Bridging the gap to real-world object-centric learning M Seitzer, M Horn, A Zadaianchuk, D Zietlow, T Xiao, CJ Simon-Gabriel, ... International Conference on Learning Representations (ICLR) 2023, 2022 | 69 | 2022 |
Unsupervised semantic segmentation with self-supervised object-centric representations A Zadaianchuk, M Kleindessner, Y Zhu, F Locatello, T Brox International Conference on Learning Representations (ICLR) 2023, 2022 | 36 | 2022 |
Self-supervised Visual Reinforcement Learning with Object-centric Representations A Zadaianchuk, M Seitzer, G Martius International Conference on Learning Representations (ICLR) 2021, 2021 | 25 | 2021 |
Self-supervised reinforcement learning with independently controllable subgoals A Zadaianchuk, G Martius, F Yang Conference on Robot Learning (CoRL) 2021, 384-394, 2022 | 15 | 2022 |
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities A Zadaianchuk, M Seitzer, G Martius Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 6 | 2023 |
A real-robot dataset for assessing transferability of learned dynamics models D Agudelo-Espana, A Zadaianchuk, P Wenk, A Garg, J Akpo, ... International Conference on Robotics and Automation (ICRA), 2020, 8151-8157, 2020 | 6 | 2020 |
Online Step Size Adaptation for Stochastic Optimization A Zadaianchuk Eberhard-Karls-Universität Tübingen, 2018 | | 2018 |