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Associate Professor Supervisor of Master's Candidates

Paper Publications

[1]闫天宇, 邓昕昊, Wan, Zifu, Zhang Pingping, liuyang, lu hu chuan.MAS-SAM: Segment Any Marine Animal with Aggregated Features[A],IJCAI International Joint Conference on Artificial Intelligence,2024,6886-6894
[2]Nian, Bingkun, Tang, Fenghe, Ding, Jianrui, Zhang Pingping, Yang, Jie, Kevin Zhou, S., Liu, Wei.SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution[J],arXiv,2024
[3]Wang, Yue, zhanglu, Zhang Pingping, Zhuge Yunzhi, Wu, Junfeng, Yu, Hong, lu hu chuan.Learning Local-Global Representation for Scribble-based RGB-D Salient Object Detection via Transf...[J],2024,1-1
[4]Liu, Wei, Zhang Pingping, Qin, Hongxing, Huang, Xiaolin, Yang, Jie, Ng, Michael.Fast Global Image Smoothing via Quasi Weighted Least Squares[J],International Journal of Computer Vision,2024
[5]Wang, Yuhao, Liu, Xuehu, Zhang Pingping, Lu, Hu, Tu, Zhengzheng, lu hu chuan.TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation[A],Proceedings of the AAAI Conference on Artificial Intelligence,2024,38(6):5758-5766
[6]王英权, Zhang Pingping, wangdong, lu hu chuan.Other tokens matter: Exploring global and local features of Vision Transformers for Object Re-Ide...[J],Computer Vision and Image Understanding,2024,244
[7]Liu, Xuehu, 余晨阳, Zhang Pingping, Qian, Xuesheng, Yang, Xiaoyun, lu hu chuan, Zhang, Pingping.A Video Is Worth Three Views: Trigeminal Transformers for Video-Based Person Re-Identification[J],IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2024
[8]余晨阳, 王英权, Liu, Xuehu, Zhang Pingping, lu hu chuan.TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification[A],Proceedings of the AAAI Conference on Artificial Intelligence,2024,38(7):6764-6772
[9]邓昕昊, Zhang Pingping, Liu, Wei, lu hu chuan.Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection[A],MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia,2024,7413-7423
[10]高尚, 余晨阳, Zhang Pingping, lu hu chuan.Ped-Mix: Mix Pedestrians for Occluded Person Re-identification[A],Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2024,14436 LNCS:265-277

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