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Tae-Kyun Kim 0001
Person information
- affiliation: Korea Advanced Institute of Science and Technology, School of Computing, Daejeon, South Korea
- affiliation (2020 - 2024): Imperial College London, UK
- affiliation (PhD 2008): University of Cambridge, UK
Other persons with the same name
- Tae-Kyun Kim
- Tae-Kyun Kim 0002 — SK hynix Semiconductor, Icheon, Korea
- Tae-Kyun Kim 0003 — Yonsei University, Department of Electrical and Electronic Engineering, Seoul, South Korea
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2020 – today
- 2024
- [j46]Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Björn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu, Hongdong Li:
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions. Int. J. Comput. Vis. 132(10): 4541-4563 (2024) - [j45]Jinjing Zhu, Zhedong Hu, Tae-Kyun Kim, Lin Wang:
Energy-Based Domain-Adaptive Segmentation With Depth Guidance. IEEE Robotics Autom. Lett. 9(8): 7126-7133 (2024) - [j44]Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang:
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting. IEEE Trans. Vis. Comput. Graph. 30(5): 2734-2744 (2024) - [j43]Woojin Cho, Taewook Ha, Ikbeom Jeon, Jinwoo Jeon, Tae-Kyun Kim, Woontack Woo:
Temporally enhanced graph convolutional network for hand tracking from an egocentric camera. Virtual Real. 28(3): 143 (2024) - [c129]Jihyun Lee, Shunsuke Saito, Giljoo Nam, Minhyuk Sung, Tae-Kyun Kim:
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion. CVPR 2024: 527-537 - [c128]Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani:
iEdit: Localised Text-guided Image Editing with Weak Supervision. CVPR Workshops 2024: 7426-7435 - [c127]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
Prompt Augmentation for Self-supervised Text-guided Image Manipulation. CVPR 2024: 8829-8838 - [c126]Jinseok Kim, Tae-Kyun Kim:
Arbitrary-Scale Image Generation and Upsampling Using Latent Diffusion Model and Implicit Neural Decoder. CVPR 2024: 9202-9211 - [c125]Minje Kim, Tae-Kyun Kim:
BiTT: Bi-Directional Texture Reconstruction of Interacting Two Hands from a Single Image. CVPR 2024: 10726-10735 - [c124]Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun Kim:
Dense Hand-Object (HO) GraspNet with Full Grasping Taxonomy and Dynamics. ECCV (82) 2024: 284-303 - [i83]Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang:
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360 Image Outpainting. CoRR abs/2401.10564 (2024) - [i82]Tao Wang, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Tae-Kyun Kim, Tong Lu, Hongdong Li, Ming-Hsuan Yang:
PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal. CoRR abs/2402.02374 (2024) - [i81]Jinjing Zhu, Zhedong Hu, Tae-Kyun Kim, Lin Wang:
Energy-based Domain-Adaptive Segmentation with Depth Guidance. CoRR abs/2402.03795 (2024) - [i80]Minje Kim, Tae-Kyun Kim:
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image. CoRR abs/2403.08262 (2024) - [i79]Jinseok Kim, Tae-Kyun Kim:
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder. CoRR abs/2403.10255 (2024) - [i78]Jihyun Lee, Shunsuke Saito, Giljoo Nam, Minhyuk Sung, Tae-Kyun Kim:
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion. CoRR abs/2403.17422 (2024) - [i77]Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun Kim:
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics. CoRR abs/2409.04033 (2024) - [i76]Minju Kang, Taehun Kong, Tae-Kyun Kim:
Semi-Supervised 3D Object Detection with Channel Augmentation using Transformation Equivariance. CoRR abs/2409.06583 (2024) - [i75]Donghwan Kim, Tae-Kyun Kim:
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images. CoRR abs/2409.18364 (2024) - 2023
- [j42]Myeong-Jae Park, Jinhyung Lee, Kyungjun Cho, Ji Hwan Park, Junil Moon, Sung-Hak Lee, Tae-Kyun Kim, Sanghoon Oh, Seokwoo Choi, Yongsuk Choi, Ho Sung Cho, Tae-Sik Yun, Young Jun Koo, Jae-Seung Lee, Byung Kuk Yoon, Young Jun Park, Sangmuk Oh, Chang Kwon Lee, Seong-Hee Lee, Hyun-Woo Kim, Yucheon Ju, Seung-Kyun Lim, Kyo Yun Lee, Sang-Hoon Lee, Woo Sung We, Seungchan Kim, Seung Min Yang, Keonho Lee, In-Keun Kim, Younghyun Jeon, Jae-Hyung Park, Jong Chan Yun, Seonyeol Kim, Dong-Yeol Lee, Su-Hyun Oh, Junghyun Shin, Yeonho Lee, Jieun Jang, Joohwan Cho:
A 192-Gb 12-High 896-GB/s HBM3 DRAM With a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization. IEEE J. Solid State Circuits 58(1): 256-269 (2023) - [c123]Junbong Jang, Kwonmoo Lee, Tae-Kyun Kim:
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses. CVPR 2023: 227-236 - [c122]Jihyun Lee, Minhyuk Sung, Honggyu Choi, Tae-Kyun Kim:
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes. CVPR 2023: 21169-21178 - [c121]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation. ICASSP 2023: 1-5 - [c120]Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-Kyun Kim, Mohsen Ghafoorian:
3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces. ICCV 2023: 9099-9109 - [c119]Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim:
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning. ICCV 2023: 14406-14416 - [c118]Pedro Castro, Tae-Kyun Kim:
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching. ICCV (Workshops) 2023: 2140-2149 - [c117]Jihyun Lee, Hangil Park, Yongmin Seo, Taewon Min, Joodong Yun, Jaewon Kim, Tae-Kyun Kim:
Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images. MVA 2023: 1-5 - [c116]Jihyun Lee, Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-Kyun Kim:
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow. NeurIPS 2023 - [c115]Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim:
Multivariate Probabilistic Monocular 3D Object Detection. WACV 2023: 4270-4279 - [c114]Pedro Castro, Tae-Kyun Kim:
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers. WACV 2023: 5735-5744 - [i74]Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim:
MoBYv2AL: Self-supervised Active Learning for Image Classification. CoRR abs/2301.01531 (2023) - [i73]Jihyun Lee, Minhyuk Sung, Honggyu Choi, Tae-Kyun Kim:
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes. CoRR abs/2302.14348 (2023) - [i72]Junbong Jang, Kwonmoo Lee, Tae-Kyun Kim:
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses. CoRR abs/2303.08364 (2023) - [i71]Pedro Castro, Tae-Kyun Kim:
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching. CoRR abs/2304.01382 (2023) - [i70]Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim:
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning. CoRR abs/2304.13819 (2023) - [i69]Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani:
iEdit: Localised Text-guided Image Editing with Weak Supervision. CoRR abs/2305.05947 (2023) - [i68]Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Björn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu, Hongdong Li:
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions. CoRR abs/2305.17863 (2023) - [i67]Jihyun Lee, Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-Kyun Kim:
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow. CoRR abs/2307.08100 (2023) - [i66]Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Björn Stenger, Tae-Kyun Kim, Wei Liu, Hongdong Li:
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement. CoRR abs/2307.14659 (2023) - [i65]Xuanxi Chen, Tao Wang, Ziqian Shao, Kaihao Zhang, Wenhan Luo, Tong Lu, Zikun Liu, Tae-Kyun Kim, Hongdong Li:
Deep Video Restoration for Under-Display Camera. CoRR abs/2309.04752 (2023) - 2022
- [j41]Yunai Yi, Diya Sun, Peixin Li, Tae-Kyun Kim, Tianmin Xu, Yuru Pei:
Unsupervised random forest for affinity estimation. Comput. Vis. Media 8(2): 257-272 (2022) - [j40]Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon:
Joint Framework for Single Image Reconstruction and Super-Resolution With an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7657-7673 (2022) - [c113]Honggyu Choi, Zhixiang Chen, Xuepeng Shi, Tae-Kyun Kim:
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty. BMVC 2022: 405 - [c112]Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim:
MoBYv2AL: Self-supervised Active Learning for Image Classification. BMVC 2022: 674 - [c111]Jihyun Lee, Minhyuk Sung, Hyunjin Kim, Tae-Kyun Kim:
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian. CVPR 2022: 18511-18520 - [c110]Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. ICPR 2022: 2914-2920 - [c109]Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim:
Modular Adaptive Policy Selection for Multi- Task Imitation Learning through Task Division. ICRA 2022: 2459-2465 - [c108]Myeong-Jae Park, Ho Sung Cho, Tae-Sik Yun, Sangjin Byeon, Young Jun Koo, Sang-Sic Yoon, Dong-Uk Lee, Seokwoo Choi, Ji Hwan Park, Jinhyung Lee, Kyungjun Cho, Junil Moon, Byung Kuk Yoon, Young Jun Park, Sangmuk Oh, Chang Kwon Lee, Tae-Kyun Kim, Seong-Hee Lee, Hyun-Woo Kim, Yucheon Ju, Seung-Kyun Lim, Seung Geun Baek, Kyo Yun Lee, Sang Hun Lee, Woo Sung We, Seungchan Kim, Yongseok Choi, Seong-Hak Lee, Seung Min Yang, Gunho Lee, In-Keun Kim, Younghyun Jeon, Jae-Hyung Park, Jong Chan Yun, Chanhee Park, Sun-Yeol Kim, Sungjin Kim, Dong-Yeol Lee, Su-Hyun Oh, Taejin Hwang, Junghyun Shin, Yunho Lee, Hyunsik Kim, Jaeseung Lee, Youngdo Hur, Sangkwon Lee, Jieun Jang, Junhyun Chun, Joohwan Cho:
A 192-Gb 12-High 896-GB/s HBM3 DRAM with a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization. ISSCC 2022: 444-446 - [c107]Jianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim:
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning. NeurIPS 2022 - [i64]Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim:
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division. CoRR abs/2203.14855 (2022) - [i63]Jihyun Lee, Minhyuk Sung, Hyunjin Kim, Tae-Kyun Kim:
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian. CoRR abs/2203.15235 (2022) - [i62]Pedro Castro, Tae-Kyun Kim:
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers. CoRR abs/2210.11718 (2022) - [i61]Honggyu Choi, Zhixiang Chen, Xuepeng Shi, Tae-Kyun Kim:
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty. CoRR abs/2212.02747 (2022) - 2021
- [j39]Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, Tae-Kyun Kim:
Multiple object tracking: A literature review. Artif. Intell. 293: 103448 (2021) - [c106]Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, Kuk-Jin Yoon:
EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation. CVPR 2021: 608-619 - [c105]Jihyun Lee, Binod Bhattarai, Tae-Kyun Kim:
Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning. CVPR Workshops 2021: 1501-1510 - [c104]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Sequential Graph Convolutional Network for Active Learning. CVPR 2021: 9583-9592 - [c103]Zhixiang Chen, Tae-Kyun Kim:
Learning Feature Aggregation for Deep 3D Morphable Models. CVPR 2021: 13164-13173 - [c102]Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, Tae-Kyun Kim:
Geometry-based Distance Decomposition for Monocular 3D Object Detection. ICCV 2021: 15152-15161 - [c101]Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu:
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System. ICLR 2021 - [c100]Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim:
Adversarial Imitation Learning with Trajectorial Augmentation and Correction. ICRA 2021: 4724-4730 - [c99]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. WACV 2021: 2391-2400 - [c98]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Active Learning for Bayesian 3D Hand Pose Estimation. WACV 2021: 3418-3427 - [i60]Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim:
Adversarial Imitation Learning with Trajectorial Augmentation and Correction. CoRR abs/2103.13887 (2021) - [i59]Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, Tae-Kyun Kim:
Geometry-based Distance Decomposition for Monocular 3D Object Detection. CoRR abs/2104.03775 (2021) - [i58]Zhixiang Chen, Tae-Kyun Kim:
Learning Feature Aggregation for Deep 3D Morphable Models. CoRR abs/2105.02173 (2021) - [i57]Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Networks. CoRR abs/2105.05501 (2021) - [i56]Jianhong Wang, Jinxin Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim:
SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning. CoRR abs/2105.15013 (2021) - [i55]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Visual Transformer for Task-aware Active Learning. CoRR abs/2106.03801 (2021) - [i54]Jiaze Sun, Binod Bhattarai, Zhixiang Chen, Tae-Kyun Kim:
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency. CoRR abs/2111.09298 (2021) - [i53]Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, Kuk-Jin Yoon:
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation. CoRR abs/2111.12341 (2021) - [i52]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation. CoRR abs/2112.04603 (2021) - 2020
- [j38]Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators. Image Vis. Comput. 96: 103898 (2020) - [c97]Juil Sock, Guillermo Garcia-Hernando, Anil Armagan, Tae-Kyun Kim:
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images. 3DV 2020: 291-300 - [c96]Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu:
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games. AAAI 2020: 7285-7292 - [c95]Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim:
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network. ACCV (4) 2020: 608-623 - [c94]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects. CVPR 2020: 6120-6130 - [c93]Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon:
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning. CVPR 2020: 8312-8322 - [c92]Binod Bhattarai, Tae-Kyun Kim:
Inducing Optimal Attribute Representations for Conditional GANs. ECCV (7) 2020: 69-85 - [c91]Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdenek Krnoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim:
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation Under Hand-Object Interaction. ECCV (23) 2020: 85-101 - [c90]Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim:
Distance-Normalized Unified Representation for Monocular 3D Object Detection. ECCV (29) 2020: 91-107 - [c89]Woobin Im, Tae-Kyun Kim, Sung-Eui Yoon:
Unsupervised Learning of Optical Flow with Deep Feature Similarity. ECCV (24) 2020: 172-188 - [c88]Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. ICASSP 2020: 2303-2307 - [c87]Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. ICASSP 2020: 2308-2312 - [c86]Pedro Castro, Anil Armagan, Tae-Kyun Kim:
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction. ICASSP 2020: 4147-4151 - [c85]Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim:
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. IROS 2020: 9561-9568 - [c84]Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning. IROS 2020: 10564-10571 - [c83]Gabyong Park, Tae-Kyun Kim, Woontack Woo:
3D Hand Pose Estimation with a Single Infrared Camera via Domain Transfer Learning. ISMAR 2020: 588-599 - [c82]Dong-Uk Lee, Ho Sung Cho, Jihwan Kim, Young Jun Ku, Sangmuk Oh, Chul Dae Kim, Hyun Woo Kim, Wooyoung Lee, Tae-Kyun Kim, Tae Sik Yun, Min Jeong Kim, SeungGyeon Lim, Seong Hee Lee, Byung Kuk Yun, Jun Il Moon, Ji Hwan Park, Seokwoo Choi, Young Jun Park, Chang Kwon Lee, Chunseok Jeong, Jae-Seung Lee, Sang Hun Lee, Woo Sung We, Jong Chan Yun, Doobock Lee, Junghyun Shin, Seungchan Kim, Junghwan Lee, Jiho Choi, Yucheon Ju, Myeong-Jae Park, Kang Seol Lee, Youngdo Hur, Daeyong Shim, Sangkwon Lee, Junhyun Chun, Kyowon Jin:
22.3 A 128Gb 8-High 512GB/s HBM2E DRAM with a Pseudo Quarter Bank Structure, Power Dispersion and an Instruction-Based At-Speed PMBIST. ISSCC 2020: 334-336 - [c81]Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. MLMI@MICCAI 2020: 494-503 - [c80]Keunwoo Park, Sunbum Kim, Youngwoo Yoon, Tae-Kyun Kim, Geehyuk Lee:
