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Zhu, Xiaoke; Dong, Lingyun; Chen, Xiaopan; Zhang, Xinyu; Qi, Fumin; Jing, Xiao-Yuan (2025) Confidence guided semi-supervised cross-modality person re-identification. Pattern Recognition, 165. doi:10.1016/j.patcog.2025.111669

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Reference TypeJournal (article/letter/editorial)
TitleConfidence guided semi-supervised cross-modality person re-identification
JournalPattern Recognition
AuthorsZhu, XiaokeAuthor
Dong, LingyunAuthor
Chen, XiaopanAuthor
Zhang, XinyuAuthor
Qi, FuminAuthor
Jing, Xiao-YuanAuthor
Year2025 (September)Volume165
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2025.111669Search in ResearchGate
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Mindat Ref. ID18310504Long-form Identifiermindat:1:5:18310504:6
GUID0
Full ReferenceZhu, Xiaoke; Dong, Lingyun; Chen, Xiaopan; Zhang, Xinyu; Qi, Fumin; Jing, Xiao-Yuan (2025) Confidence guided semi-supervised cross-modality person re-identification. Pattern Recognition, 165. doi:10.1016/j.patcog.2025.111669
Plain TextZhu, Xiaoke; Dong, Lingyun; Chen, Xiaopan; Zhang, Xinyu; Qi, Fumin; Jing, Xiao-Yuan (2025) Confidence guided semi-supervised cross-modality person re-identification. Pattern Recognition, 165. doi:10.1016/j.patcog.2025.111669
In(2025) Pattern Recognition Vol. 165. Elsevier BV

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Zhang (2022) Fmcnet: Feature-level modality compensation for visible-infrared person re-identification , 7339
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Chen, Xueting, Yan, Yan, Xue, Jing-Hao, Wang, Nannan, Wang, Hanzi (2025) Consistency-driven feature scoring and regularization network for visible–infrared person re-identification. Pattern Recognition, 159. doi:10.1016/j.patcog.2024.111131
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Yang (2022) Augmented dual-contrastive aggregation learning for unsupervised visible-infrared person re-identification , 2843
Liu, Yu-Jie, Shao, Wen-Bin, Sun, Xiao-Rui (2022) Learn Robust Pedestrian Representation Within Minimal Modality Discrepancy for Visible-Infrared Person Re-Identification. Journal of Computer Science and Technology, 37 (3) 641-651 doi:10.1007/s11390-022-2146-1
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Wu (2017) RGB-infrared cross-modality person re-identification , 5390
Hao (2019) HSME: hypersphere manifold embedding for visible thermal person re-identification , 8385
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Choi (2020) Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification , 10254
Wu (2021) Discover cross-modality nuances for visible-infrared person re-identification , 4330
Ling, Yongguo, Luo, Zhiming, Lin, Dazhen, Li, Shaozi, Jiang, Min, Sebe, Nicu, Zhong, Zhun (2025) Cross-modality average precision optimization for visible thermal person re-identification. Pattern Recognition, 164. doi:10.1016/j.patcog.2025.111489
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Ji, Haoxuanye, Wang, Le, Zhou, Sanping, Tang, Wei, Zheng, Nanning, Hua, Gang (2024) Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification. Pattern Recognition, 145. 109973 doi:10.1016/j.patcog.2023.109973
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Li, Jiawei, Ma, Andy J., Yuen, Pong C. (2018) Semi-supervised Region Metric Learning for Person Re-identification. International Journal of Computer Vision, 126. 855-874 doi:10.1007/s11263-018-1075-5
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Shi (2023) Dual pseudo-labels interactive self-training for semi-supervised visible-infrared person re-identification , 11184
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Wang (2019) RGB-infrared cross-modality person re-identification via joint pixel and feature alignment , 3623
Li (2020) Infrared-visible cross-modal person re-identification with an x modality , 4610
Lu (2020) Cross-modality person re-identification with shared-specific feature transfer , 13379
Ye (2020) Dynamic dual-attentive aggregation learning for visible-infrared person re-identification , 229
Tian (2021) Farewell to mutual information: Variational distillation for cross-modal person re-identification , 1522
Ye (2021) Channel augmented joint learning for visible-infrared recognition , 13567
Gao (2021) MSO: Multi-feature space joint optimization network for rgb-infrared person re-identification , 5257
Zhang (2021) Towards a unified middle modality learning for visible-infrared person re-identification , 788
Hao (2021) Cross-modality person re-identification via modality confusion and center aggregation , 16383
Yang (2022) Learning with twin noisy labels for visible-infrared person re-identification , 14288
Zhong (2019) Invariance matters: Exemplar memory for domain adaptive person re-identification , 598
Ge (2020) Adv. Neural Inf. Process. Syst. Self-paced contrastive learning with hybrid memory for domain adaptive object re-id 33, 11309
Ge (2020) Mutual mean-teaching: Pseudo label refinery for unsupervised domain adaptation on person re-identification , 1
Wang (2021) Camera-aware proxies for unsupervised person re-identification , 2764
Chen (2021) Ice: Inter-instance contrastive encoding for unsupervised person re-identification , 14960
Hao (2021) Cross-modality person re-identification via modality confusion and center aggregation , 16403
Zhang (2022) Fmcnet: Feature-level modality compensation for visible-infrared person re-identification , 7349
Liu (2022) Learning memory-augmented unidirectional metrics for cross-modality person re-identification , 19366
Cho (2022) Part-based pseudo label refinement for unsupervised person re-identification , 7308
Zhang (2022) Implicit sample extension for unsupervised person re-identification , 7369

