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20202025
most citedDomain Generalization for Medical Imaging Classification with Linear-Dependency Regularization

82 citations · 186 across the 18 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.AI2023★ 37 cited

Robust Domain Misinformation Detection via Multi-modal Feature Alignment

Hui Liu, Wenya Wang, Hao Sun +2

Social media misinformation harms individuals and societies and is potentialized by fast-growing multi-modal content (i.e., texts and images), which accounts for higher "credibilit…

cs.CR2023★ 2 cited

Pixel-Inconsistency Modeling for Image Manipulation Localization

Chenqi Kong, Anwei Luo, Shiqi Wang +3

Digital image forensics plays a crucial role in image authentication and manipulation localization. Despite the progress powered by deep neural networks, existing forgery localizat…

cs.CY2023★ 33 cited

The Age of Synthetic Realities: Challenges and Opportunities

João Phillipe Cardenuto, Jing Yang, Rafael Padilha +7

Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of…

cs.LG2023★ 4 cited

Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

Yibing Liu, Chris Xing Tian, Haoliang Li +2

The out-of-distribution (OOD) problem generally arises when neural networks encounter data that significantly deviates from the training data distribution, i.e., in-distribution (I…

cs.CV2023

Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation

Chenqi Kong, Haoliang Li, Shiqi Wang

Nowadays, forgery faces pose pressing security concerns over fake news, fraud, impersonation, etc. Despite the demonstrated success in intra-domain face forgery detection, existing…

cs.MM2023

M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System

Chenqi Kong, Kexin Zheng, Yibing Liu +3

Face presentation attacks (FPA), also known as face spoofing, have brought increasing concerns to the public through various malicious applications, such as financial fraud and pri…