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cs.CV2025

Robust AI-Generated Face Detection with Imbalanced Data

Yamini Sri Krubha, Aryana Hou, Braden Vester +4

Deepfakes, created using advanced AI techniques such as Variational Autoencoder and Generative Adversarial Networks, have evolved from research and entertainment applications into…

cs.CV2025

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

Li Lin, Santosh, Mingyang Wu +2

AI-generated faces have enriched human life, such as entertainment, education, and art. However, they also pose misuse risks. Therefore, detecting AI-generated faces becomes crucia…

cs.CV2024

Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images

Santosh, Li Lin, Irene Amerini +2

Diffusion models (DMs) have revolutionized image generation, producing high-quality images with applications spanning various fields. However, their ability to create hyper-realist…

cs.CV2024

Robust Light-Weight Facial Affective Behavior Recognition with CLIP

Li Lin, Sarah Papabathini, Xin Wang +1

Human affective behavior analysis aims to delve into human expressions and behaviors to deepen our understanding of human emotions. Basic expression categories (EXPR) and Action Un…

cs.CV2024

Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks

Jiong Wu, Shuang Zhou, Li Lin +2

Diffeomorphic image registration is a fundamental step in medical image analysis, owing to its capability to ensure the invertibility of transformations and preservation of topolog…

cs.CV2024

Preserving Fairness Generalization in Deepfake Detection

Li Lin, Xinan He, Yan Ju +3

Although effective deepfake detection models have been developed in recent years, recent studies have revealed that these models can result in unfair performance disparities among…