His research interest primarily lies in computer vision and human-centered computing.
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
Zhuoqian Yang*, Wentao Zhu*, Wayne Wu*, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy (* indicates equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Paper / Video / Project Page
We present a lightweight video motion retargeting approach that is capable of disentangling the three orthogonal factors of variation, including motion, structure, and view-angle. The proposed method can be trained on 2D in-the-wild data in an unsupervised manner and shows superior performance over state-of-the-art methods.
|Sino Group Scholarship, Peking University||2018|
|WWDC Scholarship, Apple Inc.||2018|
|Meritorious Winner, COMAP’s Interdisciplinary Contest in Modeling||2018|
|Gold Medal, International Genetically Engineered Machine Competition||2017|