Associate Professor, Chongqing University of Posts and Telecommunications, China
Tang Shu is an Associate Professor at the College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China. Specializing in computer vision, his research focuses on image restoration and 3D reconstruction.
Profile
ORCID
🎓 Education:
Tang Shu received his M.E. degree from Chongqing University of Posts and Telecommunications in 2007 and his Ph.D. from Chongqing University in 2013.
💼 Experience:
Tang Shu has been an Associate Professor at Chongqing University of Posts and Telecommunications since February 24, 2014, accumulating over 10 years of professional experience.
🔬 Research Interests:
Tang Shu’s research encompasses computer vision, image restoration, and 3D reconstruction. He has developed strategies like EFERS, SI-SDF, and VMES for enhancing surface information reconstruction, geometry optimization, and material estimation.
🏆 Awards:
Tang Shu has published over 10 academic papers, presided over 10 scientific research projects, and been granted 6 invention patents. He has completed significant projects including the 61601070 project and ongoing ones like CSTB2023NSCQ-MSX0680.
Publications
Here are some of Tang Shu’s notable publications:
Deep Convolutional-Neural-Network-Based Channel Attention for Single Image Dynamic Scene Blind Deblurring – Computer Aided Geometric Design, 2020.
Multi-Regularization-Constrained Blur Kernel Estimation Method for Blind Motion Deblurring – IEEE Transactions on Circuits and Systems for Video Technology, 2020.
Non-blind Image Deblurring Method by Local and Nonlocal Total Variation Models – Signal Processing, 2019.
Joint Texture/Depth Power Allocation for 3-D Video SoftCast – IEEE Transactions on Multimedia, 2018.
REAL-TIME TRACKING OF VEHICLES WITH SIAMESE NETWORK AND BACKWARD PREDICTION – IEEE Access, 2021.