Björn Ommer - RankMe

204 papers A* 48A 6B 4Journal 96Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? KDD (1) Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji
2026	J	`jnl`	FlowTouch: View-Invariant Visuo-Tactile Prediction. CoRR Seongjin Bien, Carlo Kneissl, Tobias Jülg, Frank Fundel, Thomas Ressler-Antal, Florian Walter, Björn Ommer, Gitta Kutyniok, Wolfram Burgard
2026	J	`jnl`	Guiding Token-Sparse Diffusion Models. CoRR Felix Krause, Stefan Andreas Baumann, Johannes Schusterbauer, Olga Grebenkova, Ming Gui, Vincent Tao Hu, Björn Ommer
2025	J	`jnl`	ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment. Trans. Mach. Learn. Res. Amir Aghdam, Vincent Tao Hu, Björn Ommer
2025	J	`jnl`	Adapting Self-Supervised Representations as a Latent Space for Efficient Generation. CoRR Ming Gui, Johannes Schusterbauer, Timy Phan, Felix Krause, Josh M. Susskind, Miguel Ángel Bautista, Björn Ommer
2025	A*	`conf`	CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation. AAAI Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro
2025	J	`jnl`	Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? CoRR Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji
2025	A*	`conf`	CleanDIFT: Diffusion Features without Noise. CVPR Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer
2025	A*	`conf`	Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions. CVPR Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Melvin Sevi, Vincent Tao Hu, Björn Ommer
2025	A*	`conf`	DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching. AAAI Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2025	A*	`conf`	Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment. CVPR Johannes Schusterbauer, Ming Gui, Frank Fundel, Björn Ommer
2025	J	`jnl`	Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment. CoRR Johannes Schusterbauer, Ming Gui, Frank Fundel, Björn Ommer
2025	J	`jnl`	Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics. CoRR Yitong Li, Ralph Buchert, Benita Schmitz-Koep, Timo Grimmer, Björn Ommer, Dennis M. Hedderich, Igor Yakushev, Christian Wachinger
2025	J	`jnl`	DisMo: Disentangled Motion Representations for Open-World Motion Transfer. CoRR Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya, Stefan Andreas Baumann, Felix Krause, Ming Gui, Björn Ommer
2025	A	`conf`	Distillation of Diffusion Features for Semantic Correspondence. WACV Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer
2025	A*	`conf`	Does VLM Classification Benefit from LLM Description Semantics? AAAI Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer
2025	J	`jnl`	EDGS: Eliminating Densification for Efficient Convergence of 3DGS. CoRR Dmytro Kotovenko, Olga Grebenkova, Björn Ommer
2025	A*	`conf`	Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. CVPR Yousef Yeganeh, Azade Farshad, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Björn Ommer, Nassir Navab, Ehsan Adeli
2025	J	`jnl`	MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation. CoRR Michael Fuest, Vincent Tao Hu, Björn Ommer
2025	J	`jnl`	On the Challenges and Opportunities in Generative AI. Trans. Mach. Learn. Res. 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 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
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part I GCPR (1) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part II GCPR (2) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	J	`jnl`	Purrception: Variational Flow Matching for Vector-Quantized Image Generation. CoRR Razvan-Andrei Matisan, Vincent Tao Hu, Grigory Bartosh, Björn Ommer, Cees G. M. Snoek, Max Welling, Jan-Willem van de Meent, Mohammad Mahdi Derakhshani, Floor Eijkelboom
2025	J	`jnl`	SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models. CoRR Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Björn Ommer
2025	J	`jnl`	TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training. CoRR Felix Krause, Timy Phan, Vincent Tao Hu, Björn Ommer
2025	J	`jnl`	What If : Understanding Motion Through Sparse Interactions. CoRR Stefan Andreas Baumann, Nick Stracke, Timy Phan, Björn Ommer
2024	J	`jnl`	CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models. CoRR Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer
2024	—	`conf`	CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models. ECCV (88) Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Ángel Bautista, Björn Ommer
2024	J	`jnl`	CleanDIFT: Diffusion Features without Noise. CoRR Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer
2024	J	`jnl`	Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions. CoRR Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, Björn Ommer
2024	J	`jnl`	DepthFM: Fast Monocular Depth Estimation with Flow Matching. CoRR Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2024	J	`jnl`	Diffusion Models and Representation Learning: A Survey. CoRR Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer
