Подписаться
Tae-Kyun (T-K) Kim
Tae-Kyun (T-K) Kim
KAIST, Imperial College London
Подтвержден адрес электронной почты в домене kaist.ac.kr - Главная страница
Название
Процитировано
Процитировано
Год
Multiple object tracking: A literature review
W Luo, J Xing, A Milan, X Zhang, W Liu, X Zhao, TK Kim
Journal of Artificial Intelligence, 2021
9402021
Discriminative learning and recognition of image set classes using canonical correlations
TK Kim, J Kittler, R Cipolla
IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (6), 1005-1018, 2007
7422007
First-person hand action benchmark with RGB-D videos and 3D hand pose annotations
G Garcia-Hernando, S Yuan, S Baek, TK Kim
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt …, 2018
5122018
Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture
D Tang, HJ Chang, A Tejani, TK Kim
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014
4672014
Tensor canonical correlation analysis for action classification
TK Kim, SF Wong, R Cipolla
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
4572007
BOP: Benchmark for 6D Object Pose Estimation
T Hodan, F Michel, E Brachmann, W Kehl, A Glent Buch, D Kraft, B Drost, ...
Proc. of European Conf. on Computer Vision (ECCV), Munich, Germany, 2018
4302018
Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image
TK Kim, J Kittler
IEEE transactions on pattern analysis and machine intelligence 27 (3), 318-327, 2005
3852005
Canonical correlation analysis of video volume tensors for action categorization and detection
TK Kim, R Cipolla
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (8), 1415-1428, 2009
3652009
Canonical correlation analysis of video volume tensors for action categorization and detection
TK Kim, R Cipolla
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (8), 1415-1428, 2008
3652008
Latent-class hough forests for 3d object detection and pose estimation
A Tejani, D Tang, R Kouskouridas, TK Kim
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
3292014
Real-time articulated hand pose estimation using semi-supervised transductive regression forests
D Tang, TH Yu, TK Kim
Proceedings of the IEEE international conference on computer vision, 3224-3231, 2013
2862013
Learning motion categories using both semantic and structural information
SF Wong, TK Kim, R Cipolla
Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 1-6, 2007
2862007
Bighand2. 2m benchmark: Hand pose dataset and state of the art analysis
S Yuan, Q Ye, B Stenger, S Jain, TK Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2832017
Depth-based 3d hand pose estimation: From current achievements to future goals
S Yuan, G Garcia-Hernando, B Stenger, G Moon, JY Chang, KM Lee, ...
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt …, 2018
2632018
Recovering 6D object pose and predicting next-best-view in the crowd
A Doumanoglou, R Kouskouridas, S Malassiotis, TK Kim
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2482016
Recovering 6D object pose and predicting next-best-view in the crowd
A Doumanoglou, R Kouskouridas, S Malassiotis, TK Kim
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2482016
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering
S Baek, KI Kim, TK Kim
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2212019
Spatial attention deep net with partial pso for hierarchical hybrid hand pose estimation
Q Ye, S Yuan, TK Kim
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
1782016
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests.
TH Yu, TK Kim, R Cipolla
BMVC 2 (5), 6, 2010
1782010
Fast violence detection in video
O Deniz, I Serrano, G Bueno, TK Kim
2014 international conference on computer vision theory and applications …, 2014
1752014
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20