| Part-Stacked CNN for Fine-Grained Visual Categorization S Huang, Z Xu, D Tao, Y Zhang CVPR, pp. 1173-1182, 2016 | 566 | 2016 |
| A coarse-fine network for keypoint localization S Huang, M Gong, D Tao ICCV, 3028-3037, 2017 | 224 | 2017 |
| Learning a mixture of granularity-specific experts for fine-grained categorization L Zhang, S Huang, W Liu, D Tao ICCV, 8331-8340, 2019 | 208 | 2019 |
| Context refinement for object detection Z Chen, S Huang, D Tao ECCV, 71-86, 2018 | 142 | 2018 |
| SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data S Huang, X Wang, D Tao AAAI 35 (2), 1628-1636, 2021 | 125 | 2021 |
| Webly-supervised Fine-grained Visual Categorization via Deep Domain Adaptation Z Xu, S Huang, Y Zhang, D Tao TPAMI, 2016 | 120 | 2016 |
| Augmenting strong supervision using web data for fine-grained categorization Z Xu, S Huang, Y Zhang, D Tao ICCV, 2524-2532, 2015 | 101 | 2015 |
| Not all parts are created equal: 3d pose estimation by modeling bi-directional dependencies of body parts J Wang, S Huang, X Wang, D Tao ICCV, 7771-7780, 2019 | 73 | 2019 |
| Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition S Huang, X Wang, D Tao ICCV, 620-629, 2021 | 58 | 2021 |
| Acr: Attention collaboration-based regressor for arbitrary two-hand reconstruction Z Yu, S Huang, C Fang, TP Breckon, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
| FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning W Xuan, S Huang, J Liu, B Du Neural Networks 145, 248-259, 2022 | 40 | 2022 |
| Friend or foe: Fine-grained categorization with weak supervision Z Xu, D Tao, S Huang, Y Zhang TIP 26 (1), 135-146, 2016 | 40 | 2016 |
| Skinned motion retargeting with residual perception of motion semantics & geometry J Zhang, J Weng, D Kang, F Zhao, S Huang, X Zhe, L Bao, Y Shan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 38 | 2023 |
| Towards hard-positive query mining for detr-based human-object interaction detection X Zhong, C Ding, Z Li, S Huang European Conference on Computer Vision, 444-460, 2022 | 36 | 2022 |
| Geometric structure preserving warp for natural image stitching P Du, J Ning, J Cui, S Huang, X Wang, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Intra-class part swapping for fine-grained image classification L Zhang, S Huang, W Liu WACV, 3209-3218, 2021 | 33 | 2021 |
| Learning multi-level weight-centric features for few-shot learning M Liang, S Huang, S Pan, M Gong, W Liu Pattern Recognition 128, 108662, 2022 | 27* | 2022 |
| Multi-criteria selection of rehearsal samples for continual learning C Zhuang, S Huang, G Cheng, J Ning Pattern Recognition 132, 108907, 2022 | 26 | 2022 |
| An end-to-end framework for unconstrained monocular 3D hand pose estimation S Sharma, S Huang Pattern Recognition 115, 107892, 2021 | 23 | 2021 |
| Learning sequentially diversified representations for fine-grained categorization L Zhang, S Huang, W Liu Pattern Recognition 121, 108219, 2022 | 22 | 2022 |