Ommer, Bjorn

70 publications

TMLR 2025 ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment Amir Aghdam, Vincent Tao Hu, Björn Ommer

AAAI 2025 CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro

CVPR 2025 CleanDIFT: Diffusion Features Without Noise Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer

CVPR 2025 Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Melvin Sevi, Vincent Tao Hu, Björn Ommer

AAAI 2025 DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

CVPR 2025 Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment Johannes Schusterbauer, Ming Gui, Frank Fundel, Björn Ommer

NeurIPS 2025 DisMo: Disentangled Motion Representations for Open-World Motion Transfer Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya, Stefan Andreas Baumann, Felix Krause, Ming Gui, Björn Ommer

WACV 2025 Distillation of Diffusion Features for Semantic Correspondence Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer

AAAI 2025 Does VLM Classification Benefit from LLM Description Semantics? Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer

CVPR 2025 Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis Yousef Yeganeh, Azade Farshad, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Björn Ommer, Nassir Navab, Ehsan Adeli

TMLR 2025 On the Challenges and Opportunities in Generative AI Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

ICCV 2025 SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Björn Ommer

ICCV 2025 Stochastic Interpolants for Revealing Stylistic Flows Across the History of Art Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Xiaopei Yang, Olga Grebenkova, Vincent Tao Hu, Björn Ommer

ICCV 2025 TREAD: Token Routing for Efficient Architecture-Agnostic Diffusion Training Felix Krause, Timy Phan, Ming Gui, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

ICCV 2025 What if: Understanding Motion Through Sparse Interactions Stefan Andreas Baumann, Nick Stracke, Timy Phan, Björn Ommer

ECCV 2024 CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Angel Bautista, Bjorn Ommer

ECCV 2024 FMBoost: Boosting Latent Diffusion with Flow Matching Johannes S Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

NeurIPS 2024 Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger

ECCV 2024 WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Bjorn Ommer

ECCV 2024 ZigMa: A DiT-Style Zigzag Mamba Diffusion Model Vincent Tao Hu, Stefan A Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S Fischer, Bjorn Ommer

ICMLW 2024 ZigMa: A DiT-Style Zigzag Mamba Diffusion Model Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Schusterbauer, Björn Ommer

CVPR 2023 Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer

ICCVW 2023 SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab

CVPR 2022 High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer

NeurIPS 2022 Retrieval-Augmented Diffusion Models Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer

CVPR 2021 Behavior-Driven Synthesis of Human Dynamics Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Bjorn Ommer

NeurIPS 2021 Characterizing Generalization Under Out-of-Distribution Shifts in Deep Metric Learning Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Bjorn Ommer

ICCV 2021 Geometry-Free View Synthesis: Transformers and No 3D Priors Robin Rombach, Patrick Esser, Björn Ommer

NeurIPS 2021 ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser, Robin Rombach, Andreas Blattmann, Bjorn Ommer

CVPR 2021 Learning Multi-Scale Photo Exposure Correction Mahmoud Afifi, Konstantinos G. Derpanis, Bjorn Ommer, Michael S. Brown

CVPR 2021 Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Bjorn Ommer

ICCV 2021 SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger

ICLR 2021 Shape or Texture: Understanding Discriminative Features in CNNs Md Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil Bruce

ICML 2021 Simultaneous Similarity-Based Self-Distillation for Deep Metric Learning Karsten Roth, Timo Milbich, Bjorn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi

CVPR 2021 Stochastic Image-to-Video Synthesis Using cINNs Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Bjorn Ommer

CVPR 2021 Taming Transformers for High-Resolution Image Synthesis Patrick Esser, Robin Rombach, Bjorn Ommer

CVPR 2021 Understanding Object Dynamics for Interactive Image-to-Video Synthesis Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Bjorn Ommer

ICCV 2021 iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer

ECCV 2020 DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen

ECCV 2020 Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs Robin Rombach, Patrick Esser, Björn Ommer

