田时舜
博士、澳门3044永利助理教授、硕士生导师。分别于2012年、2015年和2019年获四川大学电子科学与技术专业学士、中国科学院长春光学精密机械与物理研究所光学工程专业硕士和法国国立应用科学学院信号、图像与视觉专业博士学位。2019年7月至今任澳门3044永利助理教授，获评深圳市"孔雀计划"海外高层次人才C类。长期从事图像/视频质量评价、3D感知、计算机视觉、深度学习等领域的教学和研究工作。在IEEE TIP、IEEE TMM、IEEE TCE、Neurocomputing等顶级期刊和会议上发表论文十余篇。受邀担任IEEE TIP、IEEE TMM、ACM SIGGRAPH、IEEE CVPR、IEEE ICME等多个知名期刊、会议的审稿人。国际视频质量专家组 (VQEG, Video Quality Experts Group) 贡献两项。
邮箱:
stian@szu.edu.cn
办公地址：深圳市南山区南海大道3688号我校沧海校区致信楼N605
教授课程:
数字图像处理（本科生）
计算机视觉算法及其应用（研究生）
主持科研项目:
国家自然科学基金青年科学基金项目， 面向机器视觉感知的轻量级无参考图像质量评价与应用研究， 2022年1月至 2024年12月，30万
广东省自然科学基金面上项目，面向视障人士出行辅助的轻量级复杂道路环境感知与理解， 2022年1月至 2024年12月，10万
深圳市高层次人才项目，2022年1月-2024年12月，290万
我校青年教师科研启动项目，2019年7月-2022年6月，20万
部分代表性论文（#共同一作，*通讯作者）：
[1]. S. Tian#, M. Zheng#, W. Zou*, X. Li and L. Zhang, "Dynamic Crosswalk Scene Understanding for the Visually Impaired". IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021.
[2]. W. Zou, Z. Zhang, Y. Peng, C. Xiang, S. Tian*, L. Zhang. “SC-RPN: A Strong Correlation Learning Framework for Region Proposal”. IEEE Transactions on Image Processing, vol. 30, pp. 4084-4098, 2021.
[3]. W. Zou, D. Wu, S. Tian*, C. Xiang, X. Li, L. Zhang. “End-to-end 6DoF Pose Estimation from Monocular RGB Images”. IEEE Transactions on Consumer Electronics, Volume: 67, Issue: 1, Feb. 2021.
[4]. S. Tian, L. Zhang, W. Zou*, X. Li, T. Su, L. Morin, O. Déforges, “Quality assessment of DIBR-synthesized views: An overview”, Neurocomputing, Volume 423, 2021, Pages 158-178.
[5]. S. Tian*, L. Zhang, L. Morin, O. Deforges. “NIQSV+: A No Reference Synthesized View Quality Assessment Metric”. IEEE Transactions on Image Processing, Volume: 27, Issue: 4, April 2018.
[6]. S. Tian*, L. Zhang, L. Morin, O. Deforges. “A benchmark of DIBR Synthesized View Quality Assessment Metrics on a new database for Immersive Media Applications”. IEEE Transactions on Multimedia, Volume: 21, Issue: 5, May 2019.
[7]. S. Tian, Z. Chen, B. Chen, W. Zou*, X. Li "Channel and spatial attention-based Siamese network for visual object tracking," Journal of Electronic Imaging 30(3), 033008 (21 May 2021).
[8]. W. Zou, S. Zhuo, Y. Tang, S. Tian*, X. Li, C. Xu, “STA3D: spatiotemporally attentive 3D network for video saliency prediction”, Pattern Recognition Letters, 2021.
[9]. C. Xiang, Z. Wang, S. Tian, J. Liao, W. Zou* and C. Xu, "Matrix Capsule Convolutional Projection for Deep Feature Learning," in IEEE Signal Processing Letters, vol. 27, pp. 1899-1903, 2020.
[10]. Y. Huang, Y. Zhou*, B. Hu, S. Tian, J. Yan, "DIBR-synthesised video quality assessment by measuring geometric distortion and spatiotemporal inconsistency." Electronics Letters 56.24 (2020): 1314-1317.
[11]. L. Zhang*, I. Saidi, S. Tian, V. Barriac, O. Deforges, “An overview of full-reference video quality metrics and their performance evaluations for videoconferencing application”. Journal of Electronic Imaging, 2019.
[12]. S. Tian, L. Zhang, L. Morin, O. Deforges. “NIQSV: A No Reference Image Quality Assessment Metric for 3D Synthesized Views”. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2017, New Orleans, USA.
[13]. S. Tian, L. Zhang, L. Morin, O. Deforges. “A full-reference Image Quality Assessment metric for 3D Synthesized Views”. Image Quality and System Performance Conference, at IS&T Electronic Imaging 2018, 28 January – 1 February 2018, Burlingame, California, USA.
[14]. S. Tian, L. Zhang, L. Morin, O. Deforges. “Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms”. SPIE Optical Engineering + Applications, August 2018, San Diego, California, USA.
[15]. S. Tian, L. Zhang, L. Morin, O. Deforges. “SC-IQA: Shift compensation based image quality assessment for DIBR-synthesized views”. IEEE international conference on Visual Communications and Image Processing (VCIP), December 2018.
期刊或会议审稿：
IEEE Transactions on Image Processing
IEEE Transactions on Multimedia
IEEE Signal Processing Letters
IEEE International Conference on Computer Vision and Pattern Recognition, 2020 & 2021
IEEE International Conference on Multimedia and Expo, 2020 & 2021
ACM SIGGRAPH Asia 2019
专利：
1.陈柏霖，邹文斌，田时舜，李霞. 基于注意力机制与孪生网络的目标跟踪方法及相关设备， CN111192292A
2.邹文斌，彭文韬，田时舜，李霞，徐晨. 一种点云分类方法、分割方法及相关设备， CN111242208A
3.张正宇，邹文斌，彭映青，向灿群，田时舜，邹光明. 一种区域建议框检测方法、终端及存储介质，CN112287947A
4.彭映青，邹文斌，张正宇，田时舜，李霞，邹光明. 门机制引导边缘信息蒸馏的RGB-D图像语义分割方法及终端，CN112634296A