See Also

These are possibly similar items as determined by title/reference text matching only.

Zhu, Xiaoke, Jing, Xiao-Yuan, Zhang, Fan, Zhang, Xinyu, You, Xinge, Cui, Xiang (2019) Distance learning by mining hard and easy negative samples for person re-identification. Pattern Recognition, 95. 211-222 doi:10.1016/j.patcog.2019.06.007
Wu, Fei; Zhou, Ruixuan; Gao, Yang; Feng, Yujian; Huang, Qinghua; Jing, Xiao-Yuan (2025) Semi-supervised cross-modality person re-identification based on pseudo label learning. Image and Vision Computing, 161. doi:10.1016/j.imavis.2025.105602
Qian, Zhihao, Lin, Yutian, Du, Bo (2025) Visible–infrared person re-identification via patch-mixed cross-modality learning. Pattern Recognition, 157. doi:10.1016/j.patcog.2024.110873
Huang, Nianchang, Liu, Jianan, Luo, Yongjiang, Zhang, Qiang, Han, Jungong (2023) Exploring modality-shared appearance features and modality-invariant relation features for cross-modality person Re-IDentification. Pattern Recognition, 135. 109145 doi:10.1016/j.patcog.2022.109145
Wu, Fei, Li, Shuaishuai, Gao, Guangwei, Ji, Yimu, Jing, Xiao-Yuan, Wan, Zhiguo (2023) Semi-supervised cross-modal hashing via modality-specific and cross-modal graph convolutional networks. Pattern Recognition, 136. 109211 doi:10.1016/j.patcog.2022.109211
Huang, Nianchang, Liu, Kunlong, Liu, Yang, Zhang, Qiang, Han, Jungong (2022) Cross-modality person re-identification via multi-task learning. Pattern Recognition, 128. 108653pp. doi:10.1016/j.patcog.2022.108653
Feng, Yujian, Chen, Feng, Yu, Jian, Ji, Yimu, Wu, Fei, Liu, Shangdon, Jing, Xiao-Yuan (2025) Homogeneous and heterogeneous relational graph for visible-infrared person re-identification. Pattern Recognition, 158. doi:10.1016/j.patcog.2024.110981
Zhang, Zhong; He, Di; Liu, Shuang (2025) Cross-domain person re-identification via learning Heterogeneous Pseudo Labels. Pattern Recognition, 166. doi:10.1016/j.patcog.2025.111702
Yang, Xi, Liu, Huanling, Wang, Nannan, Gao, Xinbo (2025) Bidirectional modality information interaction for Visible–Infrared Person Re-identification. Pattern Recognition, 161. doi:10.1016/j.patcog.2024.111301
Ling, Yongguo, Luo, Zhiming, Lin, Dazhen, Li, Shaozi, Jiang, Min, Sebe, Nicu, Zhong, Zhun (2025) Cross-modality average precision optimization for visible thermal person re-identification. Pattern Recognition, 164. doi:10.1016/j.patcog.2025.111489
Zhang, Zhong, Zhang, Haijia, Liu, Shuang, Xie, Yuan, Durrani, Tariq S. (2021) Part-guided graph convolution networks for person re-identification. Pattern Recognition, 120. 108155pp. doi:10.1016/j.patcog.2021.108155
 
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