2024	J	`jnl`	Distillation of Diffusion Features for Semantic Correspondence. CoRR Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer
2024	J	`jnl`	Does VLM Classification Benefit from LLM Description Semantics? CoRR Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer
2024	J	`jnl`	Enabling Visual Composition and Animation in Unsupervised Video Generation. CoRR Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro
2024	—	`conf`	FMBoost: Boosting Latent Diffusion with Flow Matching. ECCV (61) Johannes Schusterbauer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
2024	—	`conf`	Flow Matching for Conditional Text Generation in a Few Sampling Steps. EACL (2) Vincent Tao Hu, Di Wu, Yuki Markus Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees Snoek
2024	J	`jnl`	Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. CoRR Yousef Yeganeh, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Björn Ommer, Nassir Navab, Azade Farshad, Ehsan Adeli
2024	J	`jnl`	On the Challenges and Opportunities in Generative AI. CoRR 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
2024	—	`conf`	Quantum Denoising Diffusion Models. QSW Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien
2024	J	`jnl`	Quantum Denoising Diffusion Models. CoRR Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien
2024	J	`jnl`	Scaling Image Tokenizers with Grouped Spherical Quantization. CoRR Jiangtao Wang, Zhen Qin, Yifan Zhang, Vincent Tao Hu, Björn Ommer, Rania Briq, Stefan Kesselheim
2024	A*	`conf`	Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. NeurIPS Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger
2024	J	`jnl`	Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. CoRR Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger
2024	J	`jnl`	State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 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
2024	—	`conf`	WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. ECCV (21) Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer
2024	J	`jnl`	WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. CoRR Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer
2024	—	`conf`	ZigMa: A DiT-style Zigzag Mamba Diffusion Model. ECCV (21) Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
2024	J	`jnl`	ZigMa: A DiT-style Zigzag Mamba Diffusion Model. CoRR Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
2024	J	`jnl`	[MASK] is All You Need. CoRR Vincent Tao Hu, Björn Ommer
2023	J	`jnl`	Boosting Latent Diffusion with Flow Matching. CoRR Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Björn Ommer
2023	A*	`conf`	Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. CVPR Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer
2023	J	`jnl`	Guided Diffusion from Self-Supervised Diffusion Features. CoRR Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer
2023	J	`jnl`	Motion Flow Matching for Human Motion Synthesis and Editing. CoRR Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek
2023	—	`conf`	SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. ICCV (Workshops) Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab
2023	J	`jnl`	SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. CoRR Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab
2023	J	`jnl`	State of the Art on Diffusion Models for Visual Computing. CoRR 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
2022	—	`conf`	ArtFID: Quantitative Evaluation of Neural Style Transfer. GCPR Matthias Wright, Björn Ommer
2022	J	`jnl`	ArtFID: Quantitative Evaluation of Neural Style Transfer. CoRR Matthias Wright, Björn Ommer
2022	A*	`conf`	High-Resolution Image Synthesis with Latent Diffusion Models. CVPR Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
2022	J	`jnl`	Improving Deep Metric Learning by Divide and Conquer. IEEE Trans. Pattern Anal. Mach. Intell. Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
2022	A	`conf`	Maximizing Mutual Shape Information. BMVC Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
2022	A*	`conf`	Retrieval-Augmented Diffusion Models. NeurIPS Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer
2022	J	`jnl`	Retrieval-Augmented Diffusion Models. CoRR Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer
2022	J	`jnl`	Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
2022	J	`jnl`	Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models. CoRR Robin Rombach, Andreas Blattmann, Björn Ommer
2021	A*	`conf`	Behavior-Driven Synthesis of Human Dynamics. CVPR Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
2021	J	`jnl`	Behavior-Driven Synthesis of Human Dynamics. CoRR Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
2021	A*	`conf`	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. NeurIPS Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
2021	J	`jnl`	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
