| Latent regression forest: Structured estimation of 3d articulated hand posture D Tang, H Jin Chang, A Tejani, TK Kim Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 428 | 2014 |
| 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 | 299 | 2014 |
| 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 | 283 | 2013 |
| Opening the black box: Hierarchical sampling optimization for estimating human hand pose D Tang, J Taylor, P Kohli, C Keskin, TK Kim, J Shotton Proceedings of the IEEE international conference on computer vision, 3325-3333, 2015 | 159 | 2015 |
| The relightables: Volumetric performance capture of humans with realistic relighting K Guo, P Lincoln, P Davidson, J Busch, X Yu, M Whalen, G Harvey, ... ACM Transactions on Graphics (ToG) 38 (6), 1-19, 2019 | 152 | 2019 |
| Articulated distance fields for ultra-fast tracking of hands interacting J Taylor, V Tankovich, D Tang, C Keskin, D Kim, P Davidson, A Kowdle, ... ACM Transactions on Graphics (TOG) 36 (6), 1-12, 2017 | 97 | 2017 |
| Conditional convolutional neural network for modality-aware face recognition C Xiong, X Zhao, D Tang, K Jayashree, S Yan, TK Kim Proceedings of the IEEE International Conference on Computer Vision, 3667-3675, 2015 | 94 | 2015 |
| Latent-class hough forests for 6 DoF object pose estimation A Tejani, R Kouskouridas, A Doumanoglou, D Tang, TK Kim IEEE transactions on pattern analysis and machine intelligence 40 (1), 119-132, 2017 | 56 | 2017 |
| Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates. D Tang, Y Liu, TK Kim BMVC 1 (4), 5, 2012 | 56 | 2012 |
| Latent regression forest: structured estimation of 3d hand poses D Tang, HJ Chang, A Tejani, TK Kim IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1374-1387, 2016 | 45 | 2016 |
| Spatio-temporal hough forest for efficient detection–localisation–recognition of fingerwriting in egocentric camera HJ Chang, G Garcia-Hernando, D Tang, TK Kim Computer Vision and Image Understanding 148, 87-96, 2016 | 37 | 2016 |
| The need 4 speed in real-time dense visual tracking A Kowdle, C Rhemann, S Fanello, A Tagliasacchi, J Taylor, P Davidson, ... ACM Transactions on Graphics (TOG) 37 (6), 1-14, 2018 | 34 | 2018 |
| Deep implicit volume compression D Tang, S Singh, PA Chou, C Hane, M Dou, S Fanello, J Taylor, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 26 | 2020 |
| Real-time compression and streaming of 4D performances D Tang, M Dou, P Lincoln, P Davidson, K Guo, J Taylor, S Fanello, ... SIGGRAPH Asia 2018 Technical Papers, 256, 2018 | 21 | 2018 |
| Multiresolution deep implicit functions for 3d shape representation Z Chen, Y Zhang, K Genova, S Fanello, S Bouaziz, C Häne, R Du, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
| Opening the black box: Hierarchical sampling optimization for hand pose estimation D Tang, Q Ye, S Yuan, J Taylor, P Kohli, C Keskin, TK Kim, J Shotton IEEE transactions on pattern analysis and machine intelligence 41 (9), 2161-2175, 2018 | 12 | 2018 |
| Latent-class hough forests for 6 dof object pose estimation R Kouskouridas, A Tejani, A Doumanoglou, D Tang, TK Kim arXiv preprint arXiv:1602.01464, 2016 | 9 | 2016 |
| System and method for active stereo depth sensing APM Kowdle, V Tankovich, D Tang, C Keskin, JJ Taylor, PL Davidson, ... US Patent 10,839,539, 2020 | 8 | 2020 |
| Humangps: Geodesic preserving feature for dense human correspondences F Tan, D Tang, M Dou, K Guo, R Pandey, C Keskin, R Du, D Sun, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| Estimator training method and pose estimating method using depth image JJ Han, D Tang, TK Kim, SJ Han, BI Yoo, CK Choi, A Tejani, HJ Chang US Patent 9,449,392, 2016 | 7 | 2016 |
Tae-Kyun (T-K) KimKAIST, Imperial College LondonBestätigte E-Mail-Adresse bei kaist.ac.kr
