activity
20232026
most citedRotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration

23 citations · 26 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.CG2026

Multi-Stage NeRF for Efficient 3D Coronary Artery Reconstruction from Two Narrow-Angle Angiographic Projections

Deyu Meng, Mojtaba Lashgari, Yiying Wang +1

X-ray coronary angiography is the clinical gold standard for coronary artery disease during real-time cardiac interventions, but provides only 2D projections of inherently 3D vesse…

cs.CV2026

Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform

Zhongchen Zhao, Jixin Wang, Qi Xie +4

Equivariant networks embed geometric symmetries as structural priors through weight sharing, achieving remarkable parameter efficiency across vision tasks. However, this parameter…

cs.CV2026

Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors

Feiyu Tan, Heran Yang, Qihong Duan +3

Image-to-image translation (I2I) is a fundamental task in computer vision, focused on mapping an input image from a source domain to a corresponding image in a target domain while…

cs.CV2026

Rotation Equivariant Mamba for Vision Tasks

Zhongchen Zhao, Qi Xie, Keyu Huang +3

Rotation equivariance constitutes one of the most general and crucial structural priors for visual data, yet it remains notably absent from current Mamba-based vision architectures…

cs.CV2026

Vanilla Group Equivariant Vision Transformer: Simple and Effective

Jiahong Fu, Qi Xie, Deyu Meng +1

Incorporating symmetry priors as inductive biases to design equivariant Vision Transformers (ViTs) has emerged as a promising avenue for enhancing their performance. However, exist…