Prof. LI, You Fu

Visiting Professor

  • Ph.D., University of Oxford, 1993
  • M.S., Harbin Institute of Technology, 1986
  • B.S., Harbin Institute of Technology, 1982
Office
YEUNG-Y6610
Phone
(+852) 3442-8410
Email
meyfli@cityu.edu.hk
Web
http://personal.cityu.edu.hk/~meyfli
Research Interests
  • Robot Vision
  • Visual Tracking
  • Robot Sensing
Biography

Prof. Li received the B.S. and M.S. degrees in electrical engineering from Harbin Institute of Technology China. He obtained the PhD degree from the Robotics Research Group, Dept of Engineering Science of  the University of Oxford in 1993. From 1993 to 1995 he was a postdoctoral research staff in the Dept of Computer Science, University of Wales, Aberystwyth, UK. He joined City University of Hong Kong in 1995 and is currently a professor in the Department of Mechanical Engineering. His research interests include robot sensing, robot vision,  3D vision, visual tracking, sensor guided manipulation, mechatronics and automation. In these areas, he has published over 180 papers in SCI listed international journals. Dr Li has received many awards in robot sensing and vision including IEEE Sensors Journal Best Paper Award by IEEE Sensors Council, Second Prize of Natural Science Research Award by the Ministry of Education, 1st Prize of Natural Science Research Award of Hubei Province, 1st Prize of Natural Science Research Award of Zhejiang Province, China. He was on Top 2% of the world’s most highly cited scientists by Stanford University, 2020. He has served as an Associate Editor of IEEE Transactions on Automation Science and Engineering (T-ASE), Associate Editor of IEEE Robotics and Automation Magazine (RAM), Editor of the IEEE Robotics Automation Society's Conference Editorial Board (CEB) and Guest Editor of IEEE Robotics and Automation Magazine (RAM). He is a fellow of IEEE..

Education
BS Dept of Electrical Engineering Harbin Institute of Technology, China
MS Dept of Electrical Engineering Harbin Institute of Technology, China
PhD Robotics Research Group, Dept of Engineering Science Oxford University, UK
Publications
  • H. Liu, T. Liu, Z. Zhang, S. Liu, , B. Yang, Y. F. Li, Orientation Cues-aware Facial Relationship Representation for Head Pose Estimation via Transformer, IEEE Transactions on Image Processing, Vol. 32, No. , pp. 6289-6302, 2023. DOI: 10.1109/TIP.2023.3331309.
  • LIU H., LIU T., CHEN Y., ZHANG Z., LI Y. F., EHPE: Skeleton Cues-based Gaussian Coordinate Encoding for Efficient Human Pose Estimation, IEEE Transactions on Multimedia, 08 August 2022, doi: https://doi.org/10.1109/TMM.2022.3197364.
  • Y. Deng, H. Chen, H. Y. Chen, Y. F. Li, Learning from Images: A Distillation Learning Framework for Event Cameras, IEEE Transactions on Image Processing, Vol. 30, No. , pp. 4919-4931, May 2021. DOI: 10.1109/TIP.2021.3077136.
  •  H. Chen, Y. F. Li, Y. Deng, G. Lin, CNN-based RGB-D Salient Object Detection: Learn, Select, and Fuse, International Journal of Computer Vision, Vol. 129, No.7, pp. 2076-2096, May 2021. https://doi.org/10.1007/s11263-021-01452-0.
  • H. Chen, Y. F. Li, and D. Su, Discriminative Cross-modal Transfer Learning and Densely Cross-level Feedback Fusion for RGB-D Salient Object Detection, IEEE Transactions on Cybernetics, Vol. 50, No. 11, pp. 4808-4820, Nov. 2020.
  • D. Su, Y. F. Li, H. Chen, Cross-validated Locally Polynomial Modeling for 2D/3D Gaze Tracking with Head-worn Devices, IEEE Transactions on Industrial Informatics, Vol. 16, No. 11, pp. 510-521, Jan. 2020.  