DeepFisheye: Near-Surface Multi-Finger Tracking Technology Using Fisheye Camera. UIST 2020: 1132-1146 - [i51]Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators. CoRR abs/2001.10609 (2020) - [i50]Binod Bhattarai, Tae-Kyun Kim:
Inducing Optimal Attribute Representations for Conditional GANs. CoRR abs/2003.06472 (2020) - [i49]Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon:
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning. CoRR abs/2003.07640 (2020) - [i48]Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. CoRR abs/2003.10033 (2020) - [i47]Juil Sock, Pedro Castro, Anil Armagan, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects. CoRR abs/2003.12344 (2020) - [i46]Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdenek Krnoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim:
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction. CoRR abs/2003.13764 (2020) - [i45]Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim:
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network. CoRR abs/2006.06614 (2020) - [i44]Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu:
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System. CoRR abs/2006.06814 (2020) - [i43]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Sequential Graph Convolutional Network for Active Learning. CoRR abs/2006.10219 (2020) - [i42]Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim:
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. CoRR abs/2008.03285 (2020) - [i41]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. CoRR abs/2009.14798 (2020) - [i40]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Active Learning for Bayesian 3D Hand Pose Estimation. CoRR abs/2010.00694 (2020)
2010 – 2019
- 2019
- [j37]Chen Change Loy, Xiaoming Liu, Tae-Kyun Kim, Fernando De la Torre, Rama Chellappa:
Editorial: Special Issue on Deep Learning for Face Analysis. Int. J. Comput. Vis. 127(6-7): 533-536 (2019) - [j36]Tae-Kyun Kim, Stefanos Zafeiriou, Ben Glocker, Stefan Leutenegger:
Special Issue on Machine Vision. Int. J. Comput. Vis. 127(11-12): 1611-1613 (2019) - [j35]Danhang Tang, Qi Ye, Shanxin Yuan, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton:
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2161-2175 (2019) - [j34]Wenhan Luo, Björn Stenger, Xiaowei Zhao, Tae-Kyun Kim:
Trajectories as Topics: Multi-Object Tracking by Topic Discovery. IEEE Trans. Image Process. 28(1): 240-252 (2019) - [c79]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering. CVPR 2019: 1067-1076 - [c78]Shanxin Yuan, Björn Stenger, Tae-Kyun Kim:
3D Hand Pose Estimation from RGB Using Privileged Learning with Depth Data. ICCV Workshops 2019: 2866-2873 - [i39]Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
Instance- and Category-level 6D Object Pose Estimation. CoRR abs/1903.04229 (2019) - [i38]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering. CoRR abs/1904.04196 (2019) - [i37]Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu:
Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning. CoRR abs/1907.05707 (2019) - [i36]Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. CoRR abs/1907.06757 (2019) - [i35]Mang Shao, Danhang Tang, Tae-Kyun Kim:
Real-time Background-aware 3D Textureless Object Pose Estimation. CoRR abs/1907.09128 (2019) - [i34]Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. CoRR abs/1909.04689 (2019) - [i33]Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning. CoRR abs/1910.08811 (2019) - [i32]Pedro Castro, Anil Armagan, Tae-Kyun Kim:
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction. CoRR abs/1910.10653 (2019) - 2018
- [j33]Xinghao Chen, Guijin Wang, Cairong Zhang, Tae-Kyun Kim, Xiangyang Ji:
SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds. IEEE Access 6: 43425-43439 (2018) - [j32]Ismael Serrano, Oscar Déniz-Suárez, Gloria Bueno García, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Spatio-temporal elastic cuboid trajectories for efficient fight recognition using Hough forests. Mach. Vis. Appl. 29(2): 207-217 (2018) - [j31]Alykhan Tejani, Rigas Kouskouridas, Andreas Doumanoglou, Danhang Tang, Tae-Kyun Kim:
Latent-Class Hough Forests for 6 DoF Object Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 119-132 (2018) - [j30]Yang Liu, Minh Hoai, Mang Shao, Tae-Kyun Kim:
Latent Bi-Constraint SVM for Video-Based Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3044-3052 (2018) - [j29]Yuru Pei, Yunai Yi, Gengyu Ma, Tae-Kyun Kim, Yuke Guo, Tianmin Xu, Hongbin Zha:
Spatially Consistent Supervoxel Correspondences of Cone-Beam Computed Tomography Images. IEEE Trans. Medical Imaging 37(10): 2310-2321 (2018) - [c77]S. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim:
Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. AAAI 2018: 596-603 - [c76]Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim:
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. BMVC 2018: 90 - [c75]Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim:
First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations. CVPR 2018: 409-419 - [c74]Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim:
