKA best service robotics paper award).

D. Tang, H.J. Chang, A. Tejani, T-K. Kim, Latent Regression Forest: Structural Estimation of 3D Articulated Hand Posture, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014 (oral, accept rate=5.75%).

C. Tsiotsios, M. Angelopoulou, T-K. Kim, A. Davison, Backscatter Compensated Photometric Stereo with 3 Sources, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014.

W. Luo, T-K. Kim, B. Stenger, X. Zhao, R. Cipolla, Bi-label Propagation for Generic Multiple Object Tracking, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014.

X. Zhao, T-K. Kim, W. Luo, Unified Face Analysis by Iterative Multi-Output Random Forests, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014.

A.Doumanoglou, T-K. Kim, X. Zhao, S. Malassiotis, Active Random Forests: An application to Autonomous Unfolding of Clothes, Proc. of European Conf. on Computer Vision (ECCV), Zurich, Switzerland, 2014.

A. Tejani, D. Tang, R. Kouskouridas, T-K. Kim, Latent-Class Hough Forests for 3D Object Detection and Pose Estimation, Proc. of European Conf. on Computer Vision (ECCV), Zurich, Switzerland, 2014.

C. Xiong, G. Gao, S. Yan, Z. Zha, H. Ma, T-K. Kim, Adaptive Learning for Celebrity Identification with Video Context, IEEE Trans. on Multimedia, Vol.16, No.5, Aug 2014.

Y. Liu*, Y. Jang*, W. Woo, T-K. Kim, Video-based Object Recognition using Novel Set-of-Sets Representation, Proc. of IEEE CVPR Workshop on Egocentric (First-person) Vision, Columbus, Ohio, USA, 2014.

W. Hoo, T-K. Kim, Y. Pei, C. Chan, Image Classfication by Codebook Updating via Joint i-Pat Topic Model Feedback, Proc. of Int. Conf. on Pattern Recognition (ICPR), Stockholm, Sweden, 2014 (oral).

O. Deniz, I. Serrano, G. Bueno and T-K. Kim, Fast Violence Detection in Video, The 9th Int. Conf. on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal, Jan 2014.

2013

D. Tang, T.H. Yu and T-K. Kim, Real-time Articulated Hand Pose Estimation using Semi-supervised Transductive Regression Forests, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Sydney, Australia, 2013 (oral, accept rate=41/1629).

Y. Pei, T-K. Kim and H. Zha, Unsupervised Random Forest Manifold Alignment for Lipreading, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Sydney, Australia, 2013.

T.H. Yu, T-K. Kim, and R. Cipolla, Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-modality Regression Forest, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, 2013.

K. Lee, Y. Su, T-K. Kim and Y. Demiris, A Syntactic Approach to Robot Imitation Learning using Probabilistic Activity Grammars, Robotics and Autonomous Systems Journal (RAS), 2013.

W. Luo and T-K. Kim, Generic Object Crowd Tracking by Multi-Task Learning, Proc. of British Machine Vision Conference (BMVC), Bristol, UK, 2013.

2012

T-K. Kim, I. Budvytis, R. Cipolla, Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation, Int. Journal of Computer Vision (IJCV), 100(2):203-215, 2012 (selected for BMVC10 best paper issue).

D. Tang, Y. Liu and T-K. Kim, Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates, Proc. of British Machine Vision Conference (BMVC), Surrey, UK, 2012.

K. Lee, T-K. Kim and Y. Demiris, Learning Reusable Task Components using Hierarchical Activity Grammars with Uncertainties, Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), Saint Paul, Minnesota, USA, May 2012 (oral).

K. Lee, T-K. Kim and Y. Demiris, Learning Action Symbols for Hierarchical Grammar Induction, Proc. of Int. Conf. on Pattern Recognition (ICPR), Tsukuba Science City, Japan, Nov 2012 (oral).

C. Xiong and T-K. Kim, Set-Based Label Propagation of Face Images, Proc. of IEEE Int. Conf. on Image Processing (ICIP), Orlando, Florida, USA, Oct 2012.

2011

T-K. Kim, B. Stenger, J. Kittler and R. Cipolla, Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications, Int. Journal of Computer Vision (IJCV), 91(2):216-232, Jan 2011.

Y. Chen, T-K. Kim and R. Cipolla, Silhouette-based Object Phenotype Recognition Using 3D Shape Priors, Proc. IEEE Int. Conf. on Computer Vision (ICCV), Barcelona, Spain, November 2011.

