activity
20192022
most citedDefending Model Inversion and Membership Inference Attacks via Prediction Purification

50 citations · 105 across the 11 of their papers we have counts for

collaborators

11 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…

eess.IV202113 cited

Efficient Context-Aware Network for Abdominal Multi-organ Segmentation

Fan Zhang, Yu Wang, Hua Yang

The contextual information, presented in abdominal CT scan, is relative consistent. In order to make full use of the overall 3D context, we develop a whole-volume-based coarse-to-f…

cs.CV20211 cited

Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision

Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera +6

Automatically detecting graspable regions from a single depth image is a key ingredient in cloth manipulation. The large variability of cloth deformations has motivated most of the…

eess.IV20213 cited

An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization

Fan Zhang, Bo Pan, Pengfei Shao +4

Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive impairment (MCI) is essential for the delayed disease progression and the improved…

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…

cs.CV202110 cited

Deception Detection in Videos using the Facial Action Coding System

Hammad Ud Din Ahmed, Usama Ijaz Bajwa, Fan Zhang +1

Facts are important in decision making in every situation, which is why it is important to catch deceptive information before they are accepted as facts. Deception detection in vid…