See citations at http://scholar.google.co.uk/citations?user=j2WcLecAAAAJ&hl=en
Publications:
2024
J. Lee, S. Saito, G. Nam, M. Sung, T-K. Kim, InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, 2024
R. Bodur, B. Bhattarai, T-K. Kim, Prompt Augmentation for Self-supervised Text-guided Image Manipulation, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, 2024
J. Kim, T-K. Kim, Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, 2024
Minje Kim, Tae-Kyun Kim, BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, 2024
T. Wang, K. Zhang, Z. Shao, W. Luo, B. Stenger, T. Lu, T-K. Kim, W. Liu, H. Li , GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions", to appear in International Journal of Computer Vision (IJCV), 2024
H. Ai, Z. Cao, H. Lu, C. Chen, J. Ma, P. Zhou, T-K. Kim, P. Hui, L. Wang, Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360 Image Outpainting, Proc. of IEEE Virtual Reality (VR), Orlando, Florida, USA, 2024 (full paper, also to appear in IEEE Trans. on Visualization and Computer Graphics, 2024)
2023
J. Lee, J. Jang, D. Kim, M. Sung, T-K. Kim, FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023
P. Castro, T-K. Kim, PoseMatcher: One-shot Model Free Pose Estimation by Deep Feature Matching, Proc. of 8th International Workshop on Recovering 6D Object Pose at ICCV, Paris, France, 2023
J. Sun, Z. Chen, T-K. Kim, MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Paris, France, 2023
X. Shi, G. Dikov, G. Reitmayr, T-K. Kim, M. Ghafoorian, 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Paris, France, 2023
H. Park*, J. Lee*, Y. Seo, T. Min, J. Yun, J. Kim, T-K. Kim (* equal contributions), Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images, Proc. of IAPR Int. Conference on Machine Vision Applications (MVA), Hamamatsu, Japan, 2023 (oral)
J. Lee, M. Sung, H. Choi, T-K. Kim, Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes, Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, 2023.
J. Jang, K. Lee, T-K. Kim, Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses, Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, 2023.
R. Bodur, B. Bhattarai, T-K. Kim, Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, 2023
2022
X. Shi, Z. Chen, T-K. Kim, Multivariate Probabilistic Monocular 3D Object Detection, Proc. of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, Jan 2023.
P. Castro, T-K. Kim, CRT6D : Fast 6D Object Pose Estimation with Cascaded Refinement Transformers, Proc. of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, Jan 2023.
H. Choi, Z. Chen, X. Shi, T-K. Kim, Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty, Proc. of The 33rd British Machine Vision Conference (BMVC), London, UK, 2022.
R. Caramalau, B. Bhattarai, D. Stoyanov T-K. Kim, MoBYv2: Self-supervised Active Learning for Image Classification. Proc. of The 33rd British Machine Vision Conference (BMVC), London, UK, 2022.
J. Wang, Y. Zhang, Y. Gu, T-K. Kim, SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning, Proc. of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2022.
J. Lee*, M. Sung*, H. Kim, T-K. Kim, Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian, Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022.
D. Antotsiou, C. Ciliberto, T-K Kim, Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division, Proc. of Int. Conf. on Robotics and Automation (ICRA), Philadelphia, USA, 2022.
J. Sun, B. Bhattarai, Z. Chen T-K. Kim, SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency, Proc. of AI for Content Creation Workshop at CVPR, New Orleans, USA, 2022.
S. Sapkota, B. Khanal, B. Bhattarai*, B. Khanal, T-K. Kim, Label Geometry Aware Discriminator for Conditional Generative Networks, Prof. of 26th International Conference on Pattern Recognition (ICPR), Montréal, Québec, 2022.
T. Kim, J. Wang, D. Antotsiou, T-K. Kim, Learning Policy from Suboptimal Demonstrations under Transition Dynamic Mismatch, ICML Workshop on Adaptive Experimental Design and Active Learning, Baltimore, USA, 2022.
