Work

Here are some works of mine 📚

Publications

T. Han*, L. Bai*, J. Gao, Q. Wang, and W. Ouyang, DR.VIC:Decomposition and Reasoning for Video Individual Counting, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, [PDF] [Code]
J. Gao, T. Han, Q. Wang, and Y. Yuan, Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction,IEEE Transactions on Neural Networks and Learning Systems, 2021, [PDF]
Q. Wang, T. Han, J. Gao, and Y. Yuan, Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting, IEEE Transactions on Neural Networks and Learning Systems, 2020, [PDF] [Code]
Q. Wang, T. Han, Z. Qin, J. Gao, and X. Li, Multi-task Attention Network for Lane Detection and Fitting, IEEE Transactions on Neural Networks and Learning Systems,2020, [PDF]
T. Han*, J. Gao*, Y. Yuan, and Q. Wang, Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning, Proc. Conference on Neural Information Processing Systems, 2020, [PDF] [Code]
Z. Zhao*, T. Han*, J Gao, Q. Wang, X. Li A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View, Proc. European Conference on Computer Vision Workshops, 2020, [PDF]
T. Han, J. Gao, Y. Yuan, and Q. Wang, Focus on Semantic Consistency for Cross-Domain Crowd Understanding, Proc. International Conference on Acoustic, Speech, and Signal Processing, 2020, Oral, [PDF]

Q. Wang, T. Han, J. Gao, Y. Yuan, and X, Li, LDC-Net: A Unified Framework for Localization, Detectionand Countingin Dense Crowds, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, [PDF]
J. Gao, T. Han, Q. Wang, and Y. Yuan, Learning Independent Instance Maps for Crowd Localization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, [PDF] [Code]