Personal Information
Doctoral Supervisor
Gender:Male
Education Level:With Certificate of Graduation for Doctorate Study
Status:Employed
School/Department:计算机学院
E-Mail:8e955d232a8a51019f0a0b5cb278aa7dbe0ec99ca5f4768df4533c0f83dc22acc125f99ac8b435ff025821eab4ab458cc26f4ea8abb6a41c031d35dc78abaabc0daa65594147c1f0d7c0a02b0873f7280ca5fa8fd4e6c67442561404ff8d17955bb28f05745e4c0ffd620454bc26c5879adab1d674b41c6c58943004d66453b3
Personal Profile
邹勤,教授,博士生导师,人工智能研究所副所长,IEEE/CCF高级会员;武汉大学信息工程学士,武汉大学与美国 University of South Carolina 联合培养博士。研究领域为机器视觉与机器人 (实验室网址:http://mvr.whu.edu.cn/ );在机器视觉工业检测方面做出创新成果和应用,获教育部科技进步奖一等奖 (2009),国家技术发明二等奖 (2015) 和湖北省自然科学二等奖 (2019);在 IJCV / IEEE T-IP / IEEE T-MM / IEEE T-NNLS / IEEE CVPR / ICRA 等国际期刊和会议发表论文80篇,单篇最高引用900余次;担任 SCI 期刊 IEEE Transactions on Intelligent Vehicles、Signal Image and Video Processing 编委 (Associate Editor);担任中国图象图形学学会三维视觉专业委员会、中国计算机学会智能机器人专业委员会委员;担任国际学术会议 CVPR、ICCV、NIPS、ICRA 和 IROS 的程序委员;主持国家自然科学基金3项。
招生方向: 计算机科学、软件工程、人工智能、电子信息、机器人技术专业的硕士、博士生
1 机器视觉 - 工业缺陷检测(Industrial Defect Detection)
2 机器视觉 - 精密三维建模(High-Precision 3D Modeling)
3 机器视觉 - 机器人运动规划(Robotic Motion Planning)
4 机器视觉 - 机器人定位与建图(Visual / LiDAR SLAM)
讲授课程:
《人工智能程序设计》、《智能机器人》、《数字图像处理》、《数据结构》
发表论文:
J. Li, R. Xu, X. Liu, B. Li, Q. Zou, J. Ma, H. Yu, S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality, IEEE International Conference on Robotics and Automation (ICRA), 2024.
Y. Bai, Q. Zou, X. Chen, L. Li, Z. Ding, L. Chen, Extreme Low-Resolution Action Recognition with Confident Spatial-Temporal Attention Transfer, International Journal of Computer Vision, 2023.
B. Huang, Z. Wang, J. Ai, j. Yang, Q. Zou, Q. Wang, D. Ye, Implicit Identity Driven Deepfake Face Swapping Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
J. Li, R. Xu, J. Ma, Q. Zou, J. Ma, H. Yu, Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather, IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
H. Xiang, Q. Zou, M. A. Nawaz, X. Huang, F. Zhang, H. Yu, Deep Learning for Image Inpainting: A Survey, Pattern Recognition, 2023.
Y. Yue, Q. Zou, H. Yu, Q. Wang, S. Wang, An End-to-End Network for Co-Saliency Detection from One Single Image, SCIENCE CHINA Information Science, 2023.
B. Huang, Z. Wang, K. Jiang, Q. Zou, X. Tian, T. Lu, Z. Han, Joint Segmentation and Identification Feature Learning for Occlusion Face Recognition, IEEE Transactions on Neural Networks and Learning Systems, 2022.
J. Chen, Z. Wang, P. Yi, K. Zeng, Z. He, Q. Zou, Gait Pyramid Attention Network: Towards Silhouette Semantic Relation Learning for Gait Recognition, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2022.
Q. Zou, L. Cao, Z. Zhang, L. Chen, S. Wang, Transductive Zero-Shot Hashing for Multilabel Image Retrieval, IEEE Transactions on Neural Networks and Learning Systems, 2022.
Q. Zou, Q. Sun, L. Chen, B. Nie, Q. Li, A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems, 2022.
S. Cao, Q. Zou, X. Mao, D. Ye, Z. Wang, Metric Learning for Anti-compression Facial Forgery Detection, in ACM International Conference on Multimedia (ACM MM), 2021.
H. Sun, Y. Lin, Q. Zou, S. Song, J. Fang, H. Yu, Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments, in IEEE International Conference on Computer Vision Workshop, 2021.
Q. Wan, Q. Zou, Learning Metric Features for Writer-Independent Signature Verification using Dual Triplet Loss, in International Conference on Pattern Recognition (ICPR), 2021.
Z. Zhang, Q. Zou, Y. Lin, L. Chen, S. Wang, Improved deep hashing with soft pairwise similarity for multi-label image retrieval, IEEE Transactions on Multimedia, 2020.
Q. Zou, Y. Wang, Q. Wang, Y. Zhao, Q. Li, Deep Learning-Based Gait Recognition Using Smartphones in the Wild, IEEE Transactions on Information Forensics and Security, 2020.
Q. Zou, H. Jiang, Q. Dai, Y. Yue, L. Chen, Q. Wang, Robust lane detection from continuous driving scenes using deep neural networks. IEEE Transactions on Vehicular Technology, 2019.
L. Chen, Q. Zou, Z. Pan, D. Lai, D. Cao, Surrounding vehicle detection using an FPGA panoramic camera and deep CNNs. IEEE Transactions on Intelligent Transportation Systems, 2019.
L. Chen, W. Zhan, W. Tian, Y. He, Q. Zou, Deep integration: a multi-label architecture for road scene recognition, IEEE Transactions on Image Processing, 2019.
S. Lin, L. Chen, Q. Zou, W. Tian, High-resolution driving scene synthesis using stacked conditional GANs and spectral normalization, in IEEE International Conference on Multimedia and Expo (ICME), 2019.
Q. Zou, Z. Zhang, Q. Li, X. Qi, Q. Wang, S. Wang, DeepCrack: learning hierarchical convolutional features for crack detection, IEEE Transactions on Image Processing, 2018.
Q. Li, Q. Zou, D. Ma, Q. Wang, S. Wang, Dating ancient paintings of Mogao Grottoes using deeply leart visual codes, SCIENCE CHINA Information Science, 2018.
Q. Zou, L. Ni, Q. Wang, Q. Li and S. Wang, Robust gait recognition by integrating inertial and RGBD sensors, IEEE Transactions on Cybernetics, 2018.
获奖情况:
2024 RoboCup机器人足球世界杯中国赛一等奖(指导教师)
2022 国际自主智能机器人大赛二等奖(指导教师)
2021 RoboCup机器人足球世界杯中国赛一等奖(指导教师)
2021 中国高校智能机器人创意大赛二等奖(指导教师)
2019 湖北省自然科学奖二等奖
2015 国家技术发明二等奖
2009 教育部科技进步一等奖
Other Contact Information
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Educational Experience
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University of South Carolina | 联合培养博士
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武汉大学 | 博士
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武汉大学 | 学士
Work Experience
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