| 2026 | KDD | Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? | Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Bjrn Ommer, Xiangyang Ji |
| 2025 | AAAI | Does VLM Classification Benefit from LLM Description Semantics? | Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Bjrn Ommer |
| 2025 | AAAI | CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation. | Aram Davtyan, Sepehr Sameni, Bjrn Ommer, Paolo Favaro |
| 2025 | AAAI | 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, Bjrn Ommer |
| 2025 | CVPR | 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, Bjrn Ommer |
| 2025 | CVPR | Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment. | Johannes Schusterbauer, Ming Gui, Frank Fundel, Bjrn Ommer |
| 2025 | CVPR | CleanDIFT: Diffusion Features without Noise. | Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Bjrn Ommer |
| 2025 | CVPR | Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. | Yousef Yeganeh, Azade Farshad, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Bjrn Ommer, Nassir Navab, Ehsan Adeli |
| 2025 | ICCV | What If: Understanding Motion Through Sparse Interactions. | Stefan Andreas Baumann, Nick Stracke, Timy Phan, Bjrn Ommer |
| 2025 | ICCV | Tread: Token Routing for Efficient Architecture-Agnostic Diffusion Training. | Felix Krause, Timy Phan, Ming Gui, Stefan Andreas Baumann, Vincent Tao Hu, Bjrn Ommer |
| 2025 | ICCV | Stochastic Interpolants for Revealing Stylistic Flows Across the History of Art. | Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Xiaopei Yang, Olga Grebenkova, Vincent Tao Hu, Bjrn Ommer |
| 2025 | ICCV | SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models. | Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Bjrn Ommer |
| 2025 | WACV | Distillation of Diffusion Features for Semantic Correspondence. | Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Bjrn Ommer |
| 2024 | EACL | Flow Matching for Conditional Text Generation in a Few Sampling Steps. | Vincent Tao Hu, Di Wu, Yuki Markus Asano, Pascal Mettes, Basura Fernando, Bjrn Ommer, Cees Snoek |
| 2024 | ECCV | ZigMa: A DiT-style Zigzag Mamba Diffusion Model. | Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Bjrn Ommer |
| 2024 | ECCV | 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, Bjrn Ommer |
| 2024 | ECCV | FMBoost: Boosting Latent Diffusion with Flow Matching. | Johannes Schusterbauer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Bjrn Ommer |
| 2024 | ECCV | CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models. | Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel ngel Bautista, Bjrn Ommer |
| 2023 | CVPR | Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. | Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Bjrn Ommer |
| 2022 | BMVC | Maximizing Mutual Shape Information. | Md. Amirul Islam, Matthew Kowal, Patrick Esser, Bjrn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce |
| 2022 | CVPR | High-Resolution Image Synthesis with Latent Diffusion Models. | Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Bjrn Ommer |
| 2021 | BMVC | Unsupervised View-Invariant Human Posture Representation. | Faegheh Sardari, Bjrn Ommer, Majid Mirmehdi |
| 2021 | CVPR | Learning Multi-Scale Photo Exposure Correction. | Mahmoud Afifi, Konstantinos G. Derpanis, Bjrn Ommer, Michael S. Brown |
| 2021 | CVPR | Understanding Object Dynamics for Interactive Image-to-Video Synthesis. | Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Bjrn Ommer |
| 2021 | CVPR | Behavior-Driven Synthesis of Human Dynamics. | Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Bjrn Ommer |
| 2021 | CVPR | Stochastic Image-to-Video Synthesis Using cINNs. | Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Bjrn Ommer |
| 2021 | CVPR | Taming Transformers for High-Resolution Image Synthesis. | Patrick Esser, Robin Rombach, Bjrn Ommer |
| 2021 | CVPR | Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. | Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Bjrn Ommer |
| 2021 | ICCV | SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. | Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Bjrn Ommer, Andreas Geiger |
| 2021 | ICCV | iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. | Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Bjrn Ommer |
| 2021 | ICCV | Geometry-Free View Synthesis: Transformers and no 3D Priors. | Robin Rombach, Patrick Esser, Bjrn Ommer |
| 2021 | ICLR | Shape or Texture: Understanding Discriminative Features in CNNs. | Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Bjrn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce |
| 2021 | ICML | Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. | Karsten Roth, Timo Milbich, Bjrn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi |
| 2021 | ICRA | VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. | David Emmerichs, Peter Pinggera, Bjrn Ommer |
| 2020 | CVPR | Unsupervised Magnification of Posture Deviations Across Subjects. | Michael Dorkenwald, Uta Bchler, Bjrn Ommer |
| 2020 | CVPR | A Disentangling Invertible Interpretation Network for Explaining Latent Representations. | Patrick Esser, Robin Rombach, Bjrn Ommer |
| 2020 | CVPR | PADS: Policy-Adapted Sampling for Visual Similarity Learning. | Karsten Roth, Timo Milbich, Bjrn Ommer |
| 2020 | ECCV | DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. | Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Bjrn Ommer, Joseph Paul Cohen |
