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2020 – today
- 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)- [c114]Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim:
Multivariate Probabilistic Monocular 3D Object Detection. WACV 2023: 4270-4279 - [c113]Pedro Castro, Tae-Kyun Kim:
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers. WACV 2023: 5735-5744 - [i70]Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim:
MoBYv2AL: Self-supervised Active Learning for Image Classification. CoRR abs/2301.01531 (2023) - [i69]Jihyun Lee, Minhyuk Sung, Honggyu Choi, Tae-Kyun Kim:
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes. CoRR abs/2302.14348 (2023) - [i68]Junbong Jang, Kwonmoo Lee, Tae-Kyun Kim:
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses. CoRR abs/2303.08364 (2023) - [i67]Pedro Castro, Tae-Kyun Kim:
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching. CoRR abs/2304.01382 (2023) - [i66]Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim:
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning. CoRR abs/2304.13819 (2023) - [i65]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) - 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) - [c112]Honggyu Choi, Zhixiang Chen, Xuepeng Shi, Tae-Kyun Kim:
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty. BMVC 2022: 405 - [c111]Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim:
MoBYv2AL: Self-supervised Active Learning for Image Classification. BMVC 2022: 674 - [c110]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 - [c109]Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. ICPR 2022: 2914-2920 - [c108]Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim:
Modular Adaptive Policy Selection for Multi- Task Imitation Learning through Task Division. ICRA 2022: 2459-2465 - [c107]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 - [c106]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) - [c105]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 - [c104]Jihyun Lee, Binod Bhattarai, Tae-Kyun Kim:
Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning. CVPR Workshops 2021: 1501-1510 - [c103]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Sequential Graph Convolutional Network for Active Learning. CVPR 2021: 9583-9592 - [c102]Zhixiang Chen, Tae-Kyun Kim:
Learning Feature Aggregation for Deep 3D Morphable Models. CVPR 2021: 13164-13173 - [c101]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 - [c100]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 - [c99]Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim:
Adversarial Imitation Learning with Trajectorial Augmentation and Correction. ICRA 2021: 4724-4730 - [c98]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. WACV 2021: 2391-2400 - [c97]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) - [c96]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 - [c95]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 - [c94]Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim:
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network. ACCV (4) 2020: 608-623 - [c93]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 - [c92]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 - [c91]Binod Bhattarai, Tae-Kyun Kim:
Inducing Optimal Attribute Representations for Conditional GANs. ECCV (7) 2020: 69-85 - [c90]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 - [c89]Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim:
Distance-Normalized Unified Representation for Monocular 3D Object Detection. ECCV (29) 2020: 91-107 - [c88]Woobin Im, Tae-Kyun Kim, Sung-Eui Yoon:
Unsupervised Learning of Optical Flow with Deep Feature Similarity. ECCV (24) 2020: 172-188 - [c87]Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. ICASSP 2020: 2303-2307 - [c86]Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. ICASSP 2020: 2308-2312 - [c85]Pedro Castro, Anil Armagan, Tae-Kyun Kim:
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction. ICASSP 2020: 4147-4151 - [c84]Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim:
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. IROS 2020: 9561-9568 - [c83]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 - [c82]Gabyong Park, Tae-Kyun Kim, Woontack Woo:
3D Hand Pose Estimation with a Single Infrared Camera via Domain Transfer Learning. ISMAR 2020: 588-599 - [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]