4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.GR2023★ 1 cited
Patch-Grid: An Efficient and Feature-Preserving Neural Implicit Surface Representation
Guying Lin, Lei Yang, Congyi Zhang +6
Neural implicit representations are widely used for 3D shape modeling due to their smoothness and compactness, but traditional MLP-based methods struggle with sharp features, such…
cs.CV2021★ 4 cited
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
Runnan Chen, Yuexin Ma, Lingjie Liu +4
Well-annotated medical images are costly and sometimes even impossible to acquire, hindering landmark detection accuracy to some extent. Semi-supervised learning alleviates the rel…
cs.CV2018
Attending Category Disentangled Global Context for Image Classification
Keke Tang, Guodong Wei, Runnan Chen +3
In this paper, we propose a general framework for image classification using the attention mechanism and global context, which could incorporate with various network architectures…