| 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 | 490 | 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 | 347 | 2014 |
| 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 | 319 | 2019 |
| 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 | 288 | 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 | 169 | 2015 |
| 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 | 137 | 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 | 113 | 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 | 70 | 2017 |
| Density-preserving deep point cloud compression Y He, X Ren, D Tang, Y Zhang, X Xue, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 56 | 2022 |
| 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 | 56 | 2016 |
| Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates. D Tang, Y Liu, TK Kim BMVC, 1-11, 2012 | 55 | 2012 |
| 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 | 48 | 2021 |
| 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 | 48 | 2020 |
| 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 | 43 | 2018 |
| Grad-pu: Arbitrary-scale point cloud upsampling via gradient descent with learned distance functions Y He, D Tang, Y Zhang, X Xue, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
| PRIF: Primary ray-based implicit function BY Feng, Y Zhang, D Tang, R Du, A Varshney European Conference on Computer Vision, 138-155, 2022 | 42 | 2022 |
| 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 | 40 | 2016 |
| Ruofei Du, and Amitabh Varshney." Y Feng, YZ Brandon, D Tang PRIF: Primary Ray-based Implicit Function." arXiv e-prints, 2022 | 39 | 2022 |
| 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 | 36 | 2018 |
| Gaussianflow: Splatting gaussian dynamics for 4d content creation Q Gao, Q Xu, Z Cao, B Mildenhall, W Ma, L Chen, D Tang, U Neumann arXiv preprint arXiv:2403.12365, 2024 | 33 | 2024 |
Tae-Kyun (T-K) KimKAISTGeverifieerd e-mailadres voor kaist.ac.kr