2021
L. Wang, Y. Chae, S. Yoon, T-K. Kim, K-J. Yoon, EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation, Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
W. Luo, J. Xing, A. Milan, X. Zhang, W. Liu, T-K. Kim, Multiple object tracking: A literature review, Journal of Artificial Intelligence, 293:103448, 2021.
L. Wang, T-K. Kim, K. Yoon, Joint Framework for Single Image Reconstruction and Super-resolution with an Event Camera, IEEE Trans on PAMI (TPAMI), (01):1-1, 1 Sep 2021.
X. Shi, Q. Ye, X. Chen, C. Chen, Z. Chen, T-K. Kim, Geometry-based Distance Decomposition for Monocular 3D Object Detection, Proc. of IEEE Int. Conf. on Computer Vision (ICCV), 2021.
Z. Chen, T-K. Kim, Learning Feature Aggregation for Deep 3D Morphable Models, Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
R. Caramalau, B. Bhattarai, T-K. Kim, Sequential Graph Convolutional Network for Active Learning, Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
J. Wang, Y. Zhang, T-K. Kim, Y. Gu, Modelling hierarchical structure between dialogue policy and natural language generator with option framework for task-oriented dialogue system, Proc. of Ninth International Conference on Learning Representation (ICLR), 2021.
D. Antotsiou, C. Ciliberto, T-K Kim, Adversarial Imitation Learning with Trajectorial Augmentation and Correction, Proc. of Int. Conf. on Robotics and Automation (ICRA), Xi’an, China, 2021.
J. Lee, B. Bhattarai, T-K. Kim, Face Parsing from RGB and Depth Using Cross-Domain Mutual Learning, Proc. of CVPR Workshop on Analysis and Modeling of Faces, 2021.
R. Bodur, B. Bhattarai, T-K. Kim, 3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning, Proc. of Winter Conference on Applications of Computer Vision (WACV), Virtual Hawaii, US, 2021.
R. Caramalau, B. Bhattarai, T-K. Kim, Active Learning for Bayesian 3D Hand Pose Estimation, Proc. of Winter Conference on Applications of Computer Vision (WACV), Virtual Hawaii, US, 2021.
2020
S. Baek, K. I. Kim, T-K. Kim, Weakly-supervised Domain Adaptation for 3D Hand Pose Estimation under Hand-Object Interaction via GAN and 3D Mesh Model, Prof. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, 2020 (oral, 5.7% accept rate) (best paper finalist, 26 papers out of 6,656 submissions).
L. Wang, T-K. Kim, K.-J. Yoon, EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning, Prof. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, 2020.
A. Armagan, G. Garcia-Hernando, S. Baek, S. Hampali, M. Rad, Z. Zhang, S. Xie, N. Chen, B. Zhang, F. Xiong, Y. Xiao, Z. Cao, J. Yuan, P. Ren, W. Huang, H. Sun, M. Hrúz, J. Kanis, Z. Krňoul, Q. Wan, S. Li, D. Lee, L. Yang, A. Yao, Y-H. Liu, A. Spurr, P. Molchanov, U. Iqbal, P. Weinzaepfel, R. Brégier, G. Rogez, V. Lepetit, T-K. Kim, Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction, Proc. of European Conference on Computer Vision (ECCV), Edinburgh, UK, 2020.
W. Im, T-K. Kim, S. Yoon, Unsupervised Learning of Optical Flow with Deep Feature Similarity, Proc. of European Conference on Computer Vision (ECCV), Edinburgh, UK, 2020.
B. Bhattarai, T-K. Kim, Inducing Optimal Attributes Representations for Conditional GANs, Proc. of European Conference on Computer Vision (ECCV), Edinburgh, UK, 2020.
X. Shi, Z. Chen, T-K. Kim, Distance-Normalized Unified Representation for Monocular 3D Object Detection, Proc. of European Conference on Computer Vision (ECCV), Edinburgh, UK, 2020.
