李东

个人信息Personal Information

副教授

硕士生导师

教师拼音名称：Li Dong

入职时间：2015-01-06

所在单位：自动化学院

在职信息：在职

其他联系方式Other Contact Information

邮箱 :

个人简介Personal Profile

研究方向：

[1] 计算机视觉、模式识别、深度学习

[2] 描述子生成匹配、特征提取

[3] 三维重建、Nerf、点云分析、SLAM

[4] 表情、微表情、人脸动作单元识别

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部分发表论文：

1. Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Dong Li, Yun Zhang; Two Stage Dehazing Framework for Dense and Non-Homogeneous Dehazing. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 6722-6731

2. Dong Li, Haowen Liang, K.M. Lam. AFSRNet: Learning Local Descriptors with Adaptive Multi-Scale Feature Fusion and Symmetric Regularization[J]. Applied Intelligence.2024. (SCI)

3. S Luo, J Xiao, D Li, M Jian. "Periodic-Aware Network for Fine-Grained Action Recognition." Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Singapore: Springer Nature Singapore, 2023.

4. Xiaodong Wang, Xianxian Zeng, Yun Zhang, Dong Li, Weijun Yang: Learning soft threshold for sparse reparameterization using gradual projection operators. Neurocomputing 488: 381-390 (2022)

5. Xiaodong Wang, Xianxian Zeng, Yun Zhang, Kairui Chen, Dong Li: Improved fine-grained object retrieval with Hard Global Softmin Loss objective. Signal Process. Image Commun. 100: 116515 (2022)

6. Chen, X., Li, D., Zhang, Y., & Jian, M. Interactive Attention Sampling Network for Clinical Skin Disease Image Classification. In Chinese Conference on Pattern Recognition and Computer Vision (PRCV) (pp. 398-410). 2021 (Oral).

7. Zehui Gong, Dong Li^*, Jiatai Lin, Yun Zhang, Kin-Man Lam. Towards accurate pulmonary nodule detection by representing nodules as points with high-resolution network. IEEE Access, 2020.

8. Xianxian Zeng, Yun Zhang, Xiaodong Wang, Kairui Chen, Dong Li and Weijun Yang, Fine Grained Image Retrieval via Piecewise Cross Entropy loss [J]. Image and Vision Computing, 2020. (SCI)

9. Xianxian Zeng, Xiaodong Wang, Kairui Chen, Dong Li, Yun Zhang and Kin-Man Lam, Deeply learned pore-scale facial features with a large pore-to-pore correspondences dataset [J]. Pattern Recognition Letter, 2020. (SCI)

10. Xianxian Zeng, Xiaodong Wang, Kairui Chen, Yun Zhang^*, Dong Li^*, Dividing the neighbors is Not enough: Adding confusion makes local descriptor stronger. IEEE Access, 2019.

11. Jin Zhigang, Li Jingkun, Li Dong. Co-Saliency Detection for RGBD Images Based on Effective Propagation Mechanism[J]. IEEE Access. 2019,7:141311-141318.(SCI)

12. Xiaodong Wang, Xianxian Zeng, Yi Lyu, Kairui Chen, Yun Zhang*, Dong Li*, A Deep Quadruplet Network for Local Descriptor Learning [J]. IEEE Access, 2019. (SCI)

13. Jisheng Yang, Xianxian Zeng, Yun Zhang, Dong Li, Power Line Corridor LiDAR Point Cloud Segmentation Using Convolutional Neural Network, PRCV, 2019

14. Xiaorui Hu, Dong Li, Xianxian Zeng, Jingyi Lin, Yun Zhang, A Visualization Method of Facial Expression Deformation Based on Pore-Scale Facial Feature Matching，the 38th Chinese Control Conference，2019

15. Jingyi Lin, Xiaorui Hu, Dong Li, Yun Zhang. SeqNet: An Interest Point Detector Based on Unsupervised Learning. 38th Chinese Control Conference, 2019.

16. Jingyi Lin, Zijian Guo, Dong Li, Xiaorui Hu, Yun Zhang. Automatic Classification of Clinical Skin Disease Images with Additional High-Level Position Information. 38th Chinese Control Conference, 2019.

17. Shun-Cheung Lai, Minna Kong, Kin-Man Lam, and Dong Li, “High-resolution face recognition via deep pore-feature matching,” IEEE ICIP2019.

