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Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 1963-1980
作者:  Luo, Chuanchen;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2539Kb)  |  收藏  |  浏览/下载：192/60  |  提交时间：2023/03/20
Person re-identification  domain adaptation  cross-domain mixup  camera-aware learning  self-paced learning  
Global Instance Tracking: Locating Target More Like Humans 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:  Hu, Shiyu;  Zhao, Xin;  Huang, Lianghua;  Huang, Kaiqi
Adobe PDF(15055Kb)  |  收藏  |  浏览/下载：204/54  |  提交时间：2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability  
Deep Graph Metric Learning for Weakly Supervised Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6074-6093
作者:  Meng, Jingke;  Zheng, Wei-Shi;  Lai, Jian-Huang;  Wang, Liang
收藏  |  浏览/下载：159/0  |  提交时间：2022/11/14
Training  Cameras  Labeling  Probes  Visualization  Annotations  Loss measurement  Person re-identification  weakly supervised person re-identification  visual surveillance  
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 1, 页码: 456-473
作者:  Zhang, Lei;  He, Zhenwei;  Yang, Yi;  Wang, Liang;  Gao, X-B
收藏  |  浏览/下载：165/0  |  提交时间：2022/01/27
Image search  object detection  re-identification  retrieval  deep learning  
Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 5, 页码: 1024 - 1037
作者:  He, Ran;  Cao, Jie;  Song, Lingxiao;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4148Kb)  |  收藏  |  浏览/下载：164/30  |  提交时间：2021/06/16
heterogeneous face recognition  near infrared-visible matching  face completion  face inpainting  
Efficient Group-n Encoding and Decoding for Facial Age Estimation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 11, 页码: 2610-2623
作者:  Zichang Tan;  Jun Wan;  Zhen Lei;  Ruicong Zhi;  Guodong Guo;  Stan Z. Li
浏览  |  Adobe PDF(1015Kb)  |  收藏  |  浏览/下载：547/194  |  提交时间：2018/10/10
Age estimation  deep learning  convolutional neural network  age grouping  data imbalance  
Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 2, 页码: 332-351
作者:  Sun, Yunlian;  Zhang, Man;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(2995Kb)  |  收藏  |  浏览/下载：813/295  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
Salient Object Detection via Structured Matrix Decomposition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 4, 页码: 818-832
作者:  Peng, Houwen;  Li, Bing;  Ling, Haibin;  Hu, Weiming;  Xiong, Weihua;  Maybank, Stephen J.
Adobe PDF(3573Kb)  |  收藏  |  浏览/下载：448/172  |  提交时间：2017/05/05
Salient Object Detection  Matrix Decomposition  Low Rank  Structured Sparsity  Subspace Learning  
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 2, 页码: 209-226
作者:  Wu, Zifeng;  Huang, Yongzhen;  Wang, Liang;  Wang, Xiaogang;  Tan, Tieniu
浏览  |  Adobe PDF(2447Kb)  |  收藏  |  浏览/下载：1098/600  |  提交时间：2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 1, 页码: 172-188
作者:  Hu, Weiming;  Gao, Jin;  Xing, Junliang;  Zhang, Chao;  Maybank, Stephen;  Weiming Hu
Adobe PDF(7133Kb)  |  收藏  |  浏览/下载：425/132  |  提交时间：2016/04/13
Discriminant Tracking  Tensor Samples  Semi-supervised Learning  Graph Embedding Space