Andrii Zadaianchuk

According to our database, Andrii Zadaianchuk authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

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

CoRR, April, 2025

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

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

CoRR, March, 2025

On the Transfer of Object-Centric Representation Learning.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Temporally Consistent Object-Centric Learning by Contrasting Slots.

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

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

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

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

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

2024

Zero-Shot Object-Centric Representation Learning.

Aniket Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael C. Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer

CoRR, 2024

2023

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

Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Self-supervised Visual Reinforcement Learning with Object-centric Representations.

Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius

Proceedings of the 9th International Conference on Learning Representations, 2021

Self-supervised Reinforcement Learning with Independently Controllable Subgoals.

Andrii Zadaianchuk, Georg Martius, Fanny Yang

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models.

Diego Agudelo-España, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Schölkopf, Stefan Bauer, Manuel Wüthrich

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020