203 citations
- Peking UniversityCN5 papers
- Hebrew University of JerusalemIL2 papers
- Tel Aviv UniversityIL2 papers
- Beijing Institute of TechnologyCN1 paper
- China Electronics Standardization InstituteCN1 paper
- Dartmouth CollegeUS1 paper
- Dartmouth HospitalGB1 paper
- ETH ZurichCH1 paper
- Peking University International HospitalCN1 paper
- Shandong UniversityCN1 paper
- Tsinghua UniversityCN1 paper
6 papers
Unsupervised Co-part Segmentation through Assembly
Qingzhe Gao, Bin Wang, Libin Liu +1
Co-part segmentation is an important problem in computer vision for its rich applications. We propose an unsupervised learning approach for co-part segmentation from images. For th…
Solid-Fluid Interaction with Surface-Tension-Dominant Contact
Liangwang Ruan, Jinyuan Liu, Bo Zhu +3
We propose a novel three-way coupling method to model the contact interaction between solid and fluid driven by strong surface tension. At the heart of our physical model is a thin…
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training
Dingquan Li, Tingting Jiang, Ming Jiang
Video quality assessment (VQA) is an important problem in computer vision. The videos in computer vision applications are usually captured in the wild. We focus on automatically as…
Unpaired Motion Style Transfer from Video to Animation
Kfir Aberman, Yijia Weng, Dani Lischinski +2
Transferring the motion style from one animation clip to another, while preserving the motion content of the latter, has been a long-standing problem in character animation. Most e…
Skeleton-Aware Networks for Deep Motion Retargeting
Kfir Aberman, Peizhuo Li, Dani Lischinski +3
We introduce a novel deep learning framework for data-driven motion retargeting between skeletons, which may have different structure, yet corresponding to homeomorphic graphs. Imp…
Symmetrical Reality: Toward a Unified Framework for Physical and Virtual Reality
Zhenliang Zhang, Cong Wang, Dongdong Weng +2
In this paper, we review the background of physical reality, virtual reality, and some traditional mixed forms of them. Based on the current knowledge, we propose a new unified con…