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. CVPR 2018: 2636-2645 - [c73]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation. CVPR 2018: 8330-8339 - [c72]Caner Sahin, Tae-Kyun Kim:
Recovering 6D Object Pose: A Review and Multi-modal Analysis. ECCV Workshops (6) 2018: 15-31 - [c71]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. ECCV (10) 2018: 19-35 - [c70]Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim:
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model. ECCV (11) 2018: 230-248 - [c69]Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation. ECCV Workshops (6) 2018: 287-301 - [c68]Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao, Antonis A. Argyros, Vincent Lepetit, Tae-Kyun Kim:
HANDS18: Methods, Techniques and Applications for Hand Observation. ECCV Workshops (6) 2018: 302-312 - [c67]Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. ECCV Workshops (1) 2018: 589-600 - [c66]Caner Sahin, Tae-Kyun Kim:
Category-Level 6D Object Pose Recovery in Depth Images. ECCV Workshops (1) 2018: 665-681 - [c65]Qi Ye, Tae-Kyun Kim:
Occlusion-Aware Hand Pose Estimation Using Hierarchical Mixture Density Network. ECCV (10) 2018: 817-834 - [i31]Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim:
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model. CoRR abs/1804.03675 (2018) - [i30]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation. CoRR abs/1805.04497 (2018) - [i29]Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim:
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. CoRR abs/1806.03891 (2018) - [i28]Caner Sahin, Tae-Kyun Kim:
Category-level 6D Object Pose Recovery in Depth Images. CoRR abs/1808.00255 (2018) - [i27]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. CoRR abs/1808.08319 (2018) - [i26]Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation. CoRR abs/1810.01845 (2018) - [i25]Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. CoRR abs/1810.03758 (2018) - [i24]Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao, Antonis A. Argyros, Vincent Lepetit, Tae-Kyun Kim:
HANDS18: Methods, Techniques and Applications for Hand Observation. CoRR abs/1810.10818 (2018) - [i23]Shanxin Yuan, Björn Stenger, Tae-Kyun Kim:
RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images. CoRR abs/1811.07376 (2018) - 2017
- [j28]Chourmouzios Tsiotsios, Andrew J. Davison, Tae-Kyun Kim:
Near-lighting Photometric Stereo for unknown scene distance and medium attenuation. Image Vis. Comput. 57: 44-57 (2017) - [j27]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
A learning-based variable size part extraction architecture for 6D object pose recovery in depth images. Image Vis. Comput. 63: 38-50 (2017) - [j26]Danhang Tang, Hyung Jin Chang, Alykhan Tejani, Tae-Kyun Kim:
Latent Regression Forest: Structured Estimation of 3D Hand Poses. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1374-1387 (2017) - [j25]Youngkyoon Jang, Ikbeom Jeon, Tae-Kyun Kim, Woontack Woo:
Metaphoric Hand Gestures for Orientation-Aware VR Object Manipulation With an Egocentric Viewpoint. IEEE Trans. Hum. Mach. Syst. 47(1): 113-127 (2017) - [c64]Seungryul Baek, Zhiyuan Shi, Masato Kawade, Tae-Kyun Kim:
Kinematic-Layout-aware Random Forests for Depth-based Action Recognition. BMVC 2017 - [c63]Guillermo Garcia-Hernando, Tae-Kyun Kim:
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection. CVPR 2017: 407-415 - [c62]Shanxin Yuan, Qi Ye, Björn Stenger, Siddhant Jain, Tae-Kyun Kim:
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis. CVPR 2017: 2605-2613 - [c61]Zhiyuan Shi, Tae-Kyun Kim:
Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences. CVPR 2017: 4684-4693 - [c60]Vassileios Balntas, Andreas Doumanoglou, Caner Sahin, Juil Sock, Rigas Kouskouridas, Tae-Kyun Kim:
Pose Guided RGBD Feature Learning for 3D Object Pose Estimation. ICCV 2017: 3876-3884 - [c59]Baris Gecer, Vassileios Balntas, Tae-Kyun Kim:
Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-Based Supervision. ICCV Workshops 2017: 1665-1672 - [c58]Juil Sock, S. Hamidreza Kasaei, Luís Seabra Lopes, Tae-Kyun Kim:
Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images. ICCV Workshops 2017: 2228-2235 - [c57]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Real-Time Online Action Detection Forests Using Spatio-Temporal Contexts. WACV 2017: 158-167 - [i22]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth. CoRR abs/1701.02166 (2017) - [i21]Zhiyuan Shi, Tae-Kyun Kim:
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences. CoRR abs/1703.09625 (2017) - [i20]Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim:
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations. CoRR abs/1704.02463 (2017) - [i19]Shanxin Yuan, Qi Ye, Björn Stenger, Siddhant Jain, Tae-Kyun Kim:
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis. CoRR abs/1704.02612 (2017) - [i18]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Deep Convolutional Decision Jungle for Image Classification. CoRR abs/1706.02003 (2017) - [i17]Caner Sahin, Tae-Kyun Kim:
Recovering 6D Object Pose: Multi-modal Analyses on Challenges. CoRR abs/1706.03285 (2017) - [i16]Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, Tae-Kyun Kim:
