姓名: 邹勤
主页:
性别:男
职称:副教授 (博导,硕导)
学历学位:博士
电话:
办公地点:A509
E-mail:qzou ▇ whu.edu.cn 请手工替换符号
领域:计算机视觉,模式识别,人工智能
招生信息:年度招收硕士2名,招收方向:计算机科学与技术(学硕),软件工程(学硕),计算机技术(专硕),软件工程(专硕)。 招收博士1名,招收方向:计算机科学与技术,软件工程。
讲授课程:
《数据结构》、《计算机新技术》、《数字图像处理》
近3年论文:
Q. Wan, Q. Zou*, Learning Metric Features for Writer-Independent Signature Verification using Dual Triplet Loss, in International Conference on Pattern Recognition, 2020.
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, 2020.
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. Zhao, Q. Wang, Q. Zou*,Y. Zhang, Y. Chen, Privacy-preserving collaborative deep learning with unreliable participants, IEEE Transactions on Information Forensics and Security, 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, 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:
2019湖北省自然科学二等奖
2016全国大学生信息安全竞赛一等奖-"优秀指导教师"
2015国家技术发明二等奖
2009教育部科技进步一等奖
招收计算机视觉、模式识别和机器学习方向的硕士和博士生:
1 视觉目标姿态估计(Object Pose Estimation)
2 机器人视觉感知(Robotics – Visual Perception)
3 机器人视觉导航(Robotics–Visual SLAM)
4 深度哈希图像检索 (Deep Hashing Image Retrieval)
5 深度学习目标检测(Deep Learning Object Detection)
6 结构光辅助的三维重建(Structure-light 3D Reconstruction)
详细信息:http://mvr.whu.edu.cn/