K. Park, S. Kim, Y. Yoon, T-K. Kim, G. Lee, DeepFisheye: Near-Surface Multi-Finger Tracking Technology Using Fisheye Camera, Proc. of ACM Symposium on User Interface Software and Technology (UIST), Minneapolis, MN, USA, 2020.
G. Park, T-K. Kim, W. Woo, 3D Hand Pose Estimation with a Single Infrared Camera via Domain Transfer Learning, IEEE Int. Symposium on Mixed and Augmented Reality (ISMAR), 2020.
J. Sock, G. Garcia-Hernando, A. Armagan, T-K. Kim, Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images, Proc. of Int. Conf. on 3D Vision (3DV), 2020 (oral).
G. Garcia-Hernando, E. Johns, T-K. Kim, Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning, Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020.
J. Sock, G. Garcia-Hernando, T-K. Kim, Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning, Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020.
J. Sun, B. Bhattarai, T-K. Kim, MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network, Proc. of Asian Conf. on Computer Vision (ACCV), virtual Kyoto, 2020.
C. Sahin, G. Garcia-Hernando, J. Sock, T-K. Kim, A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators, Image and Vision Computing (IVC) Journal, accepted to appear, 2020.
P. Castro, A. Armagan, T-K. Kim, Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction, Prof. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.
B. Bhattarai, S. Baek, R. Bodur, T-K. Kim, Sampling Strategies for GAN Synthetic Data, Prof. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.
B. Bhattarai, R. Bodur, T-K. Kim, AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification, Prof. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.
S. Ali, B. Bhattarai, T-K. Kim, J. Rittscher, Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images, Proc. of the 11th International Workshop on Machine Learning in Medical Imaging in conjunction with MICCAI 2020.
2019
J. Wang, Y. Zhang, T-K. Kim, Y. Gu, Shapley Q-value: A Local Reward Approach to Solve Global Reward Games, Proc. of AAAI Conf. on Artificial Intelligence (AAAI), New York, USA, 2020 (oral).
S. Baek, K.I. Kim, T-K. Kim, Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, 2019.
C. Loy, X. Liu, T-K. Kim, F. Torre, R. Chellappa, Editorial: Special Issue on Deep Learning for Face Analysis, Int. Journal of Computer Vision (IJCV), 127(6-7):533-536, 2019.
T-K. Kim, S. Zafeiriou, B. Glocker, S. Leutenegger, Editorial: Special Issue on Machine Vision, Int. Journal of Computer Vision (IJCV), 2019. https://doi.org/10.1007/s11263-019-01201-4
S. Yuan, B. Stenger, T-K. Kim, RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images, Observing and Understanding Hands in Action (HANDS) workshop, ICCV, Seoul, Korea, 2019.
C. Sahin, G. Garcia-Hernando, J. Sock, T-K. Kim, Instance- and Category-level 6D Object Pose Estimation, book chapter in RGB-D Image Analysis and Processing, Springer, 2019.
2018
W. Luo, B. Stenger, X. Zhao, T-K. Kim, Trajectories as Topics: Multi-Object Tracking by Topic Discovery, IEEE Trans on Image Processing (TIP), 28 (1), 240-252, 2019.
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.
T. Hodan, R. Kouskouridas, T-K. Kim, F. Tombari, K. Bekris, B. Drost, T. Groueix, K. Walas, V. Lepetit, A. Leonardis, C. Steger, F. Michel, C. Sahin, C. Rother, J. Matas, A Summary of the 4th International Workshop on Recovering 6D Object Pose, ECCV workshop on Recovering 6D Object Pose, Munich, Germany, Sep 2018.
I. Oikonomidis, G. Garcia-Hernando, A. Yao, A. Argyros, V. Lepetit, T-K. Kim, HANDS18: Methods, Techniques and Applications for Hand Observation, 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.