The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation. CoRR abs/1707.02237 (2017) - [i15]Baris Gecer, Vassileios Balntas, Tae-Kyun Kim:
Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-based Supervision. CoRR abs/1708.00277 (2017) - [i14]Qi Ye, Tae-Kyun Kim:
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network. CoRR abs/1711.10872 (2017) - [i13]Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim:
3D Hand Pose Estimation: From Current Achievements to Future Goals. CoRR abs/1712.03917 (2017) - 2016
- [j24]Hyung Jin Chang, Guillermo Garcia-Hernando, Danhang Tang, Tae-Kyun Kim:
Spatio-Temporal Hough Forest for efficient detection-localisation-recognition of fingerwriting in egocentric camera. Comput. Vis. Image Underst. 148: 87-96 (2016) - [j23]Chourmouzios Tsiotsios, Tae-Kyun Kim, Andrew J. Davison, Srinivasa G. Narasimhan:
Model effectiveness prediction and system adaptation for photometric stereo in murky water. Comput. Vis. Image Underst. 150: 126-138 (2016) - [j22]Mang Shao, Danhang Tang, Yang Liu, Tae-Kyun Kim:
A comparative study of video-based object recognition from an egocentric viewpoint. Neurocomputing 171: 982-990 (2016) - [j21]Krisada Chaiyasarn, Tae-Kyun Kim, Fabio Viola, Roberto Cipolla, Kenichi Soga:
Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion. J. Comput. Civ. Eng. 30(3) (2016) - [j20]Krisada Chaiyasarn, Tae-Kyun Kim, Fabio Viola, Roberto Cipolla, Kenichi Soga:
Errata for "Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion" by Krisada Chaiyasarn, Tae-Kyun Kim, Fabio Viola, Roberto Cipolla, and Kenichi Soga. J. Comput. Civ. Eng. 30(4) (2016) - [j19]Chao Xiong, Luoqi Liu, Xiaowei Zhao, Shuicheng Yan, Tae-Kyun Kim:
Convolutional Fusion Network for Face Verification in the Wild. IEEE Trans. Circuits Syst. Video Technol. 26(3): 517-528 (2016) - [j18]Andreas Doumanoglou, Jan Stria, Georgia Peleka, Ioannis Mariolis, Vladimír Petrík, Andreas Kargakos, Libor Wagner, Václav Hlavác, Tae-Kyun Kim, Sotiris Malassiotis:
Folding Clothes Autonomously: A Complete Pipeline. IEEE Trans. Robotics 32(6): 1461-1478 (2016) - [c56]Andreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis, Tae-Kyun Kim:
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd. CVPR 2016: 3583-3592 - [c55]Qi Ye, Shanxin Yuan, Tae-Kyun Kim:
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation. ECCV (8) 2016: 346-361 - [c54]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
Iterative Hough Forest with Histogram of Control Points for 6 DoF object registration from depth images. IROS 2016: 4113-4118 - [c53]Guillermo Garcia-Hernando, Hyung Jin Chang, Ismael Serrano, Oscar Déniz, Tae-Kyun Kim:
Transition Hough forest for trajectory-based action recognition. WACV 2016: 1-8 - [i12]Rigas Kouskouridas, Alykhan Tejani, Andreas Doumanoglou, Danhang Tang, Tae-Kyun Kim:
Latent-Class Hough Forests for 6 DoF Object Pose Estimation. CoRR abs/1602.01464 (2016) - [i11]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images. CoRR abs/1603.02617 (2016) - [i10]Qi Ye, Shanxin Yuan, Tae-Kyun Kim:
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation. CoRR abs/1604.03334 (2016) - [i9]Chourmouzios Tsiotsios, Maria E. Angelopoulou, Andrew J. Davison, Tae-Kyun Kim:
Effective Backscatter Approximation for Photometry in Murky Water. CoRR abs/1604.08789 (2016) - [i8]Yang Liu, Minh Hoai, Mang Shao, Tae-Kyun Kim:
Latent Bi-constraint SVM for Video-based Object Recognition. CoRR abs/1605.09452 (2016) - [i7]Andreas Doumanoglou, Vassileios Balntas, Rigas Kouskouridas, Tae-Kyun Kim:
Siamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose Estimation. CoRR abs/1607.02257 (2016) - [i6]Guillermo Garcia-Hernando, Tae-Kyun Kim:
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition. CoRR abs/1607.02737 (2016) - [i5]Seungryul Baek, Zhiyuan Shi, Masato Kawade, Tae-Kyun Kim:
Kinematic-aware random forest for static and dynamic action recognition from depth sequences. CoRR abs/1607.06972 (2016) - [i4]Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Real-time Online Action Detection Forests using Spatio-temporal Contexts. CoRR abs/1610.09334 (2016) - 2015
- [j17]Kyuhwa Lee, Dimitri Ognibene, Hyung Jin Chang, Tae-Kyun Kim, Yiannis Demiris:
STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection. IEEE Trans. Image Process. 24(12): 5916-5927 (2015) - [j16]Youngkyoon Jang, Seungtak Noh, Hyung Jin Chang, Tae-Kyun Kim, Woontack Woo:
3D Finger CAPE: Clicking Action and Position Estimation under Self-Occlusions in Egocentric Viewpoint. IEEE Trans. Vis. Comput. Graph. 21(4): 501-510 (2015) - [c52]Wenhan Luo, Björn Stenger, Xiaowei Zhao, Tae-Kyun Kim:
Automatic Topic Discovery for Multi-Object Tracking. AAAI 2015: 3820-3826 - [c51]Yang Liu, Rigas Kouskouridas, Tae-Kyun Kim:
Video-based object recognition with weakly supervised object localization. ACPR 2015: 46-50 - [c50]Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton:
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose. ICCV 2015: 3325-3333 - [c49]Chao Xiong, Xiaowei Zhao, Danhang Tang, Jayashree Karlekar, Shuicheng Yan, Tae-Kyun Kim:
