Dat’s picks of the day (Thursday): Aloha from ICCV’25 in Hawai’i !!! I am Dat Nguyen, originally from Vietnam and currently a final-year PhD candidate at the University of Luxembourg, supervised by Djamila Aouada. Before starting my PhD, my early career focused on building AI systems for Autonomous Driving and Recommendation Systems. My doctoral research focuses on Deepfake Detection, an increasingly important field in the era of Generative AI. Specifically, I develop deepfake detectors that are robust and generalizable to unseen manipulation methods while also offering interpretability. Beyond performance, I explore how to design detectors that are lightweight yet strong, and how to evaluate them more precisely under realistic conditions. This is a crucial step toward making deepfake detection truly practical and trustworthy in the real world. 5A-1 LaRender: Training-Free Occlusion Control in Image Generation via Latent … ➔ ➔ ➔ Read full review of this paper on page 12 5B-4 Counting Stacked Objects For today, Thursday 23 2 Dat’s Picks DAILY ICCV Thursday At ICCV, I presented yesterday FakeSTormer, a generalizable deepfake video detection model designed to identify manipulated faces in videos! Orals: Unlike most existing approaches, FakeSTormer is trained exclusively on real videos and high-quality pseudo-fakes generated by a proposed video-level data synthesis. This makes it robust and independent of any specific deepfake generation technique that relies on face blending. The model employs a multi-task learning framework that explicitly guides it to attend artifact-prone regions at both spatial and temporal domains.
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