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ORCIDBjörn Ommer
Person information
- affiliation: LMU Munich, Germany
- affiliation (former): Heidelberg University, Interdisciplinary Center for Scientific Computing, Germany
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2020 – today
- 2024
[j13]Ryan Po, Wang Yifan
, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43(2): i-iii (2024)- [c90]Vincent Tao Hu, Di Wu, Yuki Markus Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees Snoek:
Flow Matching for Conditional Text Generation in a Few Sampling Steps. EACL (2) 2024: 380-392 - [c89]Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien:
Quantum Denoising Diffusion Models. QSW 2024: 88-98 - [i61]Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien:
Quantum Denoising Diffusion Models. CoRR abs/2401.07049 (2024) - [i60]Laura Manduchi, 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 T. 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:
On the Challenges and Opportunities in Generative AI. CoRR abs/2403.00025 (2024) - [i59]Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer:
DepthFM: Fast Monocular Depth Estimation with Flow Matching. CoRR abs/2403.13788 (2024) - [i58]Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer:
ZigMa: A DiT-style Zigzag Mamba Diffusion Model. CoRR abs/2403.13802 (2024) - [i57]Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro:
Enabling Visual Composition and Animation in Unsupervised Video Generation. CoRR abs/2403.14368 (2024) - [i56]Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, Björn Ommer:
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions. CoRR abs/2403.17064 (2024) - [i55]Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer:
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models. CoRR abs/2405.07913 (2024) - [i54]Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger:
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. CoRR abs/2406.02485 (2024) - [i53]Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer:
Diffusion Models and Representation Learning: A Survey. CoRR abs/2407.00783 (2024) - 2023
- [c88]Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer:
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. CVPR 2023: 11070-11081 - [c87]Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab:
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. ICCV (Workshops) 2023: 88-98 - [i52]Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab:
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. CoRR abs/2304.14573 (2023) - [i51]Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023) - [i50]Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Björn Ommer:
Boosting Latent Diffusion with Flow Matching. CoRR abs/2312.07360 (2023) - [i49]Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer:
Guided Diffusion from Self-Supervised Diffusion Features. CoRR abs/2312.08825 (2023) - [i48]Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek:
Motion Flow Matching for Human Motion Synthesis and Editing. CoRR abs/2312.08895 (2023) - 2022
- [j12]Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 416-427 (2022) - [j11]Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8306-8320 (2022) - [c86]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Maximizing Mutual Shape Information. BMVC 2022: 909 - [c85]Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer:
High-Resolution Image Synthesis with Latent Diffusion Models. CVPR 2022: 10674-10685 - [c84]Matthias Wright, Björn Ommer:
ArtFID: Quantitative Evaluation of Neural Style Transfer. GCPR 2022: 560-576 - [c83]Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer:
Retrieval-Augmented Diffusion Models. NeurIPS 2022 - [i47]Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer:
Retrieval-Augmented Diffusion Models. CoRR abs/2204.11824 (2022) - [i46]Matthias Wright, Björn Ommer:
ArtFID: Quantitative Evaluation of Neural Style Transfer. CoRR abs/2207.12280 (2022) - [i45]Robin Rombach, Andreas Blattmann, Björn Ommer:
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models. CoRR abs/2207.13038 (2022) - 2021
- [j10]Sabine Lang, Björn Ommer:
Transforming Information Into Knowledge: How Computational Methods Reshape Art History. Digit. Humanit. Q. 15(3) (2021) - [j9]Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer:
Unsupervised behaviour analysis and magnification (uBAM) using deep learning. Nat. Mach. Intell. 3(6): 495-506 (2021) - [c82]Faegheh Sardari, Björn Ommer, Majid Mirmehdi:
Unsupervised View-Invariant Human Posture Representation. BMVC 2021: 167 - [c81]Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer:
