Publications

Morpheus: Benchmarking Physical Reasoning

Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments

Chenyu Zhang*, Daniil Cherniavskii*, Antonios Tragoudaras*, Antonios Vozikis, Thijmen Nijdam, Derck W. E. Prinzhorn, Mark Bodracska, Nicu Sebe, Andrii Zadaianchuk^, Efstratios Gavves^

arXiv, 2025

SENSEI: Semantic Exploration

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models

Cansu Sancaktar*, Christian Gumbsch*, Andrii Zadaianchuk, Pavel Kolev, Georg Martius

International Conference on Machine Learning, 2025

Temporally Consistent Object-Centric Learning

Temporally Consistent Object-Centric Learning by Contrasting Slots

Anna Manasyan, Maximilian Seitzer, Filip Radovic, Georg Martius, Andrii Zadaianchuk

IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CTRL-O: Language-Controllable Object-Centric

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

Aniket Didolkar*, Andrii Zadaianchuk*^, Rabiul Awal*, Maximilian Seitzer, Efstratios Gavves, Aishwarya Agrawal^

IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dream to Manipulate

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves

International Conference on Learning Representations, 2025

On the Transfer of Object-Centric Representation Learning

On the Transfer of Object-Centric Representation Learning

Aniket Rajiv Didolkar*, Andrii Zadaianchuk, Anirudh Goyal, Michael Curtis Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer*

International Conference on Learning Representations, 2025

Object-Centric Learning for Real-World Videos

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities

Andrii Zadaianchuk*, Maximilian Seitzer*, Georg Martius

Conference on Neural Information Processing Systems, 2023

Unsupervised Semantic Segmentation

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

Andrii Zadaianchuk, Matthäus Kleindessner, Yi Zhu, Francesco Locatello, Thomas Brox

International Conference on Learning Representations, 2023 (Spotlight Presentation)

Real World Object-Centric Learning

Bridging the Gap to Real World Object-Centric Learning

Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello

International Conference on Learning Representations, 2023

Reinforcement Learning with Subgoals

Self-supervised Reinforcement Learning with Independently Controllable Subgoals

Andrii Zadaianchuk, Georg Martius, Fanny Yang

Conference on Robot Learning, 2021

Visual Reinforcement Learning

Self-supervised Visual Reinforcement Learning with Object-centric Representations

Andrii Zadaianchuk*, Maximilian Seitzer*, Georg Martius

International Conference on Learning Representations, 2021 (Spotlight Presentation)

Dynamic Components Learning

Unsupervised Learning of Independently Controllable Dynamic Components

Andrii Zadaianchuk, Georg Martius

ICML Object-Oriented Learning Workshop, 2020

Transferable Dynamics Learning

A New Robotic Dataset for Transferable Dynamics Learning

Diego Alejandro Agudelo-España, Andrii Zadaianchuk, et al.

International Conference on Robotics and Automation, 2020