activity
20192023
most citedTopology-Preserving Deep Image Segmentation

85 citations · 160 across the 19 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022

Latent Partition Implicit with Surface Codes for 3D Representation

Chao Chen, Yu-Shen Liu, Zhizhong Han

Deep implicit functions have shown remarkable shape modeling ability in various 3D computer vision tasks. One drawback is that it is hard for them to represent a 3D shape as multip…

cs.CV2022★ 1 cited

Learning Topological Interactions for Multi-Class Medical Image Segmentation

Saumya Gupta, Xiaoling Hu, James Kaan +10

Deep learning methods have achieved impressive performance for multi-class medical image segmentation. However, they are limited in their ability to encode topological interactions…

eess.IV2022★ 4 cited

Learning Probabilistic Topological Representations Using Discrete Morse Theory

Xiaoling Hu, Dimitris Samaras, Chao Chen

Accurate delineation of fine-scale structures is a very important yet challenging problem. Existing methods use topological information as an additional training loss, but are ulti…

eess.IV2022

A Topology-Attention ConvLSTM Network and Its Application to EM Images

Jiaqi Yang, Xiaoling Hu, Chao Chen +1

Structural accuracy of segmentation is important for finescale structures in biomedical images. We propose a novel TopologyAttention ConvLSTM Network (TACNet) for 3D image segmenta…

cs.CV2022

Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation

Chao Chen, Yibing Zhan, Baosheng Yu +3

Scene Graph Generation (SGG) aims to build a structured representation of a scene using objects and pairwise relationships, which benefits downstream tasks. However, current SGG me…