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Jiang Liu 0014
Person information
- affiliation: Johns Hopkins University, JHU, Department of Electrical and Computer Engineering, Baltimore, MD, USA
Other persons with the same name
- Jiang Liu — disambiguation page
- Jiang Liu 0001
(aka: Jimmy Jiang Liu) — Southern University of Science and Technology, Department of Computer Science, Shenzhen, China (and 3 more)
- Jiang Liu 0002 — Nanyang Technological University, Singapore
- Jiang Liu 0003 — University of Auckland, NZ
- Jiang Liu 0004 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Jiang Liu 0005
— Waseda University, Tokyo, Japan (and 1 more)
- Jiang Liu 0006 — Lishui University, China
- Jiang Liu 0007
— Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, China (and 2 more)
- Jiang Liu 0009 — Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, China
- Jiang Liu 0010
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Jiang Liu 0011
— Meta, Menlo Park, CA, USA (and 1 more)
- Jiang Liu 0012
— Information Science Technology Institute, Zhengzhou, China
- Jiang Liu 0013 — Chinese Academy of Sciences, Beijing Institute of Genomics, China
- Jiang Liu 0015
— Xi'an University of Technology, Department of Electrical Engineering, China
- Jiang Liu 0016
— Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, China
- Jiang Liu 0017
— University of Paris-Saclay, France
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2020 – today
- 2023
- [j5]Chun Pong Lau
, Jiang Liu
, Hossein Souri
, Wei-An Lin
, Soheil Feizi
, Rama Chellappa
:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13054-13067 (2023) - [j4]Jiang Liu
, Srivathsa Pasumarthi
, Ben A. Duffy
, Enhao Gong
, Keshav Datta
, Greg Zaharchuk
:
One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. IEEE Trans. Medical Imaging 42(9): 2577-2591 (2023) - [i9]Chun Pong Lau, Jiang Liu, Rama Chellappa:
Attribute-Guided Encryption with Facial Texture Masking. CoRR abs/2305.13548 (2023) - [i8]Jiang Liu, Chun Pong Lau, Rama Chellappa:
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection. CoRR abs/2305.13625 (2023) - [i7]Aniket Roy, Maitreya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa:
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics. CoRR abs/2311.09753 (2023) - [i6]Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan L. Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa:
Instruct2Attack: Language-Guided Semantic Adversarial Attacks. CoRR abs/2311.15551 (2023) - [i5]Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng:
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation. CoRR abs/2311.16497 (2023) - 2022
- [j3]Jiang Liu
, Chun Pong Lau
, Hossein Souri, Soheil Feizi
, Rama Chellappa:
Mutual Adversarial Training: Learning Together is Better Than Going Alone. IEEE Trans. Inf. Forensics Secur. 17: 2364-2377 (2022) - [c3]Jiang Liu, Alexander Levine, Chun Pong Lau
, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CVPR 2022: 14953-14962 - [i4]Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Greg Zaharchuk, Keshav Datta:
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation. CoRR abs/2204.13738 (2022) - 2021
- [i3]Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CoRR abs/2112.04532 (2021) - [i2]Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning together is better than going alone. CoRR abs/2112.05005 (2021) - [i1]Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. CoRR abs/2112.06323 (2021) - 2020
- [c2]Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly
, Greg Zaharchuk:
Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. Medical Imaging: Image Processing 2020: 113130M
2010 – 2019
- 2018
- [j2]Cheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu
, Jie Zhou:
Left atrial appendage segmentation and quantitative assisted diagnosis of atrial fibrillation based on fusion of temporal-spatial information. Comput. Biol. Medicine 96: 52-68 (2018) - [j1]Cheng Jin
, Jianjiang Feng
, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu
, Jie Zhou:
Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields. IEEE J. Biomed. Health Informatics 22(6): 1906-1916 (2018) - [c1]Jiang Liu, Cheng Jin, Jianjiang Feng, Yubo Du, Jiwen Lu
, Jie Zhou:
A Vessel-Focused 3D Convolutional Network for Automatic Segmentation and Classification of Coronary Artery Plaques in Cardiac CTA. STACOM@MICCAI 2018: 131-141
Coauthor Index
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last updated on 2024-08-21 20:27 CEST by the dblp team
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