most citedMeta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud

9 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Robust Point Cloud Segmentation with Noisy Annotations

Shuquan Ye, Dongdong Chen, Songfang Han +1

Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current learning methods based on the cle…

cs.CV2022★ 1 cited

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

Shuquan Ye, Yujia Xie, Dongdong Chen +4

This paper focuses on analyzing and improving the commonsense ability of recent popular vision-language (VL) models. Despite the great success, we observe that existing VL-models s…

cs.CV2021

3D Question Answering

Shuquan Ye, Dongdong Chen, Songfang Han +1

Visual Question Answering (VQA) has witnessed tremendous progress in recent years. However, most efforts only focus on the 2D image question answering tasks. In this paper, we pres…

cs.CV2021

Learning with Noisy Labels for Robust Point Cloud Segmentation

Shuquan Ye, Dongdong Chen, Songfang Han +1

Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on th…

cs.CV2021

Exemplar-Based 3D Portrait Stylization

Fangzhou Han, Shuquan Ye, Mingming He +2

Exemplar-based portrait stylization is widely attractive and highly desired. Despite recent successes, it remains challenging, especially when considering both texture and geometri…

cs.GR2021★ 9 cited

Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud

Shuquan Ye, Dongdong Chen, Songfang Han +2

Point cloud upsampling is vital for the quality of the mesh in three-dimensional reconstruction. Recent research on point cloud upsampling has achieved great success due to the dev…