  • H. Chen and Y. F. Li, Three-stream Attention-aware Network for RGB-D Salient Object Detection, IEEE Transactions on Image Processing. Vol. 28, Issue 6, pp. 2825–2835, June 2019.
  • D. Su, Y. F. Li, H. Chen, Towards Precise Gaze Estimation for Mobile Head-mounted Gaze Tracking Systems, IEEE Transactions on Industrial Informatics, Vol. 15, No. 5, pp. 2660-2672, May 2019.
  • H. Chen and Y. F. Li, Multi-modal Fusion Network with Multi-scale Multi-path and Cross-modal Interactions for RGB-D Salient Object Detection, Pattern Recognition, Vol. 86, Issue , pp. 376–385, Aug. 2018.
  • Y. Guo, Y. F. Li, and Z. Shao, RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition, IEEE Transactions on Cybernetics, Vol. 48, No. 5, pp. 1513-1525, May 2018.
  • Y. Guo, Y. F. Li and Z. Shao, DSRF: A Flexible Trajectory Descriptor for Articulated Human Action Recognition, Pattern Recognition, Vol. 76, Issue , pp. 137–148, April 2018.
  • S. Liu, Y. F. Li, D. Xu, et al, An Efficient Insertion Control Method for Precision Assembly of Cylindrical Components, IEEE Transactions on Industrial Electronics, Vol. 64, No. 12, pp. 9355-9365, Dec. 2017.
  • Y. Tang, Y. F. Li, et al, Parameterized Distortion-invariant Feature for Robust Tracking in Omnidirectional Vision, IEEE Transactions on Automation Science and Engineering, Vol. 13, No. 2, pp. 743-756, April 2016.
  • Z. Shao and Y. F. Li, Integral Invariants for Space Motion Trajectory Matching and Recognition, Pattern Recognition, Vol. 48, Issue 8, pp. 2418–2432, Aug. 2015.
  • T. Bai, Y. F. Li, X. Zhou, Learning Local Appearances with Sparse Representation for Robust and Fast Visual Tracking, IEEE Transactions on Cybernetics, Vol. 45, No. 4, pp. 663-675,  April 2015.
  • T. Bai and Y. F. Li, Robust Visual Tracking Using Flexible Structured Sparse Representation, IEEE Transactions on Industrial Informatics, Vol. 10, No. 1, pp. 538-547, Feb. 2014.
  • X. Zhou, Y. F. Li, B. He, Game-Theoretical Occlusion Handling for Multi-Target Visual Tracking, Pattern Recognition, Vol. 46, Iss. 10, pp. 2670–2684, Oct. 2013.  
  • W. Li and Y. F. Li, Overall well focused catadioptric image acquisition with multi-focal images: a model based method, IEEE Transactions on Image Processing, Vol. 21, No. 8, pp. 3697-3706, Aug. 2012.
  • T. Bai and Y. F. Li, Robust Visual Tracking with Structured Sparse representation Appearance Model, Pattern Recognition, Vol. 45, Iss. 6, pp. 2390–2404, June 2012.
  • S. Chen, Y. F. Li, N. Kwok, Recent Developments of Active Vision Perception in Robotic Systems: A Survey, International Journal of Robotics Research, Vol. 30, No. 11, pp. 1343 – 1377, Sep. 2011.
  • W. Li and Y. F. Li, Single-camera panoramic stereo imaging system with a fisheye lens and a convex mirror, Optics Express, Vol. 19, Iss. 7, pp. 5855–5867, March 2011.
  • Z. Li and Y. F. Li, Gamma distorted fringe image modeling and accurate gamma correction for fast phase measuring profilometry, Optics Letters, Vol. 36, No. 2, pp. 154-156, Jan. 2011.
  • Z. Liang and Y. F. Li, A regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction, Pattern Recognition, Vol. 43, Issue 4,  pp. 1269-1281, Apr. 2010.
  • S. Wu and Y. F. Li, Motion Trajectory Reproduction from Generalized Signature Description, Pattern Recognition, Vol. 43, No. 1, pp. 204-221, Jan. 2010.