2021	A*	`conf`	Geometry-Free View Synthesis: Transformers and no 3D Priors. ICCV Robin Rombach, Patrick Esser, Björn Ommer
2021	J	`jnl`	Geometry-Free View Synthesis: Transformers and no 3D Priors. CoRR Robin Rombach, Patrick Esser, Björn Ommer
2021	J	`jnl`	High-Resolution Complex Scene Synthesis with Transformers. CoRR Manuel Jahn, Robin Rombach, Björn Ommer
2021	J	`jnl`	High-Resolution Image Synthesis with Latent Diffusion Models. CoRR Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
2021	A*	`conf`	ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. NeurIPS Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
2021	J	`jnl`	ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. CoRR Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
2021	J	`jnl`	Improving Deep Metric Learning by Divide and Conquer. CoRR Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
2021	A*	`conf`	Learning Multi-Scale Photo Exposure Correction. CVPR Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown
2021	J	`jnl`	Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting. CoRR Nikolai Ufer, Sabine Lang, Björn Ommer
2021	A*	`conf`	Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. CVPR Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer
2021	J	`jnl`	Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. CoRR Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer
2021	A*	`conf`	SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. ICCV Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger
2021	A*	`conf`	Shape or Texture: Understanding Discriminative Features in CNNs. ICLR Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
2021	J	`jnl`	Shape or Texture: Understanding Discriminative Features in CNNs. CoRR Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
2021	A*	`conf`	Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. ICML Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
2021	A*	`conf`	Stochastic Image-to-Video Synthesis Using cINNs. CVPR Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
2021	J	`jnl`	Stochastic Image-to-Video Synthesis using cINNs. CoRR Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
2021	A*	`conf`	Taming Transformers for High-Resolution Image Synthesis. CVPR Patrick Esser, Robin Rombach, Björn Ommer
2021	J	`jnl`	Transforming Information Into Knowledge: How Computational Methods Reshape Art History. Digit. Humanit. Q. Sabine Lang, Björn Ommer
2021	A*	`conf`	Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CVPR Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
2021	J	`jnl`	Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CoRR Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
2021	A	`conf`	Unsupervised View-Invariant Human Posture Representation. BMVC Faegheh Sardari, Björn Ommer, Majid Mirmehdi
2021	J	`jnl`	Unsupervised View-Invariant Human Posture Representation. CoRR Faegheh Sardari, Björn Ommer, Majid Mirmehdi
2021	J	`jnl`	Unsupervised behaviour analysis and magnification (uBAM) using deep learning. Nat. Mach. Intell. Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
2021	A*	`conf`	VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. ICRA David Emmerichs, Peter Pinggera, Björn Ommer
2021	A*	`conf`	iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. ICCV Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
2021	J	`jnl`	iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. CoRR Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer
2020	J	`jnl`	A Content Transformation Block For Image Style Transfer. CoRR Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
2020	A*	`conf`	A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CVPR Patrick Esser, Robin Rombach, Björn Ommer
2020	J	`jnl`	A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CoRR Patrick Esser, Robin Rombach, Björn Ommer
2020	J	`jnl`	A Note on Data Biases in Generative Models. CoRR Patrick Esser, Robin Rombach, Björn Ommer
2020	—	`conf`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Learning to Correct Overexposed and Underexposed Photos. CoRR Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown
2020	J	`jnl`	Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. CoRR Robin Rombach, Patrick Esser, Björn Ommer
2020	—	`conf`	Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. ECCV (17) Robin Rombach, Patrick Esser, Björn Ommer
2020	J	`jnl`	Network Fusion for Content Creation with Conditional INNs. CoRR Robin Rombach, Patrick Esser, Björn Ommer
2020	A*	`conf`	Network-to-Network Translation with Conditional Invertible Neural Networks. NeurIPS Robin Rombach, Patrick Esser, Björn Ommer
2020	—	`conf`	Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting. ECCV Workshops (2) Nikolai Ufer, Sabine Lang, Björn Ommer
2020	A*	`conf`	PADS: Policy-Adapted Sampling for Visual Similarity Learning. CVPR Karsten Roth, Timo Milbich, Björn Ommer
2020	J	`jnl`	PADS: Policy-Adapted Sampling for Visual Similarity Learning. CoRR Karsten Roth, Timo Milbich, Björn Ommer
