| CCNet: Criss-cross attention for semantic segmentation Z Huang, X Wang, Y Wei, L Huang, H Shi, W Liu, TS Huang ICCV 2019 & TPAMI, 2020 | 3365 | 2020 |
| Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing Z Huang, X Wang, J Wang, W Liu, J Wang CVPR 2018, 7014-7023, 2018 | 681 | 2018 |
| Depth anything: Unleashing the power of large-scale unlabeled data L Yang, B Kang, Z Huang, X Xu, J Feng, H Zhao CVPR 2024, 2024 | 432 | 2024 |
| Executing your Commands via Motion Diffusion in Latent Space X Chen, B Jiang, W Liu, Z Huang, B Fu, T Chen, J Yu, G Yu CVPR 2023, 2023 | 277 | 2023 |
| Devil in the Details: Towards Accurate Single and Multiple Human Parsing T Liu, T Ruan, Z Huang, Y Wei, S Wei, Y Zhao, T Huang AAAI 2019, 2019 | 277* | 2019 |
| TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation W Zhang*, Z Huang*, G Luo, T Chen, X Wang, W Liu, G Yu, C Shen CVPR 2022, 2022 | 236 | 2022 |
| Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis MT Chiu, X Xu, Y Wei, Z Huang, A Schwing, R Brunner, H Khachatrian, ... CVPR 2020, 2020 | 217 | 2020 |
| Shuffle transformer: Rethinking spatial shuffle for vision transformer Z Huang, Y Ben, G Luo, P Cheng, G Yu, B Fu arXiv preprint arXiv:2106.03650, 2021 | 210 | 2021 |
| Alignseg: Feature-aligned segmentation networks Z Huang, Y Wei, X Wang, H Shi, W Liu, TS Huang TPAMI, 2021 | 165 | 2021 |
| SPGNet: Semantic Prediction Guidance for Scene Parsing B Cheng, LC Chen, Y Wei, Y Zhu, Z Huang, J Xiong, T Huang, WM Hwu, ... ICCV 2019, 2019 | 138 | 2019 |
| SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation Q Wan, Z Huang, J Lu, G Yu, L Zhang ICLR 2023, 2023 | 126 | 2023 |
| Semask: Semantically masked transformers for semantic segmentation J Jain, A Singh, N Orlov, Z Huang, J Li, S Walton, H Shi Proceedings of the IEEE/CVF International Conference on Computer Vision, 752-761, 2023 | 122 | 2023 |
| Depth Anything V2 L Yang, B Kang, Z Huang, Z Zhao, X Xu, J Feng, H Zhao NeurIPS 2024, 2024 | 106 | 2024 |
| Deep learning-based automated image segmentation for concrete petrographic analysis Y Song, Z Huang, C Shen, H Shi, DA Lange Cement and Concrete Research, 2020 | 93 | 2020 |
| Bubogpt: Enabling visual grounding in multi-modal llms Y Zhao, Z Lin, D Zhou, Z Huang, J Feng, B Kang arXiv preprint arXiv:2307.08581, 2023 | 84 | 2023 |
| Deep patch learning for weakly supervised object classification and discovery P Tang, X Wang, Z Huang, X Bai, W Liu Pattern Recognition 71, 446-459, 2017 | 79 | 2017 |
| High-Resolution Deep Image Matting H Yu, N Xu, Z Huang, Y Zhou, H Shi AAAI 2021, 2021 | 67 | 2021 |
| Fast and accurate single-image depth estimation on mobile devices, mobile ai 2021 challenge: Report A Ignatov, G Malivenko, D Plowman, S Shukla, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Human De-occlusion: Invisible Perception and Recovery for Humans Q Zhou, S Wang, Y Wang, Z Huang, X Wang CVPR 2021, 2021 | 37 | 2021 |
| Point linking network for object detection X Wang, K Chen, Z Huang, C Yao, W Liu arXiv preprint arXiv:1706.03646, 2017 | 34 | 2017 |
Xinggang WangProfessor, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
