| MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark MMS Contributors | 918 | 2020 |
| MMDetection3D: OpenMMLab next-generation platform for general 3D object detection M Contributors | 767* | 2020 |
| Vatex: A large-scale, high-quality multilingual dataset for video-and-language research X Wang, J Wu, J Chen, L Li, YF Wang, WY Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 619 | 2019 |
| Segment anything model for medical images? Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou, R Chen, J Yu, J Chen, ... Medical Image Analysis 92, 103061, 2024 | 331 | 2024 |
| Attention-guided pyramid context networks for detecting infrared small target under complex background T Zhang, L Li, S Cao, T Pu, Z Peng IEEE Transactions on Aerospace and Electronic Systems 59 (4), 4250-4261, 2023 | 250* | 2023 |
| Progressive domain expansion network for single domain generalization L Li, K Gao, J Cao, Z Huang, Y Weng, X Mi, Z Yu, X Li, B Xia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 180 | 2021 |
| Locate then segment: A strong pipeline for referring image segmentation Y Jing, T Kong, W Wang, L Wang, L Li, T Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 156 | 2021 |
| Integrating remote attestation with transport layer security T Knauth, M Steiner, S Chakrabarti, L Lei, C Xing, M Vij arXiv preprint arXiv:1801.05863, 2018 | 132 | 2018 |
| Mamba-unet: Unet-like pure visual mamba for medical image segmentation Z Wang, JQ Zheng, Y Zhang, G Cui, L Li arXiv preprint arXiv:2402.05079, 2024 | 130 | 2024 |
| Deepfake network architecture attribution T Yang, Z Huang, J Cao, L Li, X Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4662-4670, 2022 | 57 | 2022 |
| A sinogram inpainting method based on generative adversarial network for limited-angle computed tomography Z Li, W Zhang, L Wang, A Cai, N Liang, B Yan, L Li 15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019 | 42 | 2019 |
| Aim 2022 challenge on super-resolution of compressed image and video: Dataset, methods and results R Yang, R Timofte, X Li, Q Zhang, L Zhang, F Liu, D He, F Li, H Zheng, ... European Conference on Computer Vision, 174-202, 2022 | 37 | 2022 |
| OpenMMLab semantic segmentation toolbox and benchmark MMS Contributors 2023-08-27]. https://github. com/open-mmlab/mmsegmentation, 2020 | 37 | 2020 |
| Overview of the NLPCC 2017 shared task: single document summarization L Hua, X Wan, L Li Natural Language Processing and Chinese Computing: 6th CCF International …, 2018 | 37 | 2018 |
| Deep learning based 3D point cloud regression for estimating forest biomass S Oehmcke, L Li, JC Revenga, T Nord-Larsen, K Trepekli, F Gieseke, ... Proceedings of the 30th international conference on advances in geographic …, 2022 | 36 | 2022 |
| Back to optimization: Diffusion-based zero-shot 3d human pose estimation Z Jiang, Z Zhou, L Li, W Chai, CY Yang, JN Hwang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 34 | 2024 |
| In vivo imaging of Mauthner axon regeneration, remyelination and synapses re-establishment after laser axotomy in zebrafish larvae B Hu, M Chen, R Huang, Y Huang, Y Xu, W Yin, L Li, B Hu Experimental Neurology 300, 67-73, 2018 | 29 | 2018 |
| RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection F Wu, T Zhang, L Li, Y Huang, Z Peng Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 26 | 2024 |
| Deep Point Cloud Regression for Above-ground Forest Biomass Estimation from Airborne LiDAR S Oehmcke, L Li, K Trepekli, JC Revenga, T Nord-Larsen, F Gieseke, ... Remote Sensing of Environment 302 (113968), 2024 | 25 | 2024 |
| MMDetection3D: OpenMMLab next-generation platform for general 3D object detection (2020) M Contributors | 25 | 2022 |
