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About Me

I am a Ph.D. candidate at the University of Tübingen and the Tübingen AI Center, supervised by Prof. Dr. Gerard Pons-Moll. My research is in 3D computer vision and digital humans, focusing on modeling human-object interactions, human motion, and egocentric vision.

I obtained my B.Sc. and M.Sc. from Moscow State University, where I worked on human shape and pose reconstruction from images. Before starting my Ph.D., I worked at Samsung AI Center on interactive image segmentation.

Carl Zeiss StiftungUniversity of TübingenTübingen AI CenterIMPRS-IS

Publications

ECHO: Ego-Centric modeling of Human-Object interactions
Ilya A. Petrov, Vladimir Guzov, Riccardo Marin, Emre Aksan, Xu Chen, Daniel Cremers, Thabo Beeler, Gerard Pons-Moll
ECHO: Ego-Centric modeling of Human-Object interactions
in European Conference on Computer Vision, 2026.
TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction
Nikos Athanasiou, Ilya A. Petrov, Angela Yao, Shugao Ma, Eric Sauser, Edoardo Remeli, Shreyas Hampali, Johannes Schönberger, Fadime Sener, Bugra Tekin
TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction
in European Conference on Computer Vision, 2026.
TriDi: Trilateral Diffusion of 3D Humans, Objects, and Interactions
Ilya A. Petrov, Riccardo Marin, Julian Chibane, Gerard Pons-Moll
TriDi: Trilateral Diffusion of 3D Humans, Objects, and Interactions
in Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025.
FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Ilya A. Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo Pérez Pellitero, Gerard Pons-Moll
FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction
in International Conference on 3D Vision (3DV), 2025.
Blendify - Python rendering framework for Blender
Vladimir Guzov, Ilya A. Petrov, Gerard Pons-Moll
Blendify - Python rendering framework for Blender
in Arxiv, 2024.
Object pop-up: Can we infer 3D objects and their poses from human interactions alone?
Ilya A. Petrov, Riccardo Marin, Julian Chibane, Gerard Pons-Moll
Object pop-up: Can we infer 3D objects and their poses from human interactions alone?
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
BEHAVE: Dataset and Method for Tracking Human Object Interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya A. Petrov, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
BEHAVE: Dataset and Method for Tracking Human Object Interactions
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
*The first two authors contributed equally.
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
Konstantin Sofiiuk, Ilya A. Petrov, Olga Barinova, Anton Konushin
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Oral