| Comparison of support vector machine and softmax classifiers in computer vision X Qi, T Wang, J Liu 2017 Second International Conference on Mechanical, Control and Computer …, 2017 | 98 | 2017 |
| Towards accurate high resolution satellite image semantic segmentation M Wu, C Zhang, J Liu, L Zhou, X Li Ieee Access 7, 55609-55619, 2019 | 84 | 2019 |
| Comparison of backbones for semantic segmentation network R Zhang, L Du, Q Xiao, J Liu Journal of Physics: Conference Series 1544 (1), 012196, 2020 | 60 | 2020 |
| Accuracy improvement of UNet based on dilated convolution S Piao, J Liu Journal of Physics: Conference Series 1345 (5), 052066, 2019 | 36 | 2019 |
| MTTrans: Cross-domain object detection with mean teacher transformer J Yu, J Liu, X Wei, H Zhou, Y Nakata, D Gudovskiy, T Okuno, J Li, ... European Conference on Computer Vision, 629-645, 2022 | 33 | 2022 |
| FGSD: A dataset for fine-grained ship detection in high resolution satellite images K Chen, M Wu, J Liu, C Zhang arXiv preprint arXiv:2003.06832, 2020 | 28 | 2020 |
| Overfitting the data: Compact neural video delivery via content-aware feature modulation J Liu, M Lu, K Chen, X Li, S Wang, Z Wang, E Wu, Y Chen, C Zhang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 23 | 2021 |
| Exploring sparse visual prompt for cross-domain semantic segmentation S Yang, J Wu, J Liu*, X Li, Q Zhang, M Pan, S Zhang AAAI2024, 2023 | 15 | 2023 |
| Adaptive patch exiting for scalable single image super-resolution S Wang, J Liu, K Chen, X Li, M Lu, Y Guo European Conference on Computer Vision, 292-307, 2022 | 14 | 2022 |
| Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision M Pan, J Liu, R Zhang, P Huang, X Li, L Liu, S Zhang ICRA2024, 2023 | 13 | 2023 |
| ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation J Liu, S Yang, P Jia, M Lu, Y Guo, W Xue, S Zhang ICLR2024, 2023 | 10 | 2023 |
| BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection J Li, M Lu, J Liu, Y Guo, Y Du, L Du, S Zhang IEEE Transactions on Intelligent Vehicles, 2023 | 8* | 2023 |
| Cloud-device collaborative adaptation to continual changing environments in the real-world Y Gan, M Pan, R Zhang, Z Ling, L Zhao, J Liu, S Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Lidar-llm: Exploring the potential of large language models for 3d lidar understanding S Yang, J Liu, R Zhang, M Pan, Z Guo, X Li, Z Chen, P Gao, Y Guo, ... arXiv preprint arXiv:2312.14074, 2023 | 7 | 2023 |
| UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering M Pan, L Liu, J Liu, P Huang, L Wang, S Zhang, S Xu, Z Lai, K Yang arXiv preprint arXiv:2306.09117, 2023 | 7 | 2023 |
| Bev-san: Accurate bev 3d object detection via slice attention networks X Chi, J Liu, M Lu, R Zhang, Z Wang, Y Guo, S Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Efficient meta-tuning for content-aware neural video delivery X Li, J Liu, S Wang, C Lyu, M Lu, Y Chen, A Yao, Y Guo, S Zhang European Conference on Computer Vision, 308-324, 2022 | 7 | 2022 |
| Unsupervised spike depth estimation via cross-modality cross-domain knowledge transfer J Liu, Q Zhang, J Li, M Lu, T Huang, S Zhang ICRA2024, 2022 | 7 | 2022 |
| SamplingAug: On the importance of patch sampling augmentation for single image super-resolution S Wang, M Lu, K Chen, J Liu, X Li, M Wu BMVC2021, 2021 | 6 | 2021 |
| Cabm: Content-aware bit mapping for single image super-resolution network with large input S Tian, M Lu, J Liu, Y Guo, Y Chen, S Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Shanghang ZhangEECS, UC BerkeleyVerified email at eecs.berkeley.edu
