activity
20202026
most citedAffinity Space Adaptation for Semantic Segmentation Across Domains

57 citations · 59 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Point Diffusion Mamba: Unified Diffusion-State-Space Modeling for Single-View 3D Reconstruction under Data Scarcity

Wei Zhou, Xinzhe Shi, Xingxing Hao +4

While single-view 3D reconstruction has seen significant progress, extrapolating complex 3D structures from inherently ambiguous 2D observations remains fundamentally ill-posed, pa…

cs.CV2023

VTPNet for 3D deep learning on point cloud

Wei Zhou, Weiwei Jin, Qian Wang +4

Recently, Transformer-based methods for point cloud learning have achieved good results on various point cloud learning benchmarks. However, since the attention mechanism needs to…

cs.CV2023★ 2 cited

GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation

Wei Zhou, Qian Wang, Weiwei Jin +2

Recently, graph-based and Transformer-based deep learning networks have demonstrated excellent performances on various point cloud tasks. Most of the existing graph methods are bas…

cs.CV2021

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)

Yao Hu, Guohua Geng, Kang Li +3

The repairing work of terracotta warriors in Emperor Qinshihuang Mausoleum Site Museum is handcrafted by experts, and the increasing amounts of unearthed pieces of terracotta warri…

cs.CV2020★ 57 cited

Affinity Space Adaptation for Semantic Segmentation Across Domains

Wei Zhou, Yukang Wang, Jiajia Chu +3

Semantic segmentation with dense pixel-wise annotation has achieved excellent performance thanks to deep learning. However, the generalization of semantic segmentation in the wild…