activity
20192021
most citedRotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

22 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 11 cited

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results

Liang Pan, Tong Wu, Zhongang Cai +26

As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem f…

cs.CV2021★ 1 cited

Deep Models with Fusion Strategies for MVP Point Cloud Registration

Lifa Zhu, Changwei Lin, Dongrui Liu +2

The main goal of point cloud registration in Multi-View Partial (MVP) Challenge 2021 is to estimate a rigid transformation to align a point cloud pair. The pairs in this competitio…

cs.CV2020★ 5 cited

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

Dario Fuoli, Zhiwu Huang, Shuhang Gu +23

This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR)…

cs.CV2019★ 3 cited

Face Beautification: Beyond Makeup Transfer

Xudong Liu, Ruizhe Wang, Chih-Fan Chen +4

Facial appearance plays an important role in our social lives. Subjective perception of women's beauty depends on various face-related (e.g., skin, shape, hair) and environmental (…

cs.CV2019★ 22 cited

Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

Chen Zhao, Jiaqi Yang, Xin Xiong +3

Point cloud analysis is a fundamental task in 3D computer vision. Most previous works have conducted experiments on synthetic datasets with well-aligned data; while real-world poin…