Stochastic Image-to-Video Synthesis Using cINNs. CVPR 2021: 3742-3753 - [c80]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CVPR 2021: 5171-5181 - [c79]Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown:
Learning Multi-Scale Photo Exposure Correction. CVPR 2021: 9157-9167 - [c78]Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer:
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. CVPR 2021: 12196-12205 - [c77]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Behavior-Driven Synthesis of Human Dynamics. CVPR 2021: 12236-12246 - [c76]Patrick Esser, Robin Rombach, Björn Ommer:
Taming Transformers for High-Resolution Image Synthesis. CVPR 2021: 12873-12883 - [c75]Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger:
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. ICCV 2021: 13106-13116 - [c74]Robin Rombach, Patrick Esser, Björn Ommer:
Geometry-Free View Synthesis: Transformers and no 3D Priors. ICCV 2021: 14336-14346 - [c73]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. ICCV 2021: 14687-14697 - [c72]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR 2021 - [c71]Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi:
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. ICML 2021: 9095-9106 - [c70]David Emmerichs, Peter Pinggera, Björn Ommer:
VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. ICRA 2021: 13279-13285 - [c69]Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer:
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. NeurIPS 2021: 3518-3532 - [c68]Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer:
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. NeurIPS 2021: 25006-25018 - [i44]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR abs/2101.11604 (2021) - [i43]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Behavior-Driven Synthesis of Human Dynamics. CoRR abs/2103.04677 (2021) - [i42]Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer:
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. CoRR abs/2103.17185 (2021) - [i41]Robin Rombach, Patrick Esser, Björn Ommer:
Geometry-Free View Synthesis: Transformers and no 3D Priors. CoRR abs/2104.07652 (2021) - [i40]Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer:
Stochastic Image-to-Video Synthesis using cINNs. CoRR abs/2105.04551 (2021) - [i39]Manuel Jahn, Robin Rombach, Björn Ommer:
High-Resolution Complex Scene Synthesis with Transformers. CoRR abs/2105.06458 (2021) - [i38]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CoRR abs/2106.11303 (2021) - [i37]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. CoRR abs/2107.02790 (2021) - [i36]Nikolai Ufer, Sabine Lang, Björn Ommer:
Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting. CoRR abs/2107.06935 (2021) - [i35]Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer:
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. CoRR abs/2107.09562 (2021) - [i34]Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer:
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. CoRR abs/2108.08827 (2021) - [i33]Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. CoRR abs/2109.04003 (2021) - [i32]Faegheh Sardari, Björn Ommer, Majid Mirmehdi:
Unsupervised View-Invariant Human Posture Representation. CoRR abs/2109.08730 (2021) - [i31]Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer:
High-Resolution Image Synthesis with Latent Diffusion Models. CoRR abs/2112.10752 (2021) - 2020
- [j8]Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer:
Unsupervised representation learning by discovering reliable image relations. Pattern Recognit. 102: 107107 (2020) - [c67]Karsten Roth, Timo Milbich, Björn Ommer:
PADS: Policy-Adapted Sampling for Visual Similarity Learning. CVPR 2020: 6567-6576 - [c66]Michael Dorkenwald, Uta Büchler, Björn Ommer:
Unsupervised Magnification of Posture Deviations Across Subjects. CVPR 2020: 8253-8263 - [c65]Patrick Esser, Robin Rombach, Björn Ommer:
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CVPR 2020: 9220-9229 - [c64]Sandro Braun, Patrick Esser, Björn Ommer:
Unsupervised Part Discovery by Unsupervised Disentanglement. GCPR 2020: 345-359 - [c63]Nikolai Ufer, Sabine Lang, Björn Ommer:
Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting. ECCV Workshops (2) 2020: 159-176 - [c62]Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen:
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) 2020: 590-607 - [c61]Robin Rombach, Patrick Esser, Björn Ommer:
Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. ECCV (17) 2020: 647-664 - [c60]Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen:
