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Zhigang Tu 【Bio CV】 Zhigang Tu received the Master Degree in image processing at Wuhan University, China, 2008 In 2015, he received the Ph D degree in Computer Science from Utrecht University, Netherlands From 2015 to 2016, he was a postdoctoral researcher at Arizona State University, US Then from 2016 to 2018, he was a research fellow at Nanyang Technological University, Singapore He is
开源数据 - tuzhigang. cn Open Source Page of HAVPR Group @ Wuhan University Paper with Code We open source code of papers here All paper list can be browsed in publication page Skinned Motion Retargeting with Residual Perception of Motion Semantics Geometry, Neural motion retargeting model that can preserve the source motion semantics and avoid interpenetration in the target motion, CVPR 2023, Code MixSTE: Seq2seq
Visual Computer Call For Papers Title: Multi-Modality Feature Learning for Visual Understanding (MMFL) Extract robust multi-modality feature is an important task for visual understanding There has been significant progress in recent years thanks to the rapid progress in machine learning tools and computational resources as well as the availability of large amount of data Not only is its application performance greatly