近年部分科研项目：

• 主持，视频人体运动的层级时空模式表示与识别（国家自然科学基金面上项目，在研）
• 主持，视觉人体运动的贝叶斯学习、分析与合成（国家自然科学基金面上项目，结题）
• 主持，人体运动视觉分析中的动态隐结构模型研究（国家自然科学基金面上项目，结题）
• 主持，视频人体行为分析技术（企业合作-华为，结题）
• 主持，VRU意图识别和预测技术合作项目（企业合作-华为，结题）
• 主持，构建基于数据驱动的Halide性能方案技术（企业合作-华为，结题）
• 主持，基于深度学习的视觉检测算法研究（企业合作-华为，结题）
• 主持，Urban Maneuver Research（企业合作-宝马中国，结题）
• 主持，Machine Learning Based Environment Perception Research for Autonomous Driving（企业合作-宝马中国，结题）
• 参与，基于语义点云的智能汽车环境感知与建模（国家自然科学基金重点项目，骨干，结题）
• 主持，面向帕金森病早期诊断的多模态细粒度智能评估（“交大之星”（STAR） 计划重点项目，在研）
• 参与，儿童先天性心脏病个体精准化智能诊疗系统研发（“交大之星”（STAR） 计划重大项目，骨干，在研）

部分代表性论文

1. [1] Z. Zhao, D. Wang, and X. Zhao*, “Movement Enhancement toward Multi-Scale Video Feature Representation for Temporal Action Detection,” in ICCV 2023.
2. [2] X. Wan, Z. Chen, and X. Zhao*, “View Consistency Aware Holistic Triangulation for 3D Human Pose Estimation,” Computer Vision and Image Understanding., 2023.
3. [3] Y. Deng, B. Li, Y. Yang, and X. Zhao*, “Temporally Consistent Reconstruction of 3D Clothed Human Surface with Warp Field,” Image Vision Computing, 2023.
4. [4] Y. Bao, X. Zhao*, and D. Qian*, “FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation,” IEEE Transactions Multimedia, 2023.
5. [5] Y. Ni and X. Zhao*, “3DTRIP: A General Framework for 3D Trajectory Recovery Integrated With Prediction,” IEEE Robotics and Automation Letters, 2023.
6. [6] Z. Chen, X. Zhao*, and X. Wan, “Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation,” in ECCV, 2022.
7. [7] Y. Zhang, X. Zhao*, and D. Qian*, “Learning-Based Distortion Correction and Feature Detection for High Precision and Robust Camera Calibration,” IEEE Robotics and Automation Letters, 2022.
8. [8] H. Zhang, X. Zhao*, and D. Wang, “Semi-supervised Learning for Multi-label Video Action Detection,” in ACM International Conference on Multimedia. 2022.
9. [9] S. Zhang, X. Zhao*, and L. Fang, “CAT: Corner Aided Tracking With Deep Regression Network,” IEEE Transactions on Multimedia, 2021.
10. [10] H. Su, X. Zhao*, T. Lin, S. Liu, and Z. Hu, “Transferable Knowledge-Based Multi-Granularity Fusion Network for Weakly Supervised Temporal Action Detection,” IEEE Transactions on Multimedia, 2021.
11. [11] Z. Sui, Y. Zhou, X. Zhao*, A. Chen, and Y. Ni, “Joint Intention and Trajectory Prediction Based on Transformer,” in IROS, 2021.
12. [12] X. Song, X. Zhao*, L. Fang, H. Hu, and Y. Yu, “EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection,” International Journal of Computer Vision, 2020.
13. [13] T. Lin, X. Zhao*, and H. Su, “Joint Learning of Local and Global Context for Temporal Action Proposal Generation,” IEEE Transactions on Circuits System and Video Technology, 2020.
14. [14] Y. Qian, M. Yang, X. Zhao, C. Wang, and B. Wang, “Oriented Spatial Transformer Network for Pedestrian Detection Using Fish-Eye Camera,” IEEE Transactions on Multimedia, 2020.
15. [15] Z. Fan, X. Zhao*, T. Lin, and H. Su, “Attention-Based Multiview Re-Observation Fusion Network for Skeletal Action Recognition,” IEEE Transactions on Multimedia, 2019.
16. [16] X. Song, X. Zhao*, L. Fang, and T. Lin, “Discriminative representation combinations for accurate face spoofing detection,” Pattern Recognition, 2019.
17. [17] T. Lin, X. Zhao*, H. Su, C. Wang, and M. Yang, “BSN: Boundary Sensitive Network for Temporal Action Proposal Generation,” in ECCV, 2018.
18. [18] Y. Zou, X. Zhao*, and Y. Liu, “Measuring Crowd Collectiveness by Macroscopic and Microscopic Motion Consistencies,” IEEE Transactions on Multimedia, 2018.
19. [19] S. Zhang, X. Zhao*, L. Fang, H. Fei, and H. Song, “LED: Localization-Quality Estimation Embedded Detector,” in ICIP, 2018. (IEEE SPS Best Paper Award)
20. [20] X. Song, X. Zhao*, H. Hu, and L. Fang, “EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching,” in ACCV, 2018. (Best Paper Award Honorable Mention)
21. [21] T. Lin, X. Zhao*, and Z. Shou, “Single Shot Temporal Action Detection,” in ACM Multimedia 2017.
22. [22] L. Wang, X. Zhao*, Y. Si, L. Cao, and Y. Liu, “Context-Associative Hierarchical Memory Model for Human Activity Recognition and Prediction,” IEEE Transactions on Multimedia, 2017.
23. [23] X. Zhao, X. Li, Z. Wu, Y. Fu, and Y. Liu, “Multiple Subcategories Parts-Based Representation for One Sample Face Identification,” IEEE Transactions on Information Forensics and Security, 2013.
24. [24] X. Zhao, Y. Liu, and Y. Fu, “Exploring discriminative pose sub-patterns for effective action classification,” in ACM Multimedia, 2013.
25. [25] Z. Wu, X. Li, X. Zhao*, and Y. Liu*, “Hybrid generative-discriminative recognition of human action in 3D joint space,” in ACM Multimedia, 2012.
26. [26] X. Zhao, K.-H. Lin, Y. Fu, Y. Hu, Y. Liu, and T. S. Huang, “Text From Corners: A Novel Approach to Detect Text and Caption in Videos,” IEEE Transactions on Image Processing, 2011.
27. [27] X. Zhao, Y. Fu, and Y. Liu, “Human Motion Tracking by Temporal-Spatial Local Gaussian Process Experts,” IEEE Transactions on Image Processing, 2011.
28. [28] X. Zhao, Y. Fu, H. Ning, L. Yuncai, and T. S. Huang, “Human Pose Regression Through Multiview Visual Fusion,” IEEE Transactions on Circuits System and Video Technology, 2010.
29. [29] X. Li, X. Zhao*, Y. Fu, and Y. Liu, “Bimodal Gender Recognition from Face and Fingerprint,” in CVPR, 2010.
    