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML 2020: 8242-8252 - [c59]Robin Rombach, Patrick Esser, Björn Ommer:
Network-to-Network Translation with Conditional Invertible Neural Networks. NeurIPS 2020 - [i30]Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen:
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR abs/2002.08473 (2020) - [i29]Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer:
A Content Transformation Block For Image Style Transfer. CoRR abs/2003.08407 (2020) - [i28]Karsten Roth, Timo Milbich, Björn Ommer:
PADS: Policy-Adapted Sampling for Visual Similarity Learning. CoRR abs/2003.11113 (2020) - [i27]Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown:
Learning to Correct Overexposed and Underexposed Photos. CoRR abs/2003.11596 (2020) - [i26]Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. CoRR abs/2004.05582 (2020) - [i25]Patrick Esser, Robin Rombach, Björn Ommer:
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CoRR abs/2004.13166 (2020) - [i24]Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen:
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR abs/2004.13458 (2020) - [i23]Robin Rombach, Patrick Esser, Björn Ommer:
Network Fusion for Content Creation with Conditional INNs. CoRR abs/2005.13580 (2020) - [i22]Robin Rombach, Patrick Esser, Björn Ommer:
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. CoRR abs/2008.01777 (2020) - [i21]Sandro Braun, Patrick Esser, Björn Ommer:
Unsupervised Part Discovery by Unsupervised Disentanglement. CoRR abs/2009.04264 (2020) - [i20]Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi:
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. CoRR abs/2009.08348 (2020) - [i19]Patrick Esser, Robin Rombach, Björn Ommer:
A Note on Data Biases in Generative Models. CoRR abs/2012.02516 (2020) - [i18]Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer:
uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. CoRR abs/2012.09237 (2020) - [i17]Patrick Esser, Robin Rombach, Björn Ommer:
Taming Transformers for High-Resolution Image Synthesis. CoRR abs/2012.09841 (2020)
2010 – 2019
- 2019
- [c58]Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. CVPR 2019: 471-480 - [c57]Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer:
A Content Transformation Block for Image Style Transfer. CVPR 2019: 10032-10041 - [c56]Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer:
Unsupervised Part-Based Disentangling of Object Shape and Appearance. CVPR 2019: 10955-10964 - [c55]Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer:
Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation. GCPR 2019: 456-470 - [c54]Patrick Esser, Johannes Haux, Björn Ommer:
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. ICCV 2019: 2699-2709 - [c53]Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer:
Content and Style Disentanglement for Artistic Style Transfer. ICCV 2019: 4421-4430 - [c52]Biagio Brattoli, Karsten Roth, Björn Ommer:
MIC: Mining Interclass Characteristics for Improved Metric Learning. ICCV 2019: 7999-8008 - [i16]Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer:
Unsupervised Part-Based Disentangling of Object Shape and Appearance. CoRR abs/1903.06946 (2019) - [i15]Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. CoRR abs/1906.05990 (2019) - [i14]Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer:
Multi-Scale Convolutions for Learning Context Aware Feature Representations. CoRR abs/1906.06978 (2019) - [i13]Karsten Roth, Biagio Brattoli, Björn Ommer:
MIC: Mining Interclass Characteristics for Improved Metric Learning. CoRR abs/1909.11574 (2019) - [i12]Patrick Esser, Johannes Haux, Björn Ommer:
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. CoRR abs/1910.10223 (2019) - [i11]Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer:
Unsupervised Representation Learning by Discovering Reliable Image Relations. CoRR abs/1911.07808 (2019) - 2018
- [j7]Sabine Lang, Björn Ommer:
Attesting similarity: Supporting the organization and study of art image collections with computer vision. Digit. Scholarsh. Humanit. 33(4): 845-856 (2018) - [j6]Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep unsupervised learning of visual similarities. Pattern Recognit. 78: 331-343 (2018) - [c51]Patrick Esser, Ekaterina Sutter, Björn Ommer:
A Variational U-Net for Conditional Appearance and Shape Generation. CVPR 2018: 8857-8866 - [c50]Oliver Blum, Biagio Brattoli, Björn Ommer:
X-GAN: Improving Generative Adversarial Networks with ConveX Combinations. GCPR 2018: 199-214 - [c49]Nawid Sayed, Biagio Brattoli, Björn Ommer:
