Dominik Zietlow

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 26

Top Topics

Computer Vision

Replicator Dynamics

Trained Classifiers

Top Venues

Publications

Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
Bridging the Gap to Real-World Object-Centric Learning. ICLR (2023)
Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
A data augmentation perspective on diffusion models and retrieval. CoRR (2023)
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
Unsupervised Open-Vocabulary Object Localization in Videos. ICCV (2023)
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
Object-Centric Multiple Object Tracking. CoRR (2023)
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CLeaR (2023)
Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
Image retrieval outperforms diffusion models on data augmentation. Trans. Mach. Learn. Res. 2023 (2023)
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CoRR (2023)
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
Object-Centric Multiple Object Tracking. ICCV (2023)
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
Unsupervised Open-Vocabulary Object Localization in Videos. CoRR (2023)
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
Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS (2022)
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CVPR (2022)
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
Assaying Out-Of-Distribution Generalization in Transfer Learning. CoRR (2022)
Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. CoRR (2022)
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
Bridging the Gap to Real-World Object-Centric Learning. CoRR (2022)
Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. NeurIPS (2022)
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CoRR (2022)
Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu
InvGAN: Invertible GANs. GCPR (2022)
Stefan Kehrer, Dominik Zietlow, Jochen Scheffold, Wolfgang Blochinger
Correction to: Self-tuning serverless task farming using proactive elasticity control. Clust. Comput. 24 (4) (2021)
Dominik Zietlow, Michal Rolinek, Georg Martius
Demystifying Inductive Biases for β-VAE Based Architectures. CoRR (2021)
Stefan Kehrer, Dominik Zietlow, Jochen Scheffold, Wolfgang Blochinger
Self-tuning serverless task farming using proactive elasticity control. Clust. Comput. 24 (2) (2021)
Dominik Zietlow, Michal Rolinek, Georg Martius
Demystifying Inductive Biases for (Beta-)VAE Based Architectures. ICML (2021)
Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu
InvGAN: Invertible GANs. CoRR (2021)
Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. CoRR (2020)
Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. ECCV (28) (2020)
Michal Rolinek, Dominik Zietlow, Georg Martius
Variational Autoencoders Pursue PCA Directions (by Accident). CVPR (2019)
Michal Rolinek, Dominik Zietlow, Georg Martius
Variational Autoencoders Pursue PCA Directions (by Accident). CoRR (2018)