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Vehicular Pedestrian Detection",
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        YEAR = "2021",
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@article{bb200458,
        AUTHOR = "Qian, Y.Q. and Yang, M. and Li, H. and Wang, C.X. and Wang, B.",
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@inproceedings{bb200459,
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        TITLE = "Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light
Conditions without Re-training",
        BOOKTITLE = TradiCV21,
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        PAGES = "2535-2541",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195837"}

@article{bb200460,
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        TITLE = "Person Foreground Segmentation by Learning Multi-Domain Networks",
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@article{bb200461,
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        TITLE = "Unsupervised thermal-to-visible domain adaptation method for
pedestrian detection",
        JOURNAL = PRL,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195839"}

@inproceedings{bb200462,
        AUTHOR = "Marnissi, M.A. and Fradi, H. and Sahbani, A. and Essoukri Ben Amara, N.",
        TITLE = "Thermal Image Enhancement using Generative Adversarial Network for
Pedestrian Detection",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "6509-6516",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195840"}

@article{bb200463,
        AUTHOR = "Liu, T.S. and Lam, K.M. and Zhao, R. and Qiu, G.P.",
        TITLE = "Deep Cross-Modal Representation Learning and Distillation for
Illumination-Invariant Pedestrian Detection",
        JOURNAL = CirSysVideo,
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        YEAR = "2022",
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        MONTH = "January",
        PAGES = "315-329",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195841"}

@article{bb200464,
        AUTHOR = "Zhou, C.J. and Wu, M.Q. and Lam, S.K.",
        TITLE = "A Unified Multi-Task Learning Architecture for Fast and Accurate
Pedestrian Detection",
        JOURNAL = ITS,
        VOLUME = "23",
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        MONTH = "February",
        PAGES = "982-996",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195842"}

@article{bb200465,
        AUTHOR = "Lin, S. and Wu, W.H. and Wu, S. and Xu, Y. and Wong, H.S.",
        TITLE = "Unreliable-to-Reliable Instance Translation for Semi-Supervised
Pedestrian Detection",
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@article{bb200466,
        AUTHOR = "Li, G.Z. and Wu, S.",
        TITLE = "Scene-Adaptive Instance Modification for Semisupervised Pedestrian
Detection",
        JOURNAL = MultMedMag,
        VOLUME = "29",
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        MONTH = "October",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195844"}

@inproceedings{bb200467,
        AUTHOR = "Wu, S. and Lin, S. and Wu, W.H. and Azzam, M. and Wong, H.S.",
        TITLE = "Semi-Supervised Pedestrian Instance Synthesis and Detection With
Mutual Reinforcement",
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        YEAR = "2019",
        PAGES = "5056-5065",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195845"}

@article{bb200468,
        AUTHOR = "Kim, J.U. and Park, S. and Ro, Y.M.",
        TITLE = "Uncertainty-Guided Cross-Modal Learning for Robust Multispectral
Pedestrian Detection",
        JOURNAL = CirSysVideo,
        VOLUME = "32",
        YEAR = "2022",
        NUMBER = "3",
        MONTH = "March",
        PAGES = "1510-1523",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195846"}

@article{bb200469,
        AUTHOR = "Park, S. and Kim, H. and Ro, Y.M.",
        TITLE = "Robust pedestrian detection via constructing versatile pedestrian
knowledge bank",
        JOURNAL = PR,
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@inproceedings{bb200470,
        AUTHOR = "Park, S. and Kim, J.U. and Song, J.M. and Ro, Y.M.",
        TITLE = "Robust Multispectral Pedestrian Detection Via Spectral Position-Free
Feature Mapping",
        BOOKTITLE = ICIP23,
        YEAR = "2023",
        PAGES = "1795-1799",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195848"}

@inproceedings{bb200471,
        AUTHOR = "Park, S. and Kim, J.U. and Kim, Y.G. and Moon, S.K. and Ro, Y.M.",
        TITLE = "Robust Multispectral Pedestrian Detection via Uncertainty-aware
Cross-modal Learning",
        BOOKTITLE = MMMod21,
        YEAR = "2021",
        PAGES = "I:391-402",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195849"}

@article{bb200472,
        AUTHOR = "Wang, Y. and Cao, C. and Kato, J.",
        TITLE = "Discriminative Part CNN for Pedestrian Detection",
        JOURNAL = IEICE,
        VOLUME = "E105-D",
        YEAR = "2022",
        NUMBER = "3",
        MONTH = "March",
        PAGES = "700-712",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195850"}

@article{bb200473,
        AUTHOR = "Ryu, J.W. and Kim, J.C. and Kim, H. and Kim, S.",
        TITLE = "Multispectral interaction convolutional neural network for pedestrian
detection",
        JOURNAL = CVIU,
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@article{bb200474,
        AUTHOR = "Islam, M.M. and Newaz, A.A. and Karimoddini, A.",
        TITLE = "Pedestrian Detection for Autonomous Cars:
Inference Fusion of Deep Neural Networks",
        JOURNAL = ITS,
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@article{bb200475,
        AUTHOR = "Liu, W. and Hasan, I. and Liao, S.C.",
        TITLE = "Center and Scale Prediction: Anchor-free Approach for Pedestrian and
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@inproceedings{bb200476,
        AUTHOR = "Khan, A.H. and Munir, M. and van Elst, L. and Dengel, A.",
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        BOOKTITLE = "ICPR22",
        YEAR = "2022",
        PAGES = "4658-4664",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195854"}

@article{bb200477,
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        TITLE = "Intelligent multimodal pedestrian detection using hybrid
metaheuristic optimization with deep learning model",
        JOURNAL = IVC,
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        TITLE = "Pedestrian Detection by Exemplar-Guided Contrastive Learning",
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        TITLE = "Cascade Transformer Decoder Based Occluded Pedestrian Detection With
Dynamic Deformable Convolution and Gaussian Projection Channel
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@article{bb200480,
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        TITLE = "Transformer-Based Context Condensation for Boosting Feature Pyramids in
Object Detection",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195858"}

@inproceedings{bb200481,
        AUTHOR = "Chen, Z. and Zhang, J. and Tao, D.C.",
        TITLE = "Recurrent Glimpse-based Decoder for Detection with Transformer",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "5250-5259",
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@article{bb200483,
        AUTHOR = "Jeevarajan, M.K. and Nirmal Kumar, P.",
        TITLE = "Reconfigurable Pedestrian Detection System Using Deep Learning for
Video Surveillance",
        JOURNAL = IEICE,
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        MONTH = "September",
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@article{bb200484,
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Anchor-Free Network for Pedestrian Detection",
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        NUMBER = "9",
        MONTH = "September",
        PAGES = "4948-4961",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195862"}

@article{bb200485,
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        TITLE = "OADB-Net: An Occlusion-Aware Dual-Branch Network for Pedestrian
Detection",
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        NUMBER = "2",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195863"}

@article{bb200486,
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hazy weather conditions",
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        YEAR = "2025",
        NUMBER = "1",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f732np1.html#TT195865"}

@article{bb200488,
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@article{bb200490,
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@inproceedings{bb200492,
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@inproceedings{bb200494,
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@inproceedings{bb200495,
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@inproceedings{bb200496,
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@inproceedings{bb200497,
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@inproceedings{bb200498,
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@inproceedings{bb200499,
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