| Internlm: A multilingual language model with progressively enhanced capabilities ILM Team 2023-01-06)[2023-09-27]. https://github. com/InternLM/InternLM, 2023 | 114 | 2023 |
| Generative Diffusion Prior for Unified Image Restoration and Enhancement B Fei, Z Lyu, L Pan, J Zhang, W Yang, T Luo, B Zhang, B Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 61 | 2023 |
| Curriculum-style local-to-global adaptation for cross-domain remote sensing image segmentation B Zhang, T Chen, B Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 40 | 2021 |
| Densely semantic enhancement for domain adaptive region-free detectors B Zhang, T Chen, B Wang, X Wu, L Zhang, J Fan IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1339-1352, 2021 | 24 | 2021 |
| Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification Y Wu, B Zhang, G Yu, W Zhang, B Wang, T Chen, J Fan ACM MM 2021, 107–115, 2021 | 23* | 2021 |
| Uni3d: A unified baseline for multi-dataset 3d object detection B Zhang, J Yuan, B Shi, T Chen, Y Li, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| What makes for effective few-shot point cloud classification? C Ye, H Zhu, Y Liao, Y Zhang, T Chen, J Fan Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 19 | 2022 |
| Domain adaptive detection system for concealed objects using millimeter wave images B Zhang, B Wang, X Wu, L Zhang, M Yang, X Sun Neural Computing and Applications 33, 11573-11588, 2021 | 19 | 2021 |
| Performance-aware Approximation of Global Channel Pruning for Multitask CNNs H Ye, B Zhang, T Chen, J Fan, B Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 16 | 2023 |
| Joint distribution alignment via adversarial learning for domain adaptive object detection B Zhang, T Chen, B Wang, R Li IEEE Transactions on Multimedia 24, 4102-4112, 2021 | 16 | 2021 |
| Sample-centric feature generation for semi-supervised few-shot learning B Zhang, H Ye, G Yu, B Wang, Y Wu, J Fan, T Chen IEEE Transactions on Image Processing 31, 2309-2320, 2022 | 15 | 2022 |
| Screen efficiency comparisons of decision tree and neural network algorithms in machine learning assisted drug design Q Pu, Y Li, H Zhang, H Yao, B Zhang, B Hou, L Li, Y Zhao, L Zhao Science China Chemistry 62, 506-514, 2019 | 15 | 2019 |
| Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection J Yuan, B Zhang, X Yan, T Chen, B Shi, Y Li, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Learning cross-image object semantic relation in transformer for few-shot fine-grained image classification B Zhang, J Yuan, B Li, T Chen, J Fan, B Shi Proceedings of the 30th ACM International Conference on Multimedia, 2135-2144, 2022 | 12 | 2022 |
| Towards Knowledge-driven Autonomous Driving X Li, Y Bai, P Cai, L Wen, D Fu, B Zhang, X Yang, X Cai, T Ma, J Guo, ... arXiv preprint arXiv:2312.04316, 2023 | 10 | 2023 |
| AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset J Yuan, B Zhang, X Yan, T Chen, B Shi, Y Li, Y Qiao NeurIPS 2023, 2023 | 10* | 2023 |
| Coarse-to-fine joint distribution alignment for cross-domain hyperspectral image classification J Miao, B Zhang, B Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 9 | 2021 |
| Few-shot object detection with self-adaptive global similarity and two-way foreground stimulator in remote sensing images Y Zhang, B Zhang, B Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 8 | 2022 |
| StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding R Xia, B Zhang, H Peng, N Liao, P Ye, B Shi, J Yan, Y Qiao arXiv preprint arXiv:2309.11268, 2023 | 7 | 2023 |
| A Closer Look at Few-Shot 3D Point Cloud Classification C Ye, H Zhu, B Zhang, T Chen International Journal of Computer Vision 131 (3), 772-795, 2023 | 7 | 2023 |
Botian ShiShanghai Artificial Intelligence Laboratory在 pjlab.org.cn 的電子郵件地址已通過驗證
