| Context contrasted feature and gated multi-scale aggregation for scene segmentation H Ding, X Jiang, B Shuai, AQ Liu, G Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2393-2402, 2018 | 419 | 2018 |
| Boundary-aware feature propagation for scene segmentation H Ding, X Jiang, AQ Liu, N Magnenat-Thalmann, G Wang IEEE/CVF International Conference on Computer Vision (ICCV), 6818-6828, 2019 | 266 | 2019 |
| Vision-Language Transformer and Query Generation for Referring Segmentation H Ding, C Liu, S Wang, X Jiang IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 207 | 2021 |
| Semantic correlation promoted shape-variant context for segmentation H Ding, X Jiang, B Shuai, AQ Liu, G Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8885-8894, 2019 | 200 | 2019 |
| Semantic Segmentation with Context Encoding and Multi-Path Decoding H Ding, X Jiang, B Shuai, AQ Liu, G Wang IEEE Transactions on Image Processing (TIP), 2020 | 150 | 2020 |
| MINE: Towards continuous depth mpi with nerf for novel view synthesis J Li, Z Feng, Q She, H Ding, C Wang, GH Lee IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 144 | 2021 |
| Feature boosting network for 3D pose estimation J Liu, H Ding, A Shahroudy, LY Duan, X Jiang, G Wang, AK Chichung IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 | 132 | 2020 |
| VLT: Vision-Language Transformer and Query Generation for Referring Segmentation H Ding, C Liu, S Wang, X Jiang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 91 | 2023 |
| Recovering the Unbiased Scene Graphs from the Biased Ones MJ Chiou, H Ding, H Yan, C Wang, R Zimmermann, J Feng Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021 | 91 | 2021 |
| GRES: Generalized Referring Expression Segmentation C Liu, H Ding, X Jiang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 84 | 2023 |
| Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging Y Cai, J Lin, H Wang, X Yuan, H Ding, Y Zhang, R Timofte, L Van Gool Advances in Neural Information Processing Systems (NeurIPS), 2022 | 80 | 2022 |
| Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation X Wang, X Jiang, H Ding, J Liu IEEE Transactions on Image Processing (TIP), 2019 | 77 | 2019 |
| MOSE: A New Dataset for Video Object Segmentation in Complex Scenes H Ding, C Liu, S He, X Jiang, PHS Torr, S Bai IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 75 | 2023 |
| Toward achieving robust low-level and high-level scene parsing B Shuai*, H Ding*, T Liu, G Wang, X Jiang IEEE Transactions on Image Processing (TIP) 28 (3), 1378-1390, 2018 | 73* | 2018 |
| Prototypical matching and open set rejection for zero-shot semantic segmentation H Zhang, H Ding IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 70 | 2021 |
| A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder Y Cai, Y Wang, Y Zhu, TJ Cham, J Cai, J Yuan, J Liu, C Zheng, S Yan, ... IEEE/CVF International Conference on Computer Vision (ICCV), 11645-11655, 2021 | 61 | 2021 |
| A Closer Look at Few-shot Image Generation Y Zhao, H Ding, H Huang, NM Cheung IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 59 | 2022 |
| Towards open vocabulary learning: A survey J Wu, X Li, S Xu, H Yuan, H Ding, Y Yang, X Li, J Zhang, Y Tong, X Jiang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 57 | 2024 |
| Transformer-based visual segmentation: A survey X Li, H Ding, H Yuan, W Zhang, J Pang, G Cheng, K Chen, Z Liu, CC Loy arXiv preprint arXiv:2304.09854, 2023 | 56 | 2023 |
| Directed Graph Contrastive Learning Z Tong, Y Liang, H Ding, Y Dai, X Li, C Wang Advances in Neural Information Processing Systems (NeurIPS), 2021 | 55 | 2021 |
Xudong JiangIEEE Fellow, Nanyang Technological University, Singapore在 ntu.edu.sg 的电子邮件经过验证
