Conghao Wong (also Conghao Wang or 王聪皓) is currently a PhD Student in Huazhong University of Science and Technology, Wuhan, Hubei, China. His research interest includes computer vision and pattern recognition, and he is now working in the field of pedestrian trajectory prediction.
Education
2022 - Present: PhD Student, Huazhong University of Science and Technology
2019 - 2022: MS Student, Huazhong University of Science and Technology
2015 - 2019: Undergrad Student, China University of Geosciences
Publications
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B. Xia, C. Wong, Q. Peng, and X. You. Another vertical view: A hierarchical network for heterogeneous trajectory prediction via spectrums. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
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C. Wong, Z. Zou, B. Xia, and X. You. Resonance: Learning to predict social-aware pedestrian trajectories as co-vibrations. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025.
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Z. Zou, C. Wong, B. Xia, Q. Peng, and X. You. Who walks with you matters: Perceiving social interactions with groups for pedestrian trajectory prediction. arXiv preprint arXiv:2412.02395, 2024.
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C. Wong, B. Xia, Z. Zou, and X. You. Socialcircle+: Learning the angle-based conditioned interaction representation for pedestrian trajectory prediction. arXiv preprint arXiv:2409.14984, 2024.
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C. Wong, B. Xia, Z. Zou, Y. Wang, and X. You. SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.
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C. Wong, B. Xia, Q. Peng, W. Yuan, and X. You. Msn: multi-style network for trajectory prediction. IEEE Transactions on Intelligent Transportation Systems, 24:9751 – 9766, 2023.
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C. Wong, B. Xia, Z. Hong, Q. Peng, W. Yuan, Q. Cao, Y. Yang, and X. You. View vertically: A hierarchical network for trajectory prediction via fourier spectrums. In European Conference on Computer Vision, pages 682–700. Springer, 2022.
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B. Xia, C. Wong, Q. Peng, W. Yuan, and X. You. Cscnet: Contextual semantic consistency network for trajectory prediction in crowded spaces. Pattern Recognition, page 108552, 2022.
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Q. Mou, L. Wei, C. Wang, D. Luo, S. He, J. Zhang, H. Xu, C. Luo, and C. Gao. Unsupervised domain-adaptive scene-specific pedestrian detection for static video surveillance. Pattern Recognition, page 108038, 2021.