5 citations · 14 across the 22 of their papers we have counts for
10 papers · 1 filter
Evidence-Based Actor-Verifier Reasoning for Echocardiographic Agents
Peng Huang, Yiming Wang, Yineng Chen +9
Echocardiography plays an important role in the screening and diagnosis of cardiovascular diseases. However, automated intelligent analysis of echocardiographic data remains challe…
Robust Multi-Source Covid-19 Detection in CT Images
Asmita Yuki Pritha, Jason Xu, Daniel Ding +4
Deep learning models for COVID-19 detection from chest CT scans generally perform well when the training and test data originate from the same institution, but they often struggle…
Improving Generalization of Medical Image Registration Foundation Model
Jing Hu, Kaiwei Yu, Hongjiang Xian +2
Deformable registration is a fundamental task in medical image processing, aiming to achieve precise alignment by establishing nonlinear correspondences between images. Traditional…
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
Jing Hu, Chengming Feng, Shu Hu +4
Arbitrary style transfer aims to apply the style of any given artistic image to another content image. Still, existing deep learning-based methods often require significant computa…
Robust Fairness Vision-Language Learning for Medical Image Analysis
Sparsh Bansal, Mingyang Wu, Xin Wang +1
The advent of Vision-Language Models (VLMs) in medical image analysis has the potential to help process multimodal inputs and increase performance over traditional inference method…
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…
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…
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…
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…
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…