一、基本信息
出生年月：1995年5月
职称：讲师（师资博士后）
最高学位：博士研究生
主要研究方向：计算机视觉、三维重建
工作单位：计算机与人工智能学院
邮箱：suwanjuan@whut.edu.cn
二、教育及工作经历
2025.04-至今 银河集团9873com，计算机与人工智能学院，讲师（师资博士后）
2020.09-2024.12华中科技大学，控制科学与工程，博士
2017.09-2020.06中国地质大学（武汉），控制科学与工程，硕士
2013.09-2017.06中国地质大学（武汉），自动化，学士
三、近期代表性学术成果
1.W. Su, W. Tao. Context-aware multi-view stereo network for efficient edge-preserving depth estimation[J]. International Journal of Computer Vision, 2025. (CCF-A类期刊)
2.W. Su, C. Zhang, Q. Xu, W. Tao. PSDF: Prior-driven neural implicit surface learning for multi-view reconstruction[J]. IEEE Transactions on Visualization and Computer Graphics, 2024. (CCF-A类期刊)
3.W. Su, W. Tao. Efficient edge-preserving multi-view stereo network for depth estimation[C]. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 2, pp. 2348-2356, 2023. (CCF-A类会议)
4.W. Su,Q. Xu, W. Tao. Uncertainty guided multi-view stereo network for depth estimation[J]. IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 11, pp. 7796-7808, 2022. (CCF-B类期刊)
5. C. Zhang, W. Su, Q. Xu, X. Liao, W. Tao. PG-NeuS: Robust and efficient point guidance for multi-view neural surface reconstruction[J]. IEEE Transactions on Visualization and Computer Graphics, 2024. (CCF-A类期刊)
6. Q. Xu, W. Su,Y. Qi, W. Tao, M. Pollefeys. Learning inverse depth regression for pixelwise visibility-aware multi-view stereo networks[J]. International Journal of Computer Vision, vol. 130, no. 8, pp. 2040-2059, 2022. (CCF-A类期刊)
7. X. Li, C. Zhang, W. Su, W. Tao. IINet: Implicit intra-inter information fusion for real-time stereo matching [C]. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 4, pp. 3225-3233, 2024. (CCF-A类会议)