邹勤，武汉大学计算机学院/机器人系教授，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/ )；主持/参与国家重点研发计划课题、国家自然科学基金、省重点研发计划专项等科研项目20余项；在 IJCV / IEEE T-IP / IEEE T-NNLS / IEEE CVPR / ICCV / ICRA 等国际期刊和会议发表论文100余篇，单篇引用超1000次3篇，连续5年入选全球前2%顶尖科学家榜单 (斯坦福大学发布，2021-2025)；担任 SCI 期刊 Signal, Image and Video Processing 编委 (Associate Editor)；担任国际学术会议 CVPR、ICCV、NIPS、ICRA 和 IROS 程序委员；担任 CSIG 三维视觉专业委员会、CCF 智能机器人专业委员会委员；研发机器视觉缺陷检测技术及装备，获教育部科技进步一等奖 (2009)、国家技术发明二等奖 (2015) ；研发仿生视觉与协同感知技术，获IEEE 车辆技术协会 (VTS) 最佳论文奖 (2025)、自然资源科技进步一等奖 (2025)。

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、博士生

1 机器人 - 机器人运动控制（Robot LocoMotion）

2 机器人 - 人脸机器人、仿生眼（Humanoid Face Robot / Bionic Eye）

3 机器视觉 - 机器人定位与建图（Robot SLAM）

4 机器视觉 - 缺陷/异常检测（Defect / Anomaly Detection）

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：

X. Qi, Y. He, J. Ye, C. Li, B. Zi, X. Dai, Q. Zou, R. Xiao, Taming Transformer Without Using Learning Rate Warmup, International Conference on Learning Representations (ICLR), 2025.

J. Cheng, Z. Yan, Y. Zhang, L. Hao, J. Ai, Q. Zou, C. Li, Z. Wang, Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Y. Cao, J. Zhang, Z. Yu, S. Liu, Z. Qin, Q. Zou, B. Du, K. Xu, Cognav: Cognitive Process Modeling for Object Goal Navigation with LLMs, IEEE International Conference on Computer Vision (ICCV), 2025.

B. Li, J. Li, X. Liu, R. Xu, Z. Tu, J. Guo, Q. Zou, X. Li, H. Yu, V2x-dgw: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions, IEEE International Conference on Robotics and Automation (ICRA), 2025.

S. Du, Q. Zou, C. Chen, B. Yang, Dual-Frequency Spatio-Temporal Phase Unwrapping, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

J. Cheng, Y. Zhang, Q. Zou, Z. Yan, C. Liang, Z. Wang, C. Li, D4: Explicit Data-Level Debiasing for Deepfake Detection, IEEE Transactions on Image Processing, 2025.

W. Li, Q. Zou, Co-Fix3D: Enhancing 3D Object Detection with Collaborative Refinement, IEEE Robotics and Automation Letters, 2025.

Y. Xu, C. Chen, B. Yang, W. Wu, S. Sun, Z. Wang, L. Li, Q. Zou, ATCM: Aerial-Terrestrial LiDAR-based Collaborative Simultaneous Localization and Mapping, IEEE Transactions on Geoscience and Remote Sensing, 2025.

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. Yue, Y. Wang, L. Shi, Z. Wang, Q. Zou, SF-Gait: Two-Stage Temporal Compression Network for Learning Gait Micro-Motions and Cycle Patterns, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024.

J. Hua, Z. Wang, Q. Zou, J. Xiao, X. Tian, Y. Zhang, Re-decoupling the Classification Branch in Object Detectors for Few-class Scenes, Pattern Recognition, 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）

2025 中国国际高新技术成果交易会“优秀科研成果创新奖”

2025 自然资源科技进步一等奖

2019 湖北省自然科学二等奖

2015 国家技术发明二等奖

2009 教育部科技进步一等奖

2025 IEEE 车辆技术协会(VTS) 最佳论文奖

2025 CCF智能机器人学术年会 优秀论文奖