Serdar Ozsoy — accepted AI-conference papers

2026

EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses

Enrico Pallotta, Sina Mokhtarzadeh Azar, Lars Doorenbos, Serdar Ozsoy, Umar Iqbal, Juergen Gall

CVPR 2026

Egocentric video generation with fine-grained control through body motion is a key requirement towards embodied AI agents that can simulate, predict, and plan actions. In this work, we propose EgoControl, a pose-controllable video diffusion model trained on egocentric data. We train a video predicti

Cited by 0 Source ↗code ↗Scholar ↗

2022

Self-Supervised Learning with an Information Maximization Criterion

Serdar Ozsoy, Shadi Hamdan, Sercan O Arik, Deniz Yuret, Alper Tunga Erdogan

NeurIPS 2022accept

Self-supervised learning allows AI systems to learn effective representations from large amounts of data using tasks that do not require costly labeling. Mode collapse, i.e., the model producing identical representations for all inputs, is a central problem to many self-supervised learning approache…

Cited by 40 Source ↗PDF ↗code ↗Scholar ↗