  • H. Chen and Y. F. Li, Particles coupled with Data Fusion for 3D Tracking, IEEE Transactions on Industrial Electronics, Vol. 56, No. 8, pp. 2992-2997, Aug. 2009.
  • H. Chen and Y. F. Li, Dynamic View Planning by Effective Particles for 3D Tracking, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 39, No. 1, pp. 242-253, Feb. 2009.
  • S. Wu and Y. F. Li, Flexible Signature Descriptions for Adaptive Motion Trajectory Representation, Perception and Recognition, Pattern Recognition, Vol. 42, No. 1, pp. 194-214, Jan. 2009.
  • S. Wu and Y. F. Li, On Signature Invariants for Effective Motion Trajectory Recognition, International Journal of Robotics Research, Vol. 27, No. 8, pp. 895–917, Aug. 2008.
  • Y. Wu, Y. F. Li and Z. Hu, Detecting and Handling Unreliable Points for Camera Parameter Estimation, International Journal of Computer Vision, Vol. 79, No. 2, pp. 209-223, Aug. 2008.
  • S. Y. Chen, Y. F. Li, et al, Vision Processing for Realtime 3D Data Acquisition Based on Coded Structured Light, IEEE Transactions on Image Processing, Vol. 17, No. 2, pp. 167-176, Feb. 2008.
  • G. L. Wang, Y. F. Li, Support vector networks in adaptive friction compensation, IEEE Transactions on Neural Networks, Vol. 18, No. 4, pp. 1209-1219, July 2007.
  • B. Zhang, Y. F. Li and Y. Wu, Self-Recalibration of a Structured Light System via Plane-Based Homography, Pattern Recognition, Vol. 40, Issue 4, pp. 1368-1377, April 2007.
  • S. Y. Chen, Y. F. Li, et al, Real-Time Three-Dimensional Surface Measurement by Color Encoded Light Projection, Applied Physics Letters, Vol. 89, Issue 11, pp. 111108-10, Sept. 2006.
  • S. Y. Chen and Y. F. Li, Vision sensor planning for 3D model acquisition, IEEE Transactions on System Man and Cybernetics, Part B, Vol. 35, No. 5, pp. 894-904, Oct. 2005.
  • Y. F. Li and Z. Liu, Information Entropy Based Viewpoint Planning for 3D Object Reconstruction, IEEE Transactions on Robotics, Vol. 21, Issue 3, pp. 324-337, June 2005.
  • G. L. Wang and Y. F. Li, Integrated Sensing and Filter Design for a Single-link Flexible Manipulator, IEEE Transactions on Robotics and Automation, Vol. 20, No. 3, pp. 559-564, June 2004.
  • Y. F. Li and R. S. Lu, Uncalibrated Euclidean 3D Reconstruction Using an Active Vision System, IEEE Transactions on Robotics and Automation,  Vol. 20, No. 1, pp. 15-25, Feb. 2004.
  • S. Y. Chen and Y. F. Li, Automatic Sensor Placement for Model-Based Robot Vision, IEEE Transactions on System Man and Cybernetics, Part B,  Vol. 34, No. 1, pp. 393-408, Feb. 2004.
  • N. Li and Y. F. Li, Feature Encoding for Unsupervised Segmentation of Color Images, IEEE Transactions on System Man and Cybernetics --Part B, Vol. 33, No. 3, pp. 438-447, June 2003.
  • Y. F. Li and S. Y. Chen, Automatic Recalibration of an Active Structured Light Vision System, IEEE Transactions on Robotics and Automation, Vol. 19, No. 2, pp. 259-268, April 2003.
  • C. Xiong, Y. F. Li, et al, On the Dynamic Stability of Grasping, International Journal of Robotics Research, Vol. 18, No. 9, pp. 951-958, Sept. 1999.
  • Y. F. Li and M. H. Lee, Applying Vision Guidance in Robotic Food Handling, IEEE Robotics and Automation Magazine, Vol. 3, No. 1, pp. 4-12, March 1996.