Dominik Zietlow

27 papers A* 8Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
A data augmentation perspective on diffusion models and retrieval.
CoRR
Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
2023 — —
An Analysis of the Inner Workings of Variational Autoencoders.
Dominik Zietlow
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 — conf
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning.
CLeaR
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023 J jnl
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning.
CoRR
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023 J jnl
Image retrieval outperforms diffusion models on data augmentation.
Trans. Mach. Learn. Res.
Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
2023 A* conf
Object-Centric Multiple Object Tracking.
ICCV
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023 J jnl
Object-Centric Multiple Object Tracking.
CoRR
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023 A* conf
Unsupervised Open-Vocabulary Object Localization in Videos.
ICCV
Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
2023 J jnl
Unsupervised Open-Vocabulary Object Localization in Videos.
CoRR
Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
2022 A* conf
Assaying Out-Of-Distribution Generalization in Transfer Learning.
NeurIPS
Florian Wenzel, Andrea Dittadi, Peter V. Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
2022 J jnl
Assaying Out-Of-Distribution Generalization in Transfer Learning.
CoRR
Florian Wenzel, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
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
Embrace the Gap: VAEs Perform Independent Mechanism Analysis.
NeurIPS
Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
2022 J jnl
Embrace the Gap: VAEs Perform Independent Mechanism Analysis.
CoRR
Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
2022 — conf
InvGAN: Invertible GANs.
GCPR
Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu
2022 A* conf
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.
CVPR
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
2022 J jnl
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.
CoRR
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
2021 J jnl
Correction to: Self-tuning serverless task farming using proactive elasticity control.
Clust. Comput.
Stefan Kehrer, Dominik Zietlow, Jochen Scheffold, Wolfgang Blochinger
2021 A* conf
Demystifying Inductive Biases for (Beta-)VAE Based Architectures.
ICML
Dominik Zietlow, Michal Rolínek, Georg Martius
2021 J jnl
Demystifying Inductive Biases for β-VAE Based Architectures.
CoRR
Dominik Zietlow, Michal Rolínek, Georg Martius
2021 J jnl
InvGAN: Invertible GANs.
CoRR
Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu
2021 J jnl
Self-tuning serverless task farming using proactive elasticity control.
Clust. Comput.
Stefan Kehrer, Dominik Zietlow, Jochen Scheffold, Wolfgang Blochinger
2020 — conf
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers.
ECCV (28)
Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
2020 J jnl
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers.
CoRR
Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
2019 A* conf
Variational Autoencoders Pursue PCA Directions (by Accident).
CVPR
Michal Rolínek, Dominik Zietlow, Georg Martius
2018 J jnl
Variational Autoencoders Pursue PCA Directions (by Accident).
CoRR
Michal Rolínek, Dominik Zietlow, Georg Martius