Conditional Convolutional Neural Network for Modality-Aware Face Recognition. ICCV 2015: 3667-3675 - [i3]Andreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis, Tae-Kyun Kim:
6D Object Detection and Next-Best-View Prediction in the Crowd. CoRR abs/1512.07506 (2015) - 2014
- [j15]Chao Xiong, Guangyu Gao, Zheng-Jun Zha, Shuicheng Yan, Huadong Ma, Tae-Kyun Kim:
Adaptive Learning for Celebrity Identification With Video Context. IEEE Trans. Multim. 16(5): 1473-1485 (2014) - [c48]Yang Liu, Youngkyoon Jang, Woontack Woo, Tae-Kyun Kim:
Video-Based Object Recognition Using Novel Set-of-Sets Representations. CVPR Workshops 2014: 533-540 - [c47]Wenhan Luo, Tae-Kyun Kim, Björn Stenger, Xiaowei Zhao, Roberto Cipolla:
Bi-label Propagation for Generic Multiple Object Tracking. CVPR 2014: 1290-1297 - [c46]Xiaowei Zhao, Tae-Kyun Kim, Wenhan Luo:
Unified Face Analysis by Iterative Multi-output Random Forests. CVPR 2014: 1765-1772 - [c45]Chourmouzios Tsiotsios, Maria E. Angelopoulou, Tae-Kyun Kim, Andrew J. Davison:
Backscatter Compensated Photometric Stereo with 3 Sources. CVPR 2014: 2259-2266 - [c44]Danhang Tang, Hyung Jin Chang, Alykhan Tejani, Tae-Kyun Kim:
Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture. CVPR 2014: 3786-3793 - [c43]Alykhan Tejani, Danhang Tang, Rigas Kouskouridas, Tae-Kyun Kim:
Latent-Class Hough Forests for 3D Object Detection and Pose Estimation. ECCV (6) 2014: 462-477 - [c42]Andreas Doumanoglou, Tae-Kyun Kim, Xiaowei Zhao, Sotiris Malassiotis:
Active Random Forests: An Application to Autonomous Unfolding of Clothes. ECCV (5) 2014: 644-658 - [c41]Wai Lam Hoo, Tae-Kyun Kim, Yuru Pei, Chee Seng Chan:
Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding. ICPR 2014: 3434-3439 - [c40]Andreas Doumanoglou, Andreas Kargakos, Tae-Kyun Kim, Sotiris Malassiotis:
Autonomous active recognition and unfolding of clothes using random decision forests and probabilistic planning. ICRA 2014: 987-993 - [c39]Oscar Déniz, Ismael Serrano, Gloria Bueno García, Tae-Kyun Kim:
Fast Violence Detection in Video. VISAPP (2) 2014: 478-485 - [i2]Wenhan Luo, Xiaowei Zhao, Tae-Kyun Kim:
Multiple Object Tracking: A Review. CoRR abs/1409.7618 (2014) - [i1]Wai Lam Hoo, Tae-Kyun Kim, Yuru Pei, Chee Seng Chan:
Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding. CoRR abs/1410.3752 (2014) - 2013
- [j14]Kyuhwa Lee, Yanyu Su, Tae-Kyun Kim, Yiannis Demiris:
A syntactic approach to robot imitation learning using probabilistic activity grammars. Robotics Auton. Syst. 61(12): 1323-1334 (2013) - [c38]Wenhan Luo, Tae-Kyun Kim:
Generic Object Crowd Tracking by Multi-Task Learning. BMVC 2013 - [c37]Tsz-Ho Yu, Tae-Kyun Kim, Roberto Cipolla:
Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest. CVPR 2013: 3642-3649 - [c36]Yuru Pei, Tae-Kyun Kim, Hongbin Zha:
Unsupervised Random Forest Manifold Alignment for Lipreading. ICCV 2013: 129-136 - [c35]Danhang Tang, Tsz-Ho Yu, Tae-Kyun Kim:
Real-Time Articulated Hand Pose Estimation Using Semi-supervised Transductive Regression Forests. ICCV 2013: 3224-3231 - [c34]Tae-Kyun Kim, Wonjong Kim, Minyeon Cha, Ickjin Kwon:
A harmonic rejection mixer for cognitive radio application. ICUIMC 2013: 33 - [p1]Tae-Kyun Kim, Roberto Cipolla:
Multiple Classifier Boosting and Tree-Structured Classifiers. Machine Learning for Computer Vision 2013: 163-196 - 2012
- [j13]Tae-Kyun Kim, Ignas Budvytis, Roberto Cipolla:
Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation. Int. J. Comput. Vis. 100(2): 203-215 (2012) - [c33]Danhang Tang, Yang Liu, Tae-Kyun Kim:
Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates. BMVC 2012: 1-11 - [c32]Chao Xiong, Tae-Kyun Kim:
Set-based label propagation of face images. ICIP 2012: 1433-1436 - [c31]Kyuhwa Lee, Tae-Kyun Kim, Yiannis Demiris:
Learning action symbols for hierarchical grammar induction. ICPR 2012: 3778-3782 - [c30]Kyuhwa Lee, Tae-Kyun Kim, Yiannis Demiris:
Learning reusable task components using hierarchical activity grammars with uncertainties. ICRA 2012: 1994-1999 - 2011
- [j12]Tae-Kyun Kim, Björn Stenger, Josef Kittler, Roberto Cipolla:
Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications. Int. J. Comput. Vis. 91(2): 216-232 (2011) - [c29]Yu Chen, Tae-Kyun Kim, Roberto Cipolla:
Silhouette-based object phenotype recognition using 3D shape priors. ICCV 2011: 25-32 - [c28]Dongjin Oh, Minyeon Cha, Tae-Kyun Kim, Ickjin Kwon:
A fully integrated low-power 5-GHz CMOS RF receiver for WLAN applications. ICUIMC 2011: 74 - 2010
- [j11]Tae-Kyun Kim, Josef Kittler, Roberto Cipolla:
On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets. IEEE Trans. Image Process. 19(4): 1067-1074 (2010) - [c27]Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan:
Randomised Manifold Forests for Principal Angle-Based Face Recognition. ACCV (4) 2010: 228-242 - [c26]Tae-Kyun Kim, Ignas Budvytis, Roberto Cipolla:
Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier. BMVC 2010: 1-11 - [c25]Tsz-Ho Yu, Tae-Kyun Kim, Roberto Cipolla:
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests. BMVC 2010: 1-12 - [c24]Tae-Kyun Kim, Thomas Woodley, Björn Stenger, Roberto Cipolla:
Online multiple classifier boosting for object tracking. CVPR Workshops 2010: 1-6 - [c23]Yu Chen, Tae-Kyun Kim, Roberto Cipolla:
Inferring 3D Shapes and Deformations from Single Views. ECCV (3) 2010: 300-313
