7 papers
TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction
Nikos Athanasiou, Ilya A. Petrov, Angela Yao +8
Vision and vision-language models rely on high-level visual representations that are increasingly used across recognition, retrieval, and multimodal reasoning pipelines. However, r…
UniCon3R: Unified Contact-aware 4D Human-Scene Reconstruction from Monocular Video
Tanuj Sur, Shashank Tripathi, Nikos Athanasiou +4
We introduce UniCon3R, a unified feed-forward framework for online human-scene 4D reconstruction from monocular video. Current feed-forward human-scene reconstruction methods suffe…
Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
Kiran Chhatre, Radek DanÄÄek, Nikos Athanasiou +4
Existing methods for synthesizing 3D human gestures from speech have shown promising results, but they do not explicitly model the impact of emotions on the generated gestures. Ins…
Contact-Aware Refinement of Human Pose Pseudo-Ground Truth via Bioimpedance Sensing
Maria-Paola Forte, Nikos Athanasiou, Giulia Ballardini +3
Capturing accurate 3D human pose in the wild would provide valuable data for training pose estimation and motion generation methods. While video-based estimation approaches have be…
FUSION: Full-Body Unified Motion Prior for Body and Hands via Diffusion
Enes Duran, Nikos Athanasiou, Muhammed Kocabas +2
Hands are central to interacting with our surroundings and conveying gestures, making their inclusion essential for full-body motion synthesis. Despite this, existing human motion…
FormCoach: Lift Smarter, Not Harder
Xiaoye Zuo, Nikos Athanasiou, Ginger Delmas +3
Good form is the difference between strength and strain, yet for the fast-growing community of at-home fitness enthusiasts, expert feedback is often out of reach. FormCoach transfo…