18. Zen Xianxian, Wang Xiaodong, Chen Kairui, Ye Peichu, Hu Xiaorui, , Zhang Yun,Li Dong，High-Quality Facial Keypoints Matching with Motion Smoothness Constraint and 3D Model Constraint, International Conference on Pattern Recognition (ICPR), 2018. (EI 会议)

19. Hailiang Li, Kin-Man Lam, and Dong Li, “Joint Maximum Purity Forest with Application to Image Super-Resolution,” Journal of Electronic Imaging, 27(4), 2018.(SCI)

20. Xianxian Zeng， Dong Li，Yun Zhang，K.M. Lam，Pore-Scale Facial Features Matching Under 3D Morphable Model Constraint，CCF Chinese Conference on Computer Vision，2017

21. Xiaodong Wang，Yuwei Liang，Xianxian Zeng， Dong Li，Wei Jia，Deeply Learned Pore-Scale Facial Features，Chinese Conference on Biometric Recognition，2017

22. Dong Li, Huiling Zhou, and Kin-Man Lam^*, "High-Resolution Face Verification Using Pore-scale Facial Features," IEEE Trans. on Image Processing, vol. 142, pp. 117-123, 2015.

23. Dong Li and Kin-Man Lam^*, "Design and Learn Distinctive Features from Pore-scale Facial Keypoints," Pattern Recognition, Vol. 48, No. 3, pp. 732-745, 2015.

24. Dong Li, Xudong Xie and Kin-Man Lam, Color Correction with Blind Image Restoration based on Multiple Images Using a Low-Rank Model, Journal of Electronic Imaging, 23(2), pp.023010-023010, 2014. doi:10.1117/1.JEI.23.2. 023010. (SCI)

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部分授权专利：

地铁异物检测方法、装置、设备及地铁屏蔽门系统	兰上炜,李东,曾宪贤,梁健,吕誉,谢凯佳	CN201610600750.1
一种肌肉形变检测装置	章云,刘彪,黄之峰,刘治,管贻生,朱海飞,陈玮,李东	CN201710083347.0
一种基于卷积特征图匹配的人脸识别方法及系统	叶培楚,曾宪贤,王晓东,李东,章云	CN201811237368.4
一种基于皮肤特性评价的护肤产品的推荐方法及系统	曾俊桦,李东	CN201710706990.4
一种提取人脸图像毛孔特征的方法与装置	王晓东,梁煜伟,李东,章云,刘治	CN201710651809.4
一种基于L1范数神经网络的身份验证方法及装置	范为铨,李东	CN201710651409.3
一种人体重心高度测量方法、装置及相关设备	李东,龚泽辉,张国生,颜文泽,陈子韬	CN201810961873.7
一种人脸检测器的测试方法、装置、设备以及存储介质	郭梓坚,李东,王晓东,曾宪贤,胡晓瑞	CN201810954713.X
基于深度学习的人脸微表情识别系统	龚泽辉,李东,张国生,冯省城	CN201910758794.0
一种人脸毛孔跟踪方法及系统	冯省城,李东,王颖,王永华,庄洪生,汪生	CN201811313361.6
一种局部图像特征提取方法、装置、系统及可读存储介质	林璟怡,李东,章云,曾宪贤,王晓东	CN201810870557.9
一种智能高效机载雷达点云分析方法	黄茂春,彭泽鑫,罗锦浩,李东,章云	CN201811571777.8
实现眼球三维视线跟踪的方法、装置、设备及存储介质	张国生,李东,冯广,章云	CN201811375929.7
人脸三维模型重建方法、装置、设备、系统及移动终端	李东,冯省城,王永华,曾宪贤	CN201810961013.3
一种基于深度学习的皮肤图像实际面积估算方法	李东,彭国豪,王颖,庄洪林	CN201910385989.5
一种人员检测方法、装置、设备及介质	罗锦浩,王颖,李东,庄洪林,王晓海	CN201811645930.7
一种基于机载LiDAR点云的杆塔提取方法	严寿麟,曹睿,黄茂春,李东,章云	CN201910176449.6
带属性人脸图像生成方法、装置、系统及可读存储介质	胡晓瑞,李东,章云,王晓东,曾宪贤	CN201810961021.8
一种雷达电力巡检的点云数据配准方法、装置及设备	曹睿,严寿麟,杨积升,李东,章云	CN201910238070.3