张平平
个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:未来技术学院/人工智能学院
学科:信号与信息处理
办公地点:未来技术学院北区243室
联系方式:zhpp@dlut.edu.cn
电子邮箱:zhpp@dlut.edu.cn
扫描关注
- [1]闫天宇, 邓昕昊, Wan, Zifu, 张平平, 刘洋, 卢湖川.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, 张平平, Yang, Jie, Kevin Zhou, S., Liu, Wei.SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution[J],arXiv,2024
- [3]Wang, Yue, 张璐, 张平平, 诸葛云志, Wu, Junfeng, Yu, Hong, 卢湖川.Learning Local-Global Representation for Scribble-based RGB-D Salient Object Detection via Transf...[J],2024,1-1
- [4]Liu, Wei, 张平平, 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, 张平平, Lu, Hu, Tu, Zhengzheng, 卢湖川.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, 张平平, 王栋, 卢湖川.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, 张平平, Qian, Xuesheng, Yang, Xiaoyun, 卢湖川, 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, 张平平, 卢湖川.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, 张平平, Liu, Wei, 卢湖川.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, 张平平, 卢湖川.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
- [11]Liu, Xuehu, 张平平, 卢湖川.Video-Based Person Re-Identification with Long Short-Term Representation Learning[A],Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2024,14355 LNCS:55-67
- [12]严天宇, 万子夫, 张平平.Fully Transformer Network for Change Detection of Remote Sensing Images[A],Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2024,13842 LNCS:75-92
- [13]刘雪虎, Yu, Chenyang, 张平平, 卢湖川.Deeply Coupled Convolution–Transformer With Spatial–Temporal Complementary Learning for Video-B...[J],IEEE Transactions on Neural Networks and Learning Systems,2024,1-11
- [14]Lu, Hu, Zou, Xuezhang, 张平平.Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identi...[A],Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023,37:1835-1843
- [15]严天宇, 万子夫, 张平平, Cheng, Gong, 卢湖川.TransY-Net: Learning Fully Transformer Networks for Change Detection of Remote Sensing Images[J],IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2024,61
- [16]张平平, 刘伟, Lei, Yinjie, 王洪玉, 卢湖川.RAPNet: Residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing[J],IEEE TRANSACTIONS ON IMAGE PROCESSING,2022,29:5010-5021
- [17]刘伟, 张平平, Huang, Xiaolin, 杨洁, Shen, Chunhua, Reid, Ian.Real-time Image Smoothing via Iterative Least Squares[J],ACM TRANSACTIONS ON GRAPHICS,2022,39(3)
- [18]Shimin Zhao, Miaomiao Chen, 王鹏杰, Ying Cao, 张平平, 杨鑫.RGB-D Salient Object Detection via Deep Fusion of Semantics and Details.[A],Journal of Computer Animation and Virtual Worlds,2022
- [19]Zhao, Shimin, Chen, Miaomiao, 王鹏杰, Cao, Ying, 张平平, 杨鑫.RGB-D salient object detection via deep fusion of semantics and details[J],COMPUTER ANIMATION AND VIRTUAL WORLDS,2022,31(4-5)
- [20]Wang, Linzhao, 王立君, 卢湖川, 张平平, Ruan, Xiang.Saliency Detection with Recurrent Fully Convolutional Networks[A],14th European Conference on Computer Vision (ECCV),2022,9908:825-841