203 citations
- Peking UniversityCN6 papers
- Tsinghua UniversityCN3 papers
- Beijing Institute of TechnologyCN2 papers
- Hebrew University of JerusalemIL2 papers
- Tel Aviv UniversityIL2 papers
- China Electronics Standardization InstituteCN1 paper
- Dartmouth CollegeUS1 paper
- Dartmouth HospitalGB1 paper
- ETH ZurichCH1 paper
- Hong Kong University of Science and TechnologyHK1 paper
- Peking University International HospitalCN1 paper
- Shandong UniversityCN1 paper
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3 papers · 1 filter
cs.CV2021★ 3 cited
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…
cs.CV2020★ 141 cited
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…
cs.CV2020★ 203 cited
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…