[1524] Rotation-Constrained Cross-View Feature Fusion for Multi-View AppearanceBased Gaze Estimation [1727] UNSPAT: Uncertainty-Guided SpatioTemporal Transformer for 3D Human Pose and Shape Estimation on Videos 134 3D-Aware Talking-Head Video Motion Transfer 143 Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation VIRTUAL Towards Realistic Generative 3D Face Models Umur’s picks of the day: Umur Aybars Çiftçi is a Research Assistant Professor at the State University of New York at Binghamton where he leads the Image and Acoustic stream of FRI program. Umur’s main research focuses on deepfake detection and generation, using humancentric approaches. His research group also actively studies adversarial defenses against malicious uses of AI and novel approaches using AI for good. Being always on the lookout for watermarks that makes us human against synthetically generated or manipulated videos, Umur currently works with Ilke Demir of Intel in her battle against deepfakes, in collaboration with her Trusted Media team. For today, Friday 5 2 Umur’s Picks DAILY WACV Friday Orals Umur forgot to tell you that he's also presenting his poster #121 today with Ilke: How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection. Posters If you don’t remember Umur from his social media inspired poster at WACV 2023, you can certainly catch glimpses of him still trying to avoid cameras (saying My Face My Choice!), enthusiastically talking about deepfakes, and exploring WACV posters for inspiration and collaboration opportunities.
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