30. [30] X. Zhao, and Y. Liu, “Generative tracking of 3D human motion by hierarchical annealed genetic algorithm,” Pattern Recognition, 2008.

2021，全国人工智能创新应用大赛一等奖 （指导老师）

2020，MEDIA AI阿里巴巴文娱算法挑战赛冠军（指导老师）

2018，IEEE Signal Processing Society Conference Best Paper Award （Industry）

2018，ACCV 2018 Best Paper Award Honorable Mention

2018，ActivityNet-Large Scale Activity Recognition Challenge (CVPR)，Temporal Action Localization 单项冠军（指导老师）

2018，ActivityNet-Large Scale Activity Recognition Challenge (CVPR)，Temporal Action Proposals 单项亚军（指导老师）

2017，ActivityNet-Large Scale Activity Recognition Challenge (CVPR)，Temporal Action Localization 单项冠军（指导老师）

2017，ActivityNet-Large Scale Activity Recognition Challenge (CVPR)，Temporal Action Proposals 单项冠军（指导老师）

2017，第十届英特尔杯全国大学生软件创新大赛二等奖（优秀指导老师）

2014，上海市优秀博士论文奖

2014，第十七届全国图象图形学学术会议（NCIG2014）优秀论文奖

2012，上海交通大学优异学士论文奖（指导老师，与刘允才教授共同指导）

2011，AMD中国加速计算竞赛冠军（指导老师）

计算机视觉（AU7005，研究生课程，英文授课)

计算机视觉（AI4701，本科生课程，中文授课）

数字图像处理基础（AU3304 ，本科生课程，英文授课）

• 研究生：招收普/直博，学/专硕，欢迎校内外优秀本科生和硕士生咨询联系。
• 博士后：招收博士后研究员，享受上海交通大学博士后福利待遇，表现突出者给予额外补贴。
• 本科生：招收优秀本科生进入实验室开展实习、科研、毕设工作。
• 联系方式：zhaoxu@sjtu.edu.cn