2020	A*	`conf`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. CoRR Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
2020	J	`jnl`	Sharing Matters for Generalization in Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
2020	J	`jnl`	Taming Transformers for High-Resolution Image Synthesis. CoRR Patrick Esser, Robin Rombach, Björn Ommer
2020	A*	`conf`	Unsupervised Magnification of Posture Deviations Across Subjects. CVPR Michael Dorkenwald, Uta Büchler, Björn Ommer
2020	—	`conf`	Unsupervised Part Discovery by Unsupervised Disentanglement. GCPR Sandro Braun, Patrick Esser, Björn Ommer
2020	J	`jnl`	Unsupervised Part Discovery by Unsupervised Disentanglement. CoRR Sandro Braun, Patrick Esser, Björn Ommer
2020	J	`jnl`	Unsupervised representation learning by discovering reliable image relations. Pattern Recognit. Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer
2020	J	`jnl`	uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. CoRR Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
2019	A*	`conf`	A Content Transformation Block for Image Style Transfer. CVPR Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
2019	A*	`conf`	Content and Style Disentanglement for Artistic Style Transfer. ICCV Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer
2019	A*	`conf`	Divide and Conquer the Embedding Space for Metric Learning. CVPR Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
2019	J	`jnl`	Divide and Conquer the Embedding Space for Metric Learning. CoRR Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
2019	A*	`conf`	MIC: Mining Interclass Characteristics for Improved Metric Learning. ICCV Biagio Brattoli, Karsten Roth, Björn Ommer
2019	J	`jnl`	MIC: Mining Interclass Characteristics for Improved Metric Learning. CoRR Karsten Roth, Biagio Brattoli, Björn Ommer
2019	J	`jnl`	Multi-Scale Convolutions for Learning Context Aware Feature Representations. CoRR Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer
2019	A*	`conf`	Unsupervised Part-Based Disentangling of Object Shape and Appearance. CVPR Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
2019	J	`jnl`	Unsupervised Part-Based Disentangling of Object Shape and Appearance. CoRR Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
2019	J	`jnl`	Unsupervised Representation Learning by Discovering Reliable Image Relations. CoRR Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer
2019	A*	`conf`	Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. ICCV Patrick Esser, Johannes Haux, Björn Ommer
2019	J	`jnl`	Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. CoRR Patrick Esser, Johannes Haux, Björn Ommer
2019	—	`conf`	Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation. GCPR Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer
2018	—	`conf`	A Style-Aware Content Loss for Real-Time HD Style Transfer. ECCV (8) Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer
2018	J	`jnl`	A Style-Aware Content Loss for Real-time HD Style Transfer. CoRR Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer
2018	A*	`conf`	A Variational U-Net for Conditional Appearance and Shape Generation. CVPR Patrick Esser, Ekaterina Sutter, Björn Ommer
2018	J	`jnl`	A Variational U-Net for Conditional Appearance and Shape Generation. CoRR Patrick Esser, Ekaterina Sutter, Björn Ommer
2018	J	`jnl`	Attesting similarity: Supporting the organization and study of art image collections with computer vision. Digit. Scholarsh. Humanit. Sabine Lang, Björn Ommer
2018	—	`conf`	Beyond Image Search: Computer Vision in Western Art History. DH Leonardo Laurence Impett, Peter Bell, Benoit Seguin, Björn Ommer
2018	J	`jnl`	Cross and Learn: Cross-Modal Self-Supervision. CoRR Nawid Sayed, Biagio Brattoli, Björn Ommer
2018	—	`conf`	Cross and Learn: Cross-Modal Self-supervision. GCPR Nawid Sayed, Biagio Brattoli, Björn Ommer
2018	J	`jnl`	Deep Unsupervised Learning of Visual Similarities. CoRR Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
2018	J	`jnl`	Deep unsupervised learning of visual similarities. Pattern Recognit. Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
2018	—	`conf`	Der ferne Blick. Bildkorpora und Computer Vision in den Geistes- und Kulturwissenschaften - Stand - Visionen - Implikationen. DHd Simon Donig, Siegfried Handschuh, Erik Radisch, Malte Rehbein, Canan Hastik, Hubertus Kohle, Björn Ommer
2018	J	`jnl`	Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. CoRR Uta Büchler, Biagio Brattoli, Björn Ommer
2018	—	`conf`	Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. ECCV (15) Uta Büchler, Biagio Brattoli, Björn Ommer
2018	B	`conf`	Learning to Forecast Pedestrian Intention from Pose Dynamics. Intelligent Vehicles Symposium Omair Ghori, Radek Mackowiak, Miguel Ángel Bautista, Niklas Beuter, Lucas Drumond, Ferran Diego, Björn Ommer
2018	—	`conf`	Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. ECCV Workshops (2) Sabine Lang, Björn Ommer