Cross and Learn: Cross-Modal Self-supervision. GCPR 2018: 228-243 - [c48]Simon Donig, Siegfried Handschuh, Erik Radisch, Malte Rehbein, Canan Hastik, Hubertus Kohle, Björn Ommer:
Der ferne Blick. Bildkorpora und Computer Vision in den Geistes- und Kulturwissenschaften - Stand - Visionen - Implikationen. DHd 2018 - [c47]Leonardo Laurence Impett, Peter Bell, Benoit Seguin, Björn Ommer:
Beyond Image Search: Computer Vision in Western Art History. DH 2018: 73-75 - [c46]Sabine Lang, Björn Ommer:
Urban Art in a Digital Context: A Computer-Based Evaluation of Street Art and Graffiti Writing. DH 2018: 419-421 - [c45]Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer:
Towards Learning a Realistic Rendering of Human Behavior. ECCV Workshops (2) 2018: 409-425 - [c44]Sabine Lang, Björn Ommer:
Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. ECCV Workshops (2) 2018: 647-652 - [c43]Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer:
A Style-Aware Content Loss for Real-Time HD Style Transfer. ECCV (8) 2018: 715-731 - [c42]Uta Büchler, Biagio Brattoli, Björn Ommer:
Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. ECCV (15) 2018: 797-814 - [c41]Omair Ghori, Radek Mackowiak, Miguel Ángel Bautista, Niklas Beuter, Lucas Drumond, Ferran Diego, Björn Ommer:
Learning to Forecast Pedestrian Intention from Pose Dynamics. Intelligent Vehicles Symposium 2018: 1277-1284 - [i10]Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep Unsupervised Learning of Visual Similarities. CoRR abs/1802.08562 (2018) - [i9]Patrick Esser, Ekaterina Sutter, Björn Ommer:
A Variational U-Net for Conditional Appearance and Shape Generation. CoRR abs/1804.04694 (2018) - [i8]Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer:
A Style-Aware Content Loss for Real-time HD Style Transfer. CoRR abs/1807.10201 (2018) - [i7]Uta Büchler, Biagio Brattoli, Björn Ommer:
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. CoRR abs/1807.11293 (2018) - [i6]Nawid Sayed, Biagio Brattoli, Björn Ommer:
Cross and Learn: Cross-Modal Self-Supervision. CoRR abs/1811.03879 (2018) - 2017
- [c40]Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning Using Partially Ordered Sets. CVPR 2017: 1923-1932 - [c39]Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer:
LSTM Self-Supervision for Detailed Behavior Analysis. CVPR 2017: 3747-3756 - [c38]Nikolai Ufer, Björn Ommer:
Deep Semantic Feature Matching. CVPR 2017: 5929-5938 - [c37]Miguel Ángel Bautista, Patrick Fuchs, Björn Ommer:
Learning Where to Drive by Watching Others. GCPR 2017: 29-40 - [c36]Ömer Sümer, Tobias Dencker, Björn Ommer:
Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. ICCV 2017: 4308-4317 - [c35]Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer:
Unsupervised Video Understanding by Reconciliation of Posture Similarities. ICCV 2017: 4404-4414 - [i5]Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning using Partially Ordered Sets. CoRR abs/1704.02268 (2017) - [i4]Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer:
Unsupervised Video Understanding by Reconciliation of Posture Similarities. CoRR abs/1708.01191 (2017) - [i3]Ömer Sümer, Tobias Dencker, Björn Ommer:
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. CoRR abs/1708.02179 (2017) - 2016
- [c34]Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer:
CliqueCNN: Deep Unsupervised Exemplar Learning. NIPS 2016: 3846-3854 - [i2]Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Sutter, Björn Ommer:
CliqueCNN: Deep Unsupervised Exemplar Learning. CoRR abs/1608.08792 (2016) - 2015
- [j5]Pradeep Yarlagadda, Björn Ommer:
Beyond the Sum of Parts: Voting with Groups of Dependent Entities. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1134-1147 (2015) - [j4]José C. Rubio, Angela Eigenstetter, Björn Ommer:
Generative regularization with latent topics for discriminative object recognition. Pattern Recognit. 48(12): 3871-3880 (2015) - [c33]José C. Rubio, Björn Ommer:
Regularizing max-margin exemplars by reconstruction and generative models. CVPR 2015: 4213-4221 - [c32]Borislav Antic, Björn Ommer:
Per-Sample Kernel Adaptation for Visual Recognition and Grouping. ICCV 2015: 1251-1259 - [c31]Borislav Antic, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer:
Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery. MICCAI (3) 2015: 467-475 - [i1]Borislav Antic, Björn Ommer:
Spatio-temporal Video Parsing for Abnormality Detection. CoRR abs/1502.06235 (2015) - 2014
- [j3]Antonio Monroy, Peter Bell, Björn Ommer:
Morphological analysis for investigating artistic images. Image Vis. Comput. 32(6-7): 414-423 (2014) - [c30]Angela Eigenstetter, Masato Takami, Björn Ommer:
