activity
20182022
most citedExploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis

5 citations · 12 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2022

SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Tengfei Xue, Fan Zhang, Chaoyi Zhang +6

White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts to enable quantification and visualization. Most parcellation methods…

cs.CV20222 cited

Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement

Dongnan Liu, Chaoyi Zhang, Yang Song +4

Recent advances in unsupervised domain adaptation (UDA) techniques have witnessed great success in cross-domain computer vision tasks, enhancing the generalization ability of data-…

eess.IV2021

Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction

Heng Wang, Chaoyi Zhang, Jianhui Yu +4

Automatic 3D neuron reconstruction is critical for analysing the morphology and functionality of neurons in brain circuit activities. However, the performance of existing tracing a…

cs.CV2021

Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

Yuqian Chen, Chaoyi Zhang, Yang Song +5

White matter fiber clustering (WMFC) enables parcellation of white matter tractography for applications such as disease classification and anatomical tract segmentation. However, t…

eess.IV20211 cited

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Xinyi Wang, Tiange Xiang, Chaoyi Zhang +4

The recurrent mechanism has recently been introduced into U-Net in various medical image segmentation tasks. Existing studies have focused on promoting network recursion via reusin…

cs.CV2021

Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

Tiange Xiang, Chaoyi Zhang, Yang Song +2

Discrete point cloud objects lack sufficient shape descriptors of 3D geometries. In this paper, we present a novel method for aggregating hypothetical curves in point clouds. Seque…