T-K. Kim and R. Cipolla, Multiple Classifier Boosting and Tree-Structured Classifiers, bookchapter in Machine Learning for Computer Vision, Springer, 2012 (ISBN 978-3-642-28660-5).

2010

T-K. Kim, J. Kittler and R. Cipolla, On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets, IEEE Trans. on Image Processing (TIP), Vol.19, No.4, pp. 1067-1074, 2010.

Y. Chen, T-K. Kim, R. Cipolla, Inferring 3D Shapes and Deformations from Single Views, Proc. of European Conference on Computer Vision (ECCV), Crete, Greece, 2010.

T.H. Yu, T-K. Kim, R. Cipolla, Real-time Action Recognition by Spatiotemporal Semantic and Structural Forest, Proc. of British Machine Vision Conference (BMVC), Aberystwyth, UK, 2010 (oral, accept rate=30/345).

T-K. Kim*, I. Budvytis*, R. Cipolla, Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier, Proc. of British Machine Vision Conference (BMVC), Aberystwyth, UK, 2010 (oral, accept rate=30/345). *indicates equal contribution.

U. Bonde, T-K. Kim, K.R. Ramakrishnan, Randomised Manifold Forests for Principal Angle based Face Recognition, Proc. of Asian Conf. on Computer Vision (ACCV), Queenstown, New Zealand, 2010.

T-K. Kim, T. Woodley, B. Stenger, R. Cipolla, Online Multiple Classifier Boosting for Object Tracking, Proc. of IEEE CVPR workshop on Online Learning for Computer Vision, San Francisco, USA, Jun 2010 (oral).

Before 2009

T-K. Kim and R. Cipolla, Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection, IEEE Trans on PAMI (TPAMI), Vol.31, No.8, pp.1415-1428, 2009.

K. Chaiyasarn, T-K Kim, R. Cipolla and K. Soga, Image Mosaicing via Quadric Surface Estimation with Priors for Tunnel Inspection, IEEE Int. Conf. on Image Processing (ICIP), pp.537-540, Cairo, Egypt, Nov 2009.

N. Mavaddat, T-K. Kim and R. Cipolla, Design and evaluation of features that best define text in complex scene images, IAPR Conf. on Machine Vision Applications (MVA), pp.94-97, Japan, May 2009.

B. Stenger, T. Woodley, T-K. Kim, R. Cipolla, A Vision-based Interface for Display Interaction, Proc. of the 23rd BCS Conf. on Human Computer Interaction (HCI), pp.163-168, Cambridge, UK, 2009.

T-K. Kim and R. Cipolla, MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features, In Advances in Neural Information Processing Systems (NIPS), pp.841-856, Vancouver, Canada, 2008.

B. Stenger, T. Woodley, T-K. Kim, C. Hernandez, R. Cipolla, AIDIA - Adaptive Interface for Display InterAction, British Machine Vision Conference (BMVC), pp.1-10, Leeds, UK, 2008.

T-K. Kim, J. Kittler and R. Cipolla, Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations, IEEE Trans on PAMI (TPAMI), Vol.29, No.6, pp. 1005-1018, 2007.

T-K. Kim, O. Arandjelovic and R. Cipolla, Boosted Manifold Principal Angles for Set-based Recognition, Pattern Recognition (PR), Vol.40, No.9, pp.2475-2484, 2007.

T-K. Kim, S-F. Wong, and R. Cipolla, Tensor Canonical Correlation Analysis for Action Classification, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp.1-8, Minnesota, USA, June 2007.

S-F. Wong, T-K. Kim and R. Cipolla, Learning Motion Categories using both Semantic and Structural Information, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp.1-8, Minnesota, USA, June 2007.

T-K. Kim, S-F. Wong, B. Stenger, J. Kittler and R. Cipolla, Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp.1-8, Minnesota, USA, June 2007.

T-K. Kim and Roberto Cipolla, Gesture Recognition Under Small Sample Size, In Proc. 8th Asian Conf. on Computer Vision (ACCV), pp.335-344, Tokyo, Japan, Nov 2007 (oral, accept rate=8.4%).

T-K. Kim, J. Kittler and R. Cipolla, Learning Discriminative Canonical Correlations for Object Recognition with Image Sets, European Conf. on Computer Vision (ECCV), pp.251-262, Graz, Austria, 2006.

