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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]