2000 – 2009
- 2009
- [j10]Tae-Kyun Kim, Roberto Cipolla:
Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1415-1428 (2009) - [c22]Björn Stenger, Thomas Woodley, Tae-Kyun Kim, Roberto Cipolla:
A vision-based system for display interaction. BCS HCI 2009: 163-168 - [c21]Xing Liu, Vaithianathan Mani Venkatasubramanian, Tae-Kyun Kim:
Automatic Voltage Controllers for South Korean Power System. HICSS 2009: 1-9 - [c20]Krisada Chaiyasarn, Tae-Kyun Kim, Fabio Viola, Roberto Cipolla, Kenichi Soga:
Image mosaicing via quadric surface estimation with priors for tunnel inspection. ICIP 2009: 537-540 - [c19]Navid Mavaddat, Tae-Kyun Kim, Roberto Cipolla:
Design and Evaluation of Features That Best Define Text in Complex Scene Images. MVA 2009: 94-97 - 2008
- [c18]Björn Stenger, Thomas Woodley, Tae-Kyun Kim, Carlos Hernández, Roberto Cipolla:
AIDIA - Adaptive Interface for Display InterAction. BMVC 2008: 1-10 - [c17]Tae-Kyun Kim, Roberto Cipolla:
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features. NIPS 2008: 841-856 - 2007
- [j9]Tae-Kyun Kim, Josef Kittler, Roberto Cipolla:
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 1005-1018 (2007) - [j8]Tae-Kyun Kim, Ognjen Arandjelovic, Roberto Cipolla:
Boosted manifold principal angles for image set-based recognition. Pattern Recognit. 40(9): 2475-2484 (2007) - [c16]Tae-Kyun Kim, Roberto Cipolla:
Gesture Recognition Under Small Sample Size. ACCV (1) 2007: 335-344 - [c15]Tae-Kyun Kim, Shu-Fai Wong, Roberto Cipolla:
Tensor Canonical Correlation Analysis for Action Classification. CVPR 2007 - [c14]Tae-Kyun Kim, Shu-Fai Wong, Björn Stenger, Josef Kittler, Roberto Cipolla:
Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations. CVPR 2007 - [c13]Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla:
Learning Motion Categories using both Semantic and Structural Information. CVPR 2007 - 2006
- [j7]Tae-Kyun Kim, Josef Kittler:
Design and Fusion of Pose-Invariant Face-Identification Experts. IEEE Trans. Circuits Syst. Video Technol. 16(9): 1096-1106 (2006) - [c12]Tae-Kyun Kim, Josef Kittler, Roberto Cipolla:
Incremental Learning of Locally Orthogonal Subspaces for Set-based Object Recognition. BMVC 2006: 559-568 - [c11]Tae-Kyun Kim, Josef Kittler, Roberto Cipolla:
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets. ECCV (3) 2006: 251-262 - 2005
- [j6]Tae-Kyun Kim, Josef Kittler:
Composite Support Vector Machines with Extended Discriminative Features for Accurate Face Detection. IEICE Trans. Inf. Syst. 88-D(10): 2373-2379 (2005) - [j5]Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Josef Kittler:
Component-based LDA face description for image retrieval and MPEG-7 standardisation. Image Vis. Comput. 23(7): 631-642 (2005) - [j4]Tae-Kyun Kim, Josef Kittler:
Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 318-327 (2005) - [c10]Tae-Kyun Kim, Ognjen Arandjelovic, Roberto Cipolla:
Learning over Sets using Boosted Manifold Principal Angles (BoMPA). BMVC 2005 - 2004
- [j3]Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Josef Kittler:
Independent component analysis in a local facial residue space for face recognition. Pattern Recognit. 37(9): 1873-1885 (2004) - [c9]Tae-Kyun Kim, Josef Kittler:
Combining Classifier for Face Identification at Unknown Views with a Single Model Image. SSPR/SPR 2004: 565-573 - 2003
- [c8]Tae-Kyun Kim, Josef Kittler, Hyun-Chul Kim, Seok-Cheol Kee:
Discriminant Analysis by Locally Linear Transformations. BMVC 2003: 1-10 - [c7]Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheol Kee, Josef Kittler:
Independent Component Analysis in a Facial Local Residue Space. CVPR (1) 2003: 579-586 - [c6]Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheol Kee, Josef Kittler:
Face description based on decomposition and combining of a facial space with LDA. ICIP (3) 2003: 877-880 - 2002
- [c5]Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheol Kee, Jong Ha Lee:
Component-based LDA Face Descriptor for Image Retrieval. BMVC 2002: 1-10 - [c4]Peter V. Bazanov, Tae-Kyun Kim, Seok-Cheol Kee, Sang Uk Lee:
Hybrid and parallel face classifier based on artificial neural networks and principal component analysis. ICIP (1) 2002: 916-919 - [c3]Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim:
Learning a decision boundary for face detection. ICIP (1) 2002: 920-923 - [c2]Tae-Kyun Kim, Sung-Uk Lee, Jong Ha Lee, Seok-Cheol Kee, Sang Ryong Kim:
Integrated Approach of Multiple Face Detection for Video Surveillance. ICPR (2) 2002: 394-397 - [c1]Young Hoon Sung, Tae-Kyun Kim, Seok-Cheol Kee:
Hierarchical Combination of Face/Non-face Classifiers Based on Gabor Wavelet and Support Vector Machines. MVA 2002: 120-123
1990 – 1999
- 1995
- [j2]Eun Joo Rhee, Tae-Kyun Kim, Masayuki Nakajima:
On-line Recognition of Cursive Hangul by DP Matching with Structural Information. IEICE Trans. Inf. Syst. 78-D(8): 1065-1073 (1995)
1970 – 1979
- 1979
- [j1]Takeshi Agui, Masayuki Nakajima, Tae-Kyun Kim, Eduardo T. Takahashi:
A Method of Recognition and Representation of Korean Characters by Tree Grammars. IEEE Trans. Pattern Anal. Mach. Intell. 1(3): 245-251 (1979)
Coauthor Index
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