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Peng-Shuai Wang

MSRA

11 papers hereh-index 141.5k citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author6

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.AI1
affiliations
  • MSRA
Homepage
same name
  • Peng-Shuai Wang — 16 papers, h 3
  • Peng-Shuai Wang — 3 papers, h 4
  • Peng-Shuai Wang — 2 papers, h 3
  • Peng-Shuai Wang — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedO-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

859 citations · 1.2k across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.AI2023

6G Network Business Support System

Ye Ouyang, Yaqin Zhang, Peng Wang +7

6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional percept…

cs.CV2023★ 120 cited

Locally Attentional SDF Diffusion for Controllable 3D Shape Generation

Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang +3

Although the recent rapid evolution of 3D generative neural networks greatly improves 3D shape generation, it is still not convenient for ordinary users to create 3D shapes and con…

cs.CV2023★ 5 cited

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining

Siming Yan, Yuqi Yang, Yuxiao Guo +5

Masked autoencoders (MAE) have recently been introduced to 3D self-supervised pretraining for point clouds due to their great success in NLP and computer vision. Unlike MAEs used i…

cs.CV2023★ 34 cited

Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding

Yu-Qi Yang, Yu-Xiao Guo, Jian-Yu Xiong +5

The use of pretrained backbones with fine-tuning has been successful for 2D vision and natural language processing tasks, showing advantages over task-specific networks. In this wo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.