| FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead K Chen, T Han, J Gong, L Bai, F Ling, JJ Luo, X Chen, L Ma, T Zhang, ... arXiv preprint arXiv:2304.02948, 2023 | 112 | 2023 |
| Domain-adaptive crowd counting via high-quality image translation and density reconstruction J Gao, T Han, Y Yuan, Q Wang IEEE transactions on neural networks and learning systems 34 (8), 4803-4815, 2021 | 102* | 2021 |
| Neuron linear transformation: Modeling the domain shift for crowd counting Q Wang, T Han, J Gao, Y Yuan IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3238-3250, 2021 | 77 | 2021 |
| Multitask attention network for lane detection and fitting Q Wang, T Han, Z Qin, J Gao, X Li IEEE transactions on neural networks and learning systems 33 (3), 1066-1078, 2020 | 67 | 2020 |
| Focus on semantic consistency for cross-domain crowd understanding T Han, J Gao, Y Yuan, Q Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 56 | 2020 |
| Learning independent instance maps for crowd localization J Gao, T Han, Q Wang, Y Yuan, X Li arXiv preprint arXiv:2012.04164, 2020 | 42 | 2020 |
| VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 33* | 2020 |
| Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning T Han, J Gao, Y Yuan, Q Wang Advances in Neural Information Processing Systems (NeurIPS), 2020 | 32 | 2020 |
| DR. VIC: Decomposition and Reasoning for Video Individual Counting T Han, L Bai, J Gao, Q Wang, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
| STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning T Han, L Bai, L Liu, W Ouyang Proceedings of the IEEE International Conference on Computer Vision, 2023 | 22 | 2023 |
| Drpt: Disentangled and recurrent prompt tuning for compositional zero-shot learning X Lu, Z Liu, S Guo, J Guo, F Huo, S Bai, T Han arXiv preprint arXiv:2305.01239, 2023 | 14 | 2023 |
| A flow base bi-path network for cross-scene video crowd understanding in aerial view Z Zhao, T Han, J Gao, Q Wang, X Li Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 11 | 2020 |
| Fengwu-ghr: Learning the kilometer-scale medium-range global weather forecasting T Han, S Guo, F Ling, K Chen, J Gong, J Luo, J Gu, K Dai, W Ouyang, ... arXiv preprint arXiv:2402.00059, 2024 | 8 | 2024 |
| Towards an end-to-end artificial intelligence driven global weather forecasting system K Chen, L Bai, F Ling, P Ye, T Chen, K Chen, T Han, W Ouyang arXiv preprint arXiv:2312.12462, 2023 | 8 | 2023 |
| Towards a Self-contained Data-driven Global Weather Forecasting Framework Y Xiao, L Bai, W Xue, H Chen, K Chen, T Han, W Ouyang Forty-first International Conference on Machine Learning, 2024 | 6* | 2024 |
| LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds Q Wang, T Han, J Gao, Y Yuan, X Li arXiv preprint arXiv:2110.04727, 2021 | 6 | 2021 |
| Is Artificial Intelligence Providing the Second Revolution for Weather Forecasting? F Ling, L Ouyang, BR Larbi, JJ Luo, T Han, X Zhong, L Bai arXiv preprint arXiv:2401.16669, 2024 | 4 | 2024 |
| CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer T Han, Z Chen, S Guo, W Xu, L Bai arXiv preprint arXiv:2405.03376, 2024 | 3 | 2024 |
| DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning S Bai, J Zhang, S Li, S Guo, J Guo, J Hou, T Han, X Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Extremecast: Boosting extreme value prediction for global weather forecast W Xu, K Chen, T Han, H Chen, W Ouyang, L Bai arXiv preprint arXiv:2402.01295, 2024 | 3 | 2024 |
Lei BaiShanghai AI Laboratory在 sydney.edu.au 的电子邮件经过验证
