Jiang Liu

According to our database, Jiang Liu authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses.

Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation.

Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Keshav Datta, Greg Zaharchuk

IEEE Trans. Medical Imaging, September, 2023

GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation.

Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng

CoRR, 2023

Instruct2Attack: Language-Guided Semantic Adversarial Attacks.

Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan L. Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa

CoRR, 2023

DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics.

Aniket Roy, Maitreya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa

CoRR, 2023

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection.

Jiang Liu, Chun Pong Lau, Rama Chellappa

CoRR, 2023

Attribute-Guided Encryption with Facial Texture Masking.

Chun Pong Lau, Jiang Liu, Rama Chellappa

CoRR, 2023

2022

Mutual Adversarial Training: Learning Together is Better Than Going Alone.

Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa

IEEE Trans. Inf. Forensics Secur., 2022

Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection.

Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI.

Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2018

Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields.

Cheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu, Jie Zhou

IEEE J. Biomed. Health Informatics, 2018

Left atrial appendage segmentation and quantitative assisted diagnosis of atrial fibrillation based on fusion of temporal-spatial information.

Cheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu, Jie Zhou

Comput. Biol. Medicine, 2018

A Vessel-Focused 3D Convolutional Network for Automatic Segmentation and Classification of Coronary Artery Plaques in Cardiac CTA.

Jiang Liu, Cheng Jin, Jianjiang Feng, Yubo Du, Jiwen Lu, Jie Zhou

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018