T-K. Kim, J. Kittler and R. Cipolla, Incremental Learning of Locally Orthogonal Subspaces for Set-based Object Recognition, British Machine Vision Conference (BMVC), pp.559-568, Edinburgh, UK, Sep 2006.

T-K. Kim and J. Kittler, Design and Fusion of Pose Invariant Face Identification Experts, IEEE Trans. on Circuit and System for Video Technology, Vol.16, No.9, pp.1096-1106, 2006.

T-K. Kim and J. Kittler, Locally Linear Discriminant Analysis for Multi-modally Distributed Classes for Face Recognition with a Single Model Image, IEEE Trans on PAMI (TPAMI ), Vol.27, No.3, pp.318-327, 2005.

T-K. Kim, H. Kim, W. Hwang and J. Kittler, Component-based LDA Face Description for Image Retrieval and MPEG-7 Standardisation, Image and Vision Computing, Vol.23, No.7, pp.631-642, 2005.

T-K. Kim, O. Arandjelovi and R. Cipolla, Learning over Sets using Boosted Manifold Principal Angles (BoMPA), British Machine Vision Conference (BMVC), pp.779-788, Oxford, UK, Sep 2005.

T-K. Kim, H. Kim, W. Hwang, and J. Kittler, Independent Component Analysis in a Local Facial Residue Space for Face Recognition, Pattern Recognition (PR), Vol. 37, No. 9, pp.1873-1885, 2004.

T-K. Kim and J. Kittler, Combining Classifier for Face Identification at Unknown Views with a Single Model Image, Joint IAPR Int. Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (SSPR+SPR 2004) – Also in Lecture Notes in Computer Science, pp.1873-1885, Lisbon, Portugal, Aug 2004.

W. Hwang, T-K. Kim, and S-C. Kee, LDA with subgroup PCA method for facial image retrieval, 5th Int. Workshop on Image Analysis for Multimedia Interactive Services, pp.1-4, Portugal, Apr 2004.

H. Kim, T-K. Kim, W. Hwang, S-C. Kee, A recursive matching method for content-based image retrieval, 5th Int. Workshop on Image Analysis for Multimedia Interactive Services, pp.1-4, Portugal, Apr 2004.

T-K. Kim, H. Kim, W. Hwang, S-C. Kee and J. Kittler, Independent Component Analysis in a Facial Local Residue Space, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp.579-586, Madison, USA, 2003 (oral, accept rate=6%).

T-K. Kim, J. Kittler, H-C. Kim, S-C. Kee, Discriminant Analysis by Multiple Local Linear Transformation, British Machine Vision Conference (BMVC), pp.1-10, UK, 2003.

T-K. Kim, H. Kim, W. Hwang, S-C. Kee and J. Kittler, Face description based on decomposition and combining of a facial space with LDA, IEEE Int. Conf. on Image Processing (ICIP), pp.877-880, Spain, 2003.

T-K. Kim, H. Kim, W. Hwang, S-C. Kee, J. Lee, Component-based LDA Face Descriptor for Image Retrieval, British Machine Vision Conference (BMVC), pp.507-516, Cardiff, UK, Sep 2002.

T-K. Kim, D. Kong and S-R. Kim, Learning a Decision Boundary for Face Detection, IEEE Int. Conf. on Image Processing (ICIP), pp.920-923, Rochester, New York, Sep 2002.

T-K. Kim, S-U. Lee, J. Lee, S-C. Kee and S-R. Kim, Multiple Face Detection for Video Surveillance, IAPR/IEEE Int. Conf. on Pattern Recognition (ICPR), pp.394-397, Quebec, Canada, Aug 2002.

P. Bazanov, T-K. Kim, S. Kee and S. Lee, Hybrid and Parallel Face Classifier based on Artificial Neural Networks and Principal Component Analysis, IEEE Int. Conf. on Image Processing (ICIP), pp.916-919, Rochester, New York, Sep 2002.

Y. Sung, T-K. Kim, S. Kee, Hierarchical Combination of Face/Non-face Classifiers based on Gabor Wavelet and Support Vector Machines, IAPR Conf. on Machine Vision Applications (MVA), pp.120-123, Japan, 2002.

*6 MPEG7 standard documents (authored algorithm for face image descriptor was promoted to MPEG-7 ISO/IEC standard), and over 14 international patents issued.