Yuming LI (李宇明) Staff Engineer, Ant Group PhD, CityU HK Email: lymhust [at] gmail.com

Biography

Education

• Ph.D. Dept. of Electronic Engineering, City University of Hong Kong, Sep. 2013 to Jun. 2016.
• M.E. Dept. of Electronic Engineering, Huazhong University of Science and Technology, Sep. 2011 to Jun. 2013.
• B.E. Dept. of Electronic Engineering, Huazhong University of Science and Technology, Sep. 2007 to Jun. 2011.

Experience

• Staff Engineer, Alipay Biometric Group, Ant Group, Dec. 2020 to present.
• Researcher, Deep Learning Group, MiniEye, Dec. 2017 to Dec. 2020.
• Researcher, Autonomous Driving Lab, Tencent, Jul. 2016 to Nov. 2017.
• Visiting Scholar, Brain Matrix Lab , Tsinghua University, Mar. 2015 to Aug. 2015.

Research Interests

• Computer Vision and Deep Learning
  • Object Detection, Semantic Segmentation, Image/Video Quality Assessment, Face Liveness Detection, Reinforcement Learning etc.
• Multi-scale Analysis
  • Shearlet, Contourlet, Wavelet etc.
• Autonomous Driving
  • Visual Perception.

Interested Computer Languages and Libraries

• C/C++, Python3, Lua(LuaJIT), Shell, Caffe, Torch7, PyTorch, OpenCV, PyQT5, ROS etc.

Industrial Applications

• Object detection system for autonomous driving.


• Real time embedded road elements detection system.


• Real time embedded parking slot detection system.


• Facial and fingertip heart rate detection apps (Search 'CCApp' in Apple Store).


• Lane line detection in AI anti-collision (Purchase Link).

Publications

Journal Papers

1. L.M. Po, M. Liu, Y.F. Yuen, Y. Li, X. Xu, C. Zhou, P.H.W. Wong, K.W. Lau, H.T. Luk. "A Novel Patch Variance Biased Convolution Neural Network for No-Reference Image Quality Assessment," IEEE Trans. on Circuits and Systems for Video Technology (2019).
2. M. Liu, L. M. Po, YAU Rehman, X. Xu, Y. Li, L. Feng, "Video copy detection by conducting fast searching of inverted files," Multimedia Tools and Applications (2018): 1-24.
3. L.M. Po, L. Feng, Y. Li, X. Xu, C.H. Cheung, K.W. Cheung, "Block-based adaptive ROI for remote photoplethysmography," Multimedia Tools and Applications 77.6 (2018): 6503-6529.
4. L. Feng, L.M. Po, Y. Li, F. Yuan, "Face liveness detection using shearlet based feature descriptors," Journal of Electronic Imaging, 25(4), August 2016. (Youtube Demo)
5. L. Feng, L.M. Po, Y. Li, X. Xu, F. Yuan, C.H. Cheung, K.W. Cheung, "Integration of Image Quality and Motion Cues for Face Anti-Spoofing: a Neural Network Approach," Journal of Visual Communication and Image Representation, Volume 38, pp. 451-460, July 2016. (Youtube Demo)
6. Y. Li, L.M. Po, C.H. Cheung, X. Xu, L. Feng, F. Yuan, K.W. Cheung, "No-Reference Video Quality Assessment with 3D Shearlet Transform and Convolutional Neural Networks," IEEE Trans. on Circuits and Systems for Video Technology, Vol. 26, Issue 6, pp. 1044-1057, June 2015.
7. Y. Li, L.M. Po, X. Xu, L. Feng, F. Yuan, C.H. Cheung, K.W. Cheung, "No-reference image quality assessment with shearlet transform and deep neural networks," Neurocomputing, Volume 154, Pages 94–109, April 2015.
8. L. Feng, L.M. Po, X. Xu, Y. Li, R. Ma, "Motion Resistant Remote Imaging Photoplethysmography Based on Optical Properties of Skin," IEEE Trans. on Circuits and Systems for Video Technology, Vol. 25, Issue 5, pp. 879-891, October 2014.
9. Y. Li, L.M. Po, X. Xu, L. Feng, "No-reference image quality assessment using statistical characterization in the shearlet domain," Signal Processing: Image Communication, Vol. 29, Issue 7, pp. 748-75, August 2014.

