| Shape-aware semi-supervised 3D semantic segmentation for medical images S Li, C Zhang, X He Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 355 | 2020 |
| Petrv2: A unified framework for 3d perception from multi-camera images Y Liu, J Yan, F Jia, S Li, A Gao, T Wang, X Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 275 | 2023 |
| Cross modal transformer: Towards fast and robust 3d object detection J Yan, Y Liu, J Sun, F Jia, S Li, T Wang, X Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 53 | 2023 |
| Far3d: Expanding the horizon for surround-view 3d object detection X Jiang, S Li, Y Liu, S Wang, F Jia, T Wang, L Han, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2561-2569, 2024 | 32 | 2024 |
| Cross modal transformer via coordinates encoding for 3d object dectection J Yan, Y Liu, J Sun, F Jia, S Li, T Wang, X Zhang arXiv preprint arXiv:2301.01283 2 (3), 4, 2023 | 31 | 2023 |
| Superpixel-guided iterative learning from noisy labels for medical image segmentation S Li, Z Gao, X He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 29 | 2021 |
| The 1st-place solution for cvpr 2023 openlane topology in autonomous driving challenge D Wu, F Jia, J Chang, Z Li, J Sun, C Han, S Li, Y Liu, Z Ge, T Wang arXiv preprint arXiv:2306.09590, 2023 | 9 | 2023 |
| Auto-segmentation and time-dependent systematic analysis of mesoscale cellular structure in β-cells during insulin secretion A Li, X Zhang, J Singla, K White, V Loconte, C Hu, C Zhang, S Li, W Li, ... Plos one 17 (3), e0265567, 2022 | 8 | 2022 |
| Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model Q He, S Li, X He Proceedings of the Fourth Conference on Medical Imaging with Deep Learning …, 2021 | 1 | 2021 |
Xuming HeShanghaiTech UniversityE-mailová adresa ověřena na: shanghaitech.edu.cn
