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Tao Han
Tao Han
PhD student, The Hong Kong University of Science and Technology & Shanghgai AI Lab
Verified email at connect.ust.hk
Title
Cited by
Cited by
Year
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
87*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
732021
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
612020
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
582023
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
522020
Learning independent instance maps for crowd localization
J Gao, T Han, Q Wang, Y Yuan, X Li
arXiv preprint arXiv:2012.04164, 2020
372020
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
272020
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
27*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
172022
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
122023
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
102023
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
102020
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
52021
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
22023
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
12024
FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
Y Xiao, L Bai, W Xue, K Chen, T Han, W Ouyang
arXiv preprint arXiv:2312.12455, 2023
12023
Traffic Sign Interpretation in Real Road Scene
C Yang, K Zhuang, M Chen, H Ma, X Han, T Han, C Guo, H Han, B Zhao, ...
arXiv preprint arXiv:2311.10793, 2023
12023
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
arXiv preprint arXiv:2403.08506, 2024
2024
Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
Y Xiao, L Bai, W Xue, K Chen, T Han, W Ouyang
EGU24, 2024
2024
Global Tropical Cyclone Intensity Forecasting with Multi-modal Multi-scale Causal Autoregressive Model
X Wang, K Chen, L Liu, T Han, B Li, L Bai
arXiv preprint arXiv:2402.13270, 2024
2024
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