| See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification T Hu, H Qi, Q Huang, Y Lu arXiv preprint arXiv:1901.09891, 2019 | 326 | 2019 |
| UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring S Lyu, MC Chang, D Du, L Wen, H Qi, Y Li, Y Wei, L Ke, T Hu, M Del Coco, ... 2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 159 | 2017 |
| Efficientnerf efficient neural radiance fields T Hu, S Liu, Y Chen, T Shen, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 156 | 2022 |
| The visual object tracking VOT2016 challenge results G Roffo, S Melzi Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 140 | 2016 |
| Self-supervised 3d mesh reconstruction from single images T Hu, L Wang, X Xu, S Liu, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 58 | 2021 |
| Ref-neus: Ambiguity-reduced neural implicit surface learning for multi-view reconstruction with reflection W Ge, T Hu, H Zhao, S Liu, YC Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 52 | 2023 |
| Nerflix: High-quality neural view synthesis by learning a degradation-driven inter-viewpoint mixer K Zhou, W Li, Y Wang, T Hu, N Jiang, X Han, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Weakly supervised bilinear attention network for fine-grained visual classification T Hu, J Xu, C Huang, H Qi, Q Huang, Y Lu arXiv preprint arXiv:1808.02152, 2018 | 25 | 2018 |
| Trivol: Point cloud rendering via triple volumes T Hu, X Xu, R Chu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Point2pix: Photo-realistic point cloud rendering via neural radiance fields T Hu, X Xu, S Liu, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 17 | 2023 |
| The thermal infrared visual object tracking VOT-TIR2016 challenge result K Lebeda, SJ Hadfield, R Bowden Proceedings, European Conference on Computer Vision (ECCV) workshops, 2016 | 17 | 2016 |
| Facial landmarks detection by self-iterative regression based landmarks-attention network T Hu, H Qi, J Xu, Q Huang Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 10 | 2018 |
| Self-supervised learning by view synthesis S Liu, X Zhang, T Hu, J Jia arXiv preprint arXiv:2304.11330, 2023 | 1 | 2023 |
| X-ray: A sequential 3d representation for generation T Hu, W Ge, Y Zhao, GH Lee Advances in Neural Information Processing Systems 37, 136193-136219, 2024 | | 2024 |
| Efficient 3D Object and Scene Reconstruction via Neural Rendering T Hu PQDT-Global, 2023 | | 2023 |
| The visual object tracking VOT2016 challenge results E Gündoğdu, AA Alatan | | 2016 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKBestätigte E-Mail-Adresse bei cse.ust.hk