Randomized Max-Margin Compositions for Visual Recognition. CVPR 2014: 3590-3597 - [c29]Borislav Antic, Björn Ommer:
Learning Latent Constituents for Recognition of Group Activities in Video. ECCV (1) 2014: 33-47 - [c28]Melih Kandemir, José C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Björn Ommer, Fred A. Hamprecht:
Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. MICCAI (2) 2014: 154-161 - [c27]Masato Takami, Peter Bell, Björn Ommer:
An Approach to Large Scale Interactive Retrieval of Cultural Heritage. GCH 2014: 87-95 - [c26]Masato Takami, Peter Bell, Björn Ommer:
Offline learning of prototypical negatives for efficient online Exemplar SVM. WACV 2014: 377-384 - 2013
- [c25]Borislav Antic, Timo Milbich, Björn Ommer:
Less Is More: Video Trimming for Action Recognition. ICCV Workshops 2013: 515-521 - [p1]Björn Ommer:
The Role of Shape in Visual Recognition. Shape Perception in Human and Computer Vision 2013: 373-385 - 2012
- [c24]Angela Eigenstetter, Pradeep Krishna Yarlagadda, Björn Ommer:
Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching. ACCV (1) 2012: 152-163 - [c23]Borislav Antic, Björn Ommer:
Robust Multiple-Instance Learning with Superbags. ACCV (2) 2012: 242-255 - [c22]Pradeep Yarlagadda, Angela Eigenstetter, Björn Ommer:
Learning Discriminative Chamfer Regularization. BMVC 2012: 1-11 - [c21]Juan Antonio Monroy Kuhn, Peter Bell, Björn Ommer:
Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions. ECCV Workshops (1) 2012: 571-580 - [c20]Antonio Monroy, Björn Ommer:
Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping. ECCV (3) 2012: 580-593 - [c19]Pradeep Yarlagadda, Björn Ommer:
From Meaningful Contours to Discriminative Object Shape. ECCV (1) 2012: 766-779 - [c18]Angela Eigenstetter, Björn Ommer:
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity. NIPS 2012: 386-394 - 2011
- [c17]Joseph Schlecht, Björn Ommer:
Contour-based object detection. BMVC 2011: 1-9 - [c16]Pradeep Yarlagadda, Antonio Monroy, Bernd Carqué, Björn Ommer:
Top-down analysis of low-level object relatedness leading to semantic understanding of medieval image collections. Computer Vision and Image Analysis of Art 2011: 786906 - [c15]Borislav Antic, Björn Ommer:
Video parsing for abnormality detection. ICCV 2011: 2415-2422 - [c14]Joseph Schlecht, Bernd Carqué, Björn Ommer:
Detecting gestures in medieval images. ICIP 2011: 1285-1288 - [c13]Antonio Monroy, Bernd Carqué, Björn Ommer:
Reconstructing the drawing process of reproductions from medieval images. ICIP 2011: 2917-2920 - [c12]Antonio Monroy, Angela Eigenstetter, Björn Ommer:
Beyond straight lines - Object detection using curvature. ICIP 2011: 3561-3564 - 2010
- [j2]Björn Ommer, Joachim M. Buhmann:
Learning the Compositional Nature of Visual Object Categories for Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 501-516 (2010) - [c11]Pradeep Yarlagadda, Antonio Monroy, Bernd Carqué, Björn Ommer:
Recognition and Analysis of Objects in Medieval Images. ACCV Workshops (2) 2010: 296-305 - [c10]Jenny Wagner, Björn Ommer:
Efficient Clustering Earth Mover's Distance. ACCV (2) 2010: 477-488 - [c9]Pradeep Yarlagadda, Antonio Monroy, Björn Ommer:
Voting by Grouping Dependent Parts. ECCV (5) 2010: 197-210
2000 – 2009
- 2009
- [j1]Björn Ommer, Theodor Mader, Joachim M. Buhmann:
Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera. Int. J. Comput. Vis. 83(1): 57-71 (2009) - [c8]Björn Ommer, Jitendra Malik:
Multi-scale object detection by clustering lines. ICCV 2009: 484-491 - 2007
- [b1]Björn Ommer:
Learning the Compositional Nature of Objects for Visual Recognition. ETH Zurich, Zürich, Switzerland, 2007 - [c7]Björn Ommer, Joachim M. Buhmann:
Learning the Compositional Nature of Visual Objects. CVPR 2007 - [c6]Björn Ommer, Joachim M. Buhmann:
Compositional Object Recognition, Segmentation, and Tracking in Video. EMMCVPR 2007: 318-333 - 2006
- [c5]Björn Ommer, Michael Sauter, Joachim M. Buhmann:
Learning Top-Down Grouping of Compositional Hierarchies for Recognition. CVPR Workshops 2006: 194 - [c4]Volker Roth, Björn Ommer:
Exploiting Low-Level Image Segmentation for Object Recognition. DAGM-Symposium 2006: 11-20 - [c3]Björn Ommer, Joachim M. Buhmann:
Learning Compositional Categorization Models. ECCV (3) 2006: 316-329 - 2005
- [c2]Björn Ommer, Joachim M. Buhmann:
Object Categorization by Compositional Graphical Models. EMMCVPR 2005: 235-250 - 2003
- [c1]Björn Ommer, Joachim M. Buhmann:
A Compositionally Architecture for Perceptual Feature Grouping. EMMCVPR 2003: 275-290
Coauthor Index
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