Conference Papers

1. M. Liu, L. M. Po, YAU Rehman, X. Xu, Y. Li, L. Feng, "A novel inverted index file based searching strategy for video copy detection," Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2017.
2. Y. Li, J. Wang, T. Xing, T. Liu, C. Li, K. Su, "TAD16K: an enhanced benchmark for autonomous driving," IEEE International Conference on Image Processing (ICIP), September 2017.
3. Y. Li, L. M. Po, L. Feng, F. Yuan, " No-reference Image Quality Assessment with Deep Convolutional Neural Networks," Proceeding of 2016 IEEE International Conference on Digital Signal Processing (DSP), Beijing, China, 16-18 October, 2016.
4. Y. Li, L. M. Po, X. Xu, L. Feng, F. Yuan, " Face Liveness Detection and Recognition using Shearlet based Feature Descriptiors," Proceeding of 2016 International Conference on Acoustics, Speech, and Signal Processing, ICASSP2016, Shanghai, China, pp. 874 - 877, March 2016.
5. F. Yuan, L. M. Po, L. Feng, Y. Li, X. Xu, "A Robust MEL-Bands Audio Fingerprint based on Spectral Local Maximum Energy for Content based Copy Detection," International Congress on Engineering and Information (ICEAI 2016), Osaka, Japan, May 2016.
6. Y. Li, L. M. Po, X. Xu, L. Feng, F. Yuan, C. H. Cheung, K. W. Cheung, " No-Reference Image Quality Assessment Using Shearlet Transform and Stacked Autoencoders," Proceeding of 2015 IEEE International Symposium on Circuits and Systems, ISCAS2015, Lisbon, Portugal, May 2015.
7. L. M. Po, X. Xu, L. Feng, Y. Li, K. W. Cheung, C. H. Cheung, "Frame Adaptive ROI for Photoplethysmography Signal Extraction from Fingertip Video Captured by Smartphone," Proceeding of 2015 IEEE International Symposium on Circuits and Systems, ISCAS2015, Lisbon, Portugal, May 2015.
8. L. Feng, L. M. Po, X. Xu, Y. Li, C. H. Cheung, K. W. Cheung, Y. Fang, "Dynamic ROI Based on K-Means for Remote Photoplethysmography," Proceeding of 2015 International Conference on Acoustics, Speech, and Signal Processing, ICASSP2015, April 2015.
9. L. Feng, L. M. Po, X. Xu, Y. Li, " Motion artifacts suppression for remote imaging photoplethysmography ," 9th International Conference on Digital Signal Processing 2014, August 2014.
10. Y. Li, H. Cao, Z. Xu, ''No-reference image quality assessment using shearlet transform,'' Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, October 2013.
11. Y. Li, H. Cao, Z. Xu, ''An edge detection method for strong noisy image using shearlets,'' Seventh International Symposium on Multispectral Image Processing and Pattern Recognition, November 2011.

Patents

1. 李宇明, 朱军, 丁菁汀, 李亮, "活体检测模型的训练方法、活体检测方法和系统", CN Patent, 116468113A, 2023.
2. 李宇明, 丁菁汀, 李亮, "一种活体检测方法和系统", CN Patent, 116453231A, 2023.
3. 李宇明, 丁菁汀, 李亮, "活体检测方法及系统", CN Patent, 116189317A, 2023.
4. 李宇明, 丁菁汀, 李亮, "攻击对象检测方法及装置、介质、设备及产品", CN Patent, 115482589A, 2022.
5. 李宇明, 丁菁汀, 李亮, "一种活体检测方法、装置、设备及介质", CN Patent, 114821824A, 2022.
6. 李宇明, "活体检测方法、装置、设备及系统", CN Patent, 114696988A, 2022.
7. 李宇明, 刘国清, 郑伟, 杨广, "车道线实例聚类方法、装置、电子设备和存储介质", CN Patent, 112084988A, 2020.
8. 李宇明, 刘国清, 郑伟, 杨广, "基于特征空间的车道线处理方法、装置、车载终端和介质", CN Patent, 112001378A, 2020.
9. 李宇明, 刘国清, 董颖, 郑伟, 杨广, "车辆盲区检测处理方法、装置、车载终端和存储介质", CN Patent, 111923857A, 2020.
10. 李宇明, 刘国清, 郑伟, 杨广, "图像数据筛选方法、装置、计算机设备和存储介质", CN Patent, 111274926A, 2020.
11. 李宇明, 刘国清, 郑伟, 杨广, 敖争光, "车头位置估计方法、装置、计算机设备和存储介质", CN Patent, 111160370A, 2020.
12. 李宇明, 刘国清, 郑伟, 杨广, 敖争光, "泊车位检测方法、装置、计算机设备和存储介质", CN Patent, 111160172A, 2020.
13. 李宇明, 刘国清, 郑伟, 杨广, 敖争光, "车道线检测方法、装置、计算机设备和存储介质", CN Patent, 111178245A, 2020.
14. 李宇明, 刘国清, 郑伟, 杨广, 敖争光, "自动驾驶的视觉感知方法、装置、计算机设备和存储介质", CN Patent, 111178253A, 2020.
15. L. M. Po, M. Liu, Y. F. Yuen, Y. Li, Xu, X. Xu, et al, "Patch selection for neural network based no-reference image quality assessment", US Patent, US 2019/0362484 A1, 2019.
16. 布礼文, 刘孟洋, 袁耀辉, 李宇明, 徐叙远等, "用于训练神经网络的图像块的选择方法及图像质量评价方法", CN Patent, CN110599439A, 2019.
17. 王珏, 王斌, 李宇明, 邢腾飞, 李成军, 苏奎峰, 陈仁, 向南, "交通信号灯状态识别方法、装置、车载控制终端及机动车", CN Patent, 108804983A, 2018.
18. 邢腾飞, 李宇明, 王珏, 王斌, "一种交通灯识别方法及装置", CN Patent, 108305475B, 2018.

Useful Materials

1. TAD16K backup link (http://url.cn/53k4BPv, password: mXo0Af) (a dataset contains annotations including traffic signs, traffic lights, vehicles and pedestrians)
2. Materials about Shearlet (https://www3.math.tu-berlin.de/numerik/www.shearlab.org/)
3. Awesome parking slot detection (https://github.com/lymhust/awesome-parking-slot-detection)
4. Awesome lane detection (https://github.com/amusi/awesome-lane-detection)