[1] Liu L, Li X, Lei X M. A person re-identification method with multi-scale and multi-feature fusion[J]. J Comput-Aided Des Comput Graphics, 34(2022).

[2] Shi Y X, Zhou Y. Person re-identification based on stepped feature space segmentation and local attention mechanism[J]. J Electron Inf Technol, 44(2022).

[3] Wang S, Ji P, Zhang Y Z et al. Adaptive receptive network for person re-identification[J]. Control Decis, 37(2022).

[4] Wang Z X, Wang Z, Zheng Y Q et al. Learning to reduce dual-level discrepancy for infrared-visible person re-identification[C], 618-626(2019).

[5] Zhong X, Lu T Y, Huang W X et al. Grayscale enhancement colorization network for visible-infrared person re-identification[J]. IEEE Trans Circ Syst Video Technol, 32, 1418-1430(2022).

[6] Wu Q, Dai P Y, Chen J et al. Discover cross-modality nuances for visible-infrared person re-identification[C], 4330-4339(2021).

[7] Zhang D M, Zhang Z Z, Ju Y et al. Dual mutual learning for cross-modality person re-identification[J]. IEEE Trans Circ Syst Video Technol, 32, 5361-5373(2022).

[8] Ye M, Shen J B, Crandall D J et al. Dynamic dual-attentive aggregation learning for visible-infrared person re-identification[C], 229-247(2020).

[9] Ye M, Ruan W J, Du B et al. Channel augmented joint learning for visible-infrared recognition[C], 13567-13576(2021).

[10] Chen C Q, Ye M, Qi M B et al. Structure-aware positional transformer for visible-infrared person re-identification[J]. IEEE Trans Image Process, 31, 2352-2364(2022).

[11] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 6000-6010(2017).

[12] Lu H, Zou X Z, Zhang P P. Learning progressive modality-shared transformers for effective visible-infrared person re-identification[C], 1835-1843(2023).

[13] Lin B B, Zhang S L, Yu X. Gait recognition via effective global-local feature representation and local temporal aggregation[C], 14648-14656(2021).

[14] Wu A C, Zheng W S, Yu H X et al. RGB-infrared cross-modality person re-identification[C], 5380-5389(2017).

[15] Nguyen D T, Hong H G, Kim K W et al. Person recognition system based on a combination of body images from visible light and thermal cameras[J]. Sensors, 17, 605(2017).

[16] Ye M, Shen J B, Lin G J et al. Deep learning for person re-identification: a survey and outlook[J]. IEEE Trans Pattern Anal Mach Intell, 44, 2872-2893(2022).

[17] Ye M, Lan X Y, Wang Z et al. Bi-directional center-constrained top-ranking for visible thermal person re-identification[J]. IEEE Trans Inf Forensics Secur, 15, 407-419(2020).

[18] Ye M, Lan X Y, Li J W et al. Hierarchical discriminative learning for visible thermal person re-identification[C], 919(2018).

[19] Wang G A, Zhang T Z, Cheng J et al. RGB-infrared cross-modality person re-identification via joint pixel and feature alignment[C], 3623-3632(2019).

[20] Li D G, Wei X, Hong X P et al. Infrared-visible cross-modal person re-identification with an X modality[C], 4610-4617(2020).

[21] Fu C Y, Hu Y B, Wu X et al. CM-NAS: cross-modality neural architecture search for visible-infrared person re-identification[C], 11823-11832(2021).

[22] Hao X, Zhao S Y, Ye M et al. Cross-modality person re-identification via modality confusion and center aggregation[C], 16403-16412(2021).

[23] Zheng X T, Chen X M, Lu X Q. Visible-infrared person re-identification via partially interactive collaboration[J]. IEEE Trans Image Process, 31, 6951-6963(2022).

[24] Yang M X, Huang Z Y, Hu P et al. Learning with twin noisy labels for visible-infrared person re-identification[C], 14308-14317(2022).

[25] Liu H J, Ma S, Xia D X et al. SFANet: a spectrum-aware feature augmentation network for visible-infrared person reidentification[J]. IEEE Trans Neural Netw Learn Syst, 34, 1958-1971(2023).

[26] Gong J H, Zhao S Y, Lam K M et al. Spectrum-irrelevant fine-grained representation for visible–infrared person re-identification[J]. Comput Vis Image Underst, 232, 103703(2023).

[27] Huang N C, Liu J N, Luo Y J et al. Exploring modality-shared appearance features and modality-invariant relation features for cross-modality person Re-IDentification[J]. Pattern Recogn, 135, 109145(2023).

[28] Selvaraju R R, Cogswell M, Das A et al. Grad-CAM: visual explanations from deep networks via gradient-based localization[J]. Int J Comput Vis, 128, 336-359(2020).