NeurIPS 2020 Network-to-Network Translation with Conditional Invertible Neural Networks Robin Rombach, Patrick Esser, Bjorn Ommer

ECCVW 2020 Object Retrieval and Localization in Large Art Collections Using Deep Multi-Style Feature Fusion and Iterative Voting Nikolai Ufer, Sabine Lang, Björn Ommer

ICML 2020 Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjorn Ommer, Joseph Paul Cohen

ECCV 2018 A Style-Aware Content Loss for Real-Time HD Style Transfer Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Bjorn Ommer

ECCV 2018 Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning Uta Buchler, Biagio Brattoli, Bjorn Ommer

ECCVW 2018 Reflecting on How Artworks Are Processed and Analyzed by Computer Vision Sabine Lang, Björn Ommer

ECCVW 2018 Towards Learning a Realistic Rendering of Human Behavior Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer

CVPR 2017 Deep Semantic Feature Matching Nikolai Ufer, Bjorn Ommer

CVPR 2017 Deep Unsupervised Similarity Learning Using Partially Ordered Sets Miguel A. Bautista, Artsiom Sanakoyeu, Bjorn Ommer

CVPR 2017 LSTM Self-Supervision for Detailed Behavior Analysis Biagio Brattoli, Uta Buchler, Anna-Sophia Wahl, Martin E. Schwab, Bjorn Ommer

ICCV 2017 Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos Omer Sumer, Tobias Dencker, Bjorn Ommer

ICCV 2017 Unsupervised Video Understanding by Reconciliation of Posture Similarities Timo Milbich, Miguel Bautista, Ekaterina Sutter, Bjorn Ommer

NeurIPS 2016 CliqueCNN: Deep Unsupervised Exemplar Learning Miguel A Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Bjorn Ommer

ICCV 2015 Per-Sample Kernel Adaptation for Visual Recognition and Grouping Borislav Antic, Bjorn Ommer

CVPR 2015 Regularizing Max-Margin Exemplars by Reconstruction and Generative Models Jose C. Rubio, Bjorn Ommer

ECCV 2014 Learning Latent Constituents for Recognition of Group Activities in Video Borislav Antic, Björn Ommer

WACV 2014 Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM Masato Takami, Peter Bell, Björn Ommer

CVPR 2014 Randomized Max-Margin Compositions for Visual Recognition Angela Eigenstetter, Masato Takami, Bjorn Ommer

ICCVW 2013 Less Is More: Video Trimming for Action Recognition Borislav Antic, Timo Milbich, Björn Ommer

ECCV 2012 Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping Antonio Monroy, Björn Ommer

ECCV 2012 From Meaningful Contours to Discriminative Object Shape Pradeep Yarlagadda, Björn Ommer

ECCV 2012 Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions Juan Antonio Monroy Kuhn, Peter Bell, Björn Ommer

ECCVW 2012 Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions Juan Antonio Monroy Kuhn, Peter Bell, Björn Ommer

NeurIPS 2012 Visual Recognition Using Embedded Feature Selection for Curvature Self-Similarity Angela Eigenstetter, Bjorn Ommer

ICCV 2011 Video Parsing for Abnormality Detection Borislav Antic, Björn Ommer

ECCV 2010 Voting by Grouping Dependent Parts Pradeep Yarlagadda, Antonio Monroy, Björn Ommer

ICCV 2009 Multi-Scale Object Detection by Clustering Lines Björn Ommer, Jitendra Malik

CVPR 2007 Learning the Compositional Nature of Visual Objects Björn Ommer, Joachim M. Buhmann

ECCV 2006 Learning Compositional Categorization Models Björn Ommer, Joachim M. Buhmann

CVPRW 2006 Learning Top-Down Grouping of Compositional Hierarchies for Recognition Björn Ommer, Michael Sauter, Joachim M. Buhmann