| 2020 | ECCV | Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. | Robin Rombach, Patrick Esser, Bjrn Ommer |
| 2020 | ECCV | Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting. | Nikolai Ufer, Sabine Lang, Bjrn Ommer |
| 2020 | ICML | Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. | Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjrn Ommer, Joseph Paul Cohen |
| 2019 | CVPR | A Content Transformation Block for Image Style Transfer. | Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Bjrn Ommer |
| 2019 | CVPR | Unsupervised Part-Based Disentangling of Object Shape and Appearance. | Dominik Lorenz, Leonard F. Bereska, Timo Milbich, Bjrn Ommer |
| 2019 | CVPR | Divide and Conquer the Embedding Space for Metric Learning. | Artsiom Sanakoyeu, Vadim Tschernezki, Uta Bchler, Bjrn Ommer |
| 2019 | ICCV | MIC: Mining Interclass Characteristics for Improved Metric Learning. | Biagio Brattoli, Karsten Roth, Bjrn Ommer |
| 2019 | ICCV | Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. | Patrick Esser, Johannes Haux, Bjrn Ommer |
| 2019 | ICCV | Content and Style Disentanglement for Artistic Style Transfer. | Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Bjrn Ommer |
| 2018 | CVPR | A Variational U-Net for Conditional Appearance and Shape Generation. | Patrick Esser, Ekaterina Sutter, Bjrn Ommer |
| 2018 | ECCV | Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. | Uta Bchler, Biagio Brattoli, Bjrn Ommer |
| 2018 | ECCV | Towards Learning a Realistic Rendering of Human Behavior. | Patrick Esser, Johannes Haux, Timo Milbich, Bjrn Ommer |
| 2018 | ECCV | Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. | Sabine Lang, Bjrn Ommer |
| 2018 | ECCV | A Style-Aware Content Loss for Real-Time HD Style Transfer. | Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Bjrn Ommer |
| 2017 | CVPR | Deep Unsupervised Similarity Learning Using Partially Ordered Sets. | Miguel ngel Bautista, Artsiom Sanakoyeu, Bjrn Ommer |
| 2017 | CVPR | LSTM Self-Supervision for Detailed Behavior Analysis. | Biagio Brattoli, Uta Bchler, Anna-Sophia Wahl, Martin E. Schwab, Bjrn Ommer |
| 2017 | CVPR | Deep Semantic Feature Matching. | Nikolai Ufer, Bjrn Ommer |
| 2017 | ICCV | Unsupervised Video Understanding by Reconciliation of Posture Similarities. | Timo Milbich, Miguel ngel Bautista, Ekaterina Sutter, Bjrn Ommer |
| 2017 | ICCV | Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. | mer Smer, Tobias Dencker, Bjrn Ommer |
| 2015 | CVPR | Regularizing max-margin exemplars by reconstruction and generative models. | Jos C. Rubio, Bjrn Ommer |
| 2015 | ICCV | Per-Sample Kernel Adaptation for Visual Recognition and Grouping. | Borislav Antic, Bjrn Ommer |
| 2015 | MICCAI | Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery. | Borislav Antic, Uta Bchler, Anna-Sophia Wahl, Martin E. Schwab, Bjrn Ommer |
| 2014 | CVPR | Randomized Max-Margin Compositions for Visual Recognition. | Angela Eigenstetter, Masato Takami, Bjrn Ommer |
| 2014 | ECCV | Learning Latent Constituents for Recognition of Group Activities in Video. | Borislav Antic, Bjrn Ommer |
| 2014 | MICCAI | Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. | Melih Kandemir, Jos C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Bjrn Ommer, Fred A. Hamprecht |
| 2014 | WACV | Offline learning of prototypical negatives for efficient online Exemplar SVM. | Masato Takami, Peter Bell, Bjrn Ommer |
| 2012 | ACCV | Robust Multiple-Instance Learning with Superbags. | Borislav Antic, Bjrn Ommer |
| 2012 | ACCV | Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching. | Angela Eigenstetter, Pradeep Krishna Yarlagadda, Bjrn Ommer |
| 2012 | BMVC | Learning Discriminative Chamfer Regularization. | Pradeep Yarlagadda, Angela Eigenstetter, Bjrn Ommer |
| 2012 | ECCV | Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions. | Juan Antonio Monroy Kuhn, Peter Bell, Bjrn Ommer |
| 2012 | ECCV | Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping. | Antonio Monroy, Bjrn Ommer |
| 2012 | ECCV | From Meaningful Contours to Discriminative Object Shape. | Pradeep Yarlagadda, Bjrn Ommer |
| 2011 | BMVC | Contour-based object detection. | Joseph Schlecht, Bjrn Ommer |
| 2011 | ICCV | Video parsing for abnormality detection. | Borislav Antic, Bjrn Ommer |
| 2011 | ICIP | Reconstructing the drawing process of reproductions from medieval images. | Antonio Monroy, Bernd Carqu, Bjrn Ommer |
| 2011 | ICIP | Beyond straight lines - Object detection using curvature. | Antonio Monroy, Angela Eigenstetter, Bjrn Ommer |
| 2011 | ICIP | Detecting gestures in medieval images. | Joseph Schlecht, Bernd Carqu, Bjrn Ommer |
| 2010 | ACCV | Efficient Clustering Earth Mover's Distance. | Jenny Wagner, Bjrn Ommer |
| 2010 | ACCV | Recognition and Analysis of Objects in Medieval Images. | Pradeep Yarlagadda, Antonio Monroy, Bernd Carqu, Bjrn Ommer |
| 2010 | ECCV | Voting by Grouping Dependent Parts. | Pradeep Yarlagadda, Antonio Monroy, Bjrn Ommer |
| 2009 | ICCV | Multi-scale object detection by clustering lines. | Bjrn Ommer, Jitendra Malik |
| 2007 | CVPR | Learning the Compositional Nature of Visual Objects. | Bjrn Ommer, Joachim M. Buhmann |
| 2006 | CVPR | Learning Top-Down Grouping of Compositional Hierarchies for Recognition. | Bjrn Ommer, Michael Sauter, Joachim M. Buhmann |
| 2006 | ECCV | Learning Compositional Categorization Models. | Bjrn Ommer, Joachim M. Buhmann |