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        TITLE = "TripleA: An Unsupervised Domain Adaptation Framework for Nighttime
VRU Detection",
        JOURNAL = ITS,
        VOLUME = "26",
        YEAR = "2025",
        NUMBER = "6",
        MONTH = "June",
        PAGES = "8320-8336",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201757"}

@article{bb206401,
        AUTHOR = "Yang, H.Y. and Wang, J. and Tian, M.C. and Bo, Y.M.",
        TITLE = "DMPD: A Dual-Modality Fusion Method for Cross-Spectral Pedestrian
Detection",
        JOURNAL = HMS,
        VOLUME = "55",
        YEAR = "2025",
        NUMBER = "4",
        MONTH = "August",
        PAGES = "599-608",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201758"}

@article{bb206402,
        AUTHOR = "He, Z.P. and Zhao, B. and Wu, Y.F. and Jiang, Y.Y. and Zhao, Q.Z.",
        TITLE = "A Progressive Target-Aware Network for Drone-Based Person Detection
Using RGB-T Images",
        JOURNAL = RS,
        VOLUME = "17",
        YEAR = "2025",
        NUMBER = "19",
        PAGES = "3361",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201759"}

@article{bb206403,
        AUTHOR = "Babu, V.S.S. and Raman, R.",
        TITLE = "CoSTAA YOLO: Convolutional Swin Transformer with Attention and Anchor
box Optimization on YOLOv7 for robust pedestrian detection",
        JOURNAL = IVC,
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        YEAR = "2026",
        PAGES = "105942",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201760"}

@article{bb206404,
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        TITLE = "Bidirectional Fusion and Adaptation Network for Pedestrian Detection
in Urban Scenes",
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        YEAR = "2026",
        PAGES = "2155-2159",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201761"}

@article{bb206405,
        AUTHOR = "Mei, J.L. and Lyu, W.T. and Lou, X.F.",
        TITLE = "EFGNet: Efficient filter guided network for dense pedestrian
detection",
        JOURNAL = SP:IC,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201762"}

@article{bb206406,
        AUTHOR = "Tang, Z.S. and Huang, Q. and Yang, L. and Xiang, J.B. and Ye, X.F.",
        TITLE = "Adaptive pedestrian detection in resource-constrained dynamic crowds
via hierarchical occlusion-aware reasoning",
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        YEAR = "2026",
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@article{bb206407,
        AUTHOR = "Zhu, Y. and Zhang, Y.X. and Sun, K.",
        TITLE = "A Lightweight Network for Vehicle and Pedestrian Object Detection in
Autonomous Driving Scenarios",
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        YEAR = "2027",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201764"}

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        AUTHOR = "Zhao, Q. and Zhang, Y. and Li, X. and Ran, J. and Zhang, Z. and Zhu, G.Q. and Huo, Y. and Zhang, Y. and Yu, H.Y.",
        TITLE = "GLNet-YOLO: Research on Pedestrian Detection Technology Based on
Multimodal Feature Fusion",
        BOOKTITLE = ICIVC25,
        YEAR = "2025",
        PAGES = "183-188",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201765"}

@inproceedings{bb206409,
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        TITLE = "Wts: A Pedestrian-centric Traffic Video Dataset for Fine-grained
Spatial-temporal Understanding",
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        YEAR = "2024",
        PAGES = "LXXVI: 1-18",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201766"}

@inproceedings{bb206410,
        AUTHOR = "Xie, Q. and Cheng, T.Y. and Zhong, J.X. and Zhou, K. and Markham, A. and Trigoni, N.",
        TITLE = "Beyond Fusion: Modality Hallucination-based Multispectral Fusion for
Pedestrian Detection",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201767"}

@inproceedings{bb206411,
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        TITLE = "Multi-Scale Feature Fusion Pedestrian Detection Algorithm Based on
Transformer",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f731.html#TT201768"}

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        AUTHOR = "Sahin, Y.H. and Abdinli, E. and Aydin, M.A. and Unal, G.",
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Drone Images",
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@inproceedings{bb206413,
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        TITLE = "Revisiting Modality Imbalance In Multimodal Pedestrian Detection",
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Robust Transformer based Pedestrian Detection",
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@inproceedings{bb206417,
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@inproceedings{bb206419,
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