Maximilian Seitzer

26 papers A* 9Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are Object-Centric Representations Better At Compositional Generalization? CoRR Ferdinand Kapl, Amir Mohammad Karimi-Mamaghan, Maximilian Seitzer, Karl Henrik Johansson, Carsten Marr, Stefan Bauer, Andrea Dittadi
2025	J	`jnl`	Back to the Features: DINO as a Foundation for Video World Models. CoRR Federico Baldassarre, Marc Szafraniec, Basile Terver, Vasil Khalidov, Francisco Massa, Yann LeCun, Patrick Labatut, Maximilian Seitzer, Piotr Bojanowski
2025	A*	`conf`	CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. CVPR Aniket Didolkar, Andrii Zadaianchuk, Rabiul Awal, Maximilian Seitzer, Efstratios Gavves, Aishwarya Agrawal
2025	J	`jnl`	CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. CoRR Aniket Didolkar, Andrii Zadaianchuk, Rabiul Awal, Maximilian Seitzer, Efstratios Gavves, Aishwarya Agrawal
2025	J	`jnl`	DINOv3. CoRR Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2025	A*	`conf`	On the Transfer of Object-Centric Representation Learning. ICLR Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael Curtis Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer
2025	A*	`conf`	Temporally Consistent Object-Centric Learning by Contrasting Slots. CVPR Anna Manasyan, Maximilian Seitzer, Filip Radovic, Georg Martius, Andrii Zadaianchuk
2024	A*	`conf`	DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. ICLR Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
2024	J	`jnl`	Temporally Consistent Object-Centric Learning by Contrasting Slots. CoRR Anna Manasyan, Maximilian Seitzer, Filip Radovic, Georg Martius, Andrii Zadaianchuk
2024	J	`jnl`	Zero-Shot Object-Centric Representation Learning. CoRR Aniket Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael C. Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer
2023	A*	`conf`	Bridging the Gap to Real-World Object-Centric Learning. ICLR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2023	J	`jnl`	DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. CoRR Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
2023	A*	`conf`	Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. NeurIPS Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
2023	J	`jnl`	Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. CoRR Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
2022	J	`jnl`	Bridging the Gap to Real-World Object-Centric Learning. CoRR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2022	A*	`conf`	On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. ICLR Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius
2022	J	`jnl`	On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. CoRR Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius
2021	A*	`conf`	Causal Influence Detection for Improving Efficiency in Reinforcement Learning. NeurIPS Maximilian Seitzer, Bernhard Schölkopf, Georg Martius
2021	J	`jnl`	Causal Influence Detection for Improving Efficiency in Reinforcement Learning. CoRR Maximilian Seitzer, Bernhard Schölkopf, Georg Martius
2021	A*	`conf`	Self-supervised Visual Reinforcement Learning with Object-centric Representations. ICLR Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
2020	J	`jnl`	NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Aggregated Convolutional Feature Maps. CoRR Maximilian Seitzer
2020	J	`jnl`	NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps. CoRR Maximilian Seitzer, Andreas Foltyn, Felix P. Kemeth
2020	J	`jnl`	Self-supervised Visual Reinforcement Learning with Object-centric Representations. CoRR Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
2018	—	`conf`	Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. MICCAI (1) Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
2018	J	`jnl`	Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. CoRR Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
2015	—	`conf`	A Bytecode Interpreter for Secure Program Execution in Untrusted Main Memory. ESORICS (2) Maximilian Seitzer, Michael Gruhn, Tilo Müller