2018	—	`conf`	Towards Learning a Realistic Rendering of Human Behavior. ECCV Workshops (2) Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer
2018	—	`conf`	Urban Art in a Digital Context: A Computer-Based Evaluation of Street Art and Graffiti Writing. DH Sabine Lang, Björn Ommer
2018	—	`conf`	X-GAN: Improving Generative Adversarial Networks with ConveX Combinations. GCPR Oliver Blum, Biagio Brattoli, Björn Ommer
2017	A*	`conf`	Deep Semantic Feature Matching. CVPR Nikolai Ufer, Björn Ommer
2017	A*	`conf`	Deep Unsupervised Similarity Learning Using Partially Ordered Sets. CVPR Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
2017	J	`jnl`	Deep Unsupervised Similarity Learning using Partially Ordered Sets. CoRR Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
2017	A*	`conf`	LSTM Self-Supervision for Detailed Behavior Analysis. CVPR Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer
2017	—	`conf`	Learning Where to Drive by Watching Others. GCPR Miguel Ángel Bautista, Patrick Fuchs, Björn Ommer
2017	A*	`conf`	Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. ICCV Ömer Sümer, Tobias Dencker, Björn Ommer
2017	J	`jnl`	Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. CoRR Ömer Sümer, Tobias Dencker, Björn Ommer
2017	A*	`conf`	Unsupervised Video Understanding by Reconciliation of Posture Similarities. ICCV Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer
2017	J	`jnl`	Unsupervised Video Understanding by Reconciliation of Posture Similarities. CoRR Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer
2016	—	`conf`	CliqueCNN: Deep Unsupervised Exemplar Learning. NIPS Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer
2016	J	`jnl`	CliqueCNN: Deep Unsupervised Exemplar Learning. CoRR Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Sutter, Björn Ommer
2015	J	`jnl`	Beyond the Sum of Parts: Voting with Groups of Dependent Entities. IEEE Trans. Pattern Anal. Mach. Intell. Pradeep Yarlagadda, Björn Ommer
2015	J	`jnl`	Generative regularization with latent topics for discriminative object recognition. Pattern Recognit. José C. Rubio, Angela Eigenstetter, Björn Ommer
2015	A*	`conf`	Per-Sample Kernel Adaptation for Visual Recognition and Grouping. ICCV Borislav Antic, Björn Ommer
2015	A*	`conf`	Regularizing max-margin exemplars by reconstruction and generative models. CVPR José C. Rubio, Björn Ommer
2015	J	`jnl`	Spatio-temporal Video Parsing for Abnormality Detection. CoRR Borislav Antic, Björn Ommer
2015	—	`conf`	Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery. MICCAI (3) Borislav Antic, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer
2014	—	`conf`	An Approach to Large Scale Interactive Retrieval of Cultural Heritage. GCH Masato Takami, Peter Bell, Björn Ommer
2014	—	`conf`	Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. MICCAI (2) Melih Kandemir, José C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Björn Ommer, Fred A. Hamprecht
2014	—	`conf`	Learning Latent Constituents for Recognition of Group Activities in Video. ECCV (1) Borislav Antic, Björn Ommer
2014	J	`jnl`	Morphological analysis for investigating artistic images. Image Vis. Comput. Antonio Monroy, Peter Bell, Björn Ommer
2014	A	`conf`	Offline learning of prototypical negatives for efficient online Exemplar SVM. WACV Masato Takami, Peter Bell, Björn Ommer
2014	A*	`conf`	Randomized Max-Margin Compositions for Visual Recognition. CVPR Angela Eigenstetter, Masato Takami, Björn Ommer
2013	—	`conf`	Less Is More: Video Trimming for Action Recognition. ICCV Workshops Borislav Antic, Timo Milbich, Björn Ommer
2013	—	`ch.`	The Role of Shape in Visual Recognition. Shape Perception in Human and Computer Vision Björn Ommer
2012	—	`conf`	Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping. ECCV (3) Antonio Monroy, Björn Ommer
2012	—	`conf`	From Meaningful Contours to Discriminative Object Shape. ECCV (1) Pradeep Yarlagadda, Björn Ommer
2012	A	`conf`	Learning Discriminative Chamfer Regularization. BMVC Pradeep Yarlagadda, Angela Eigenstetter, Björn Ommer
2012	—	`conf`	Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching. ACCV (1) Angela Eigenstetter, Pradeep Krishna Yarlagadda, Björn Ommer
2012	—	`conf`	Robust Multiple-Instance Learning with Superbags. ACCV (2) Borislav Antic, Björn Ommer
2012	—	`conf`	Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions. ECCV Workshops (1) Juan Antonio Monroy Kuhn, Peter Bell, Björn Ommer
2012	—	`conf`	Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity. NIPS Angela Eigenstetter, Björn Ommer
2011	B	`conf`	Beyond straight lines - Object detection using curvature. ICIP Antonio Monroy, Angela Eigenstetter, Björn Ommer
2011	A	`conf`	Contour-based object detection. BMVC Joseph Schlecht, Björn Ommer
2011	B	`conf`	Detecting gestures in medieval images. ICIP Joseph Schlecht, Bernd Carqué, Björn Ommer
2011	B	`conf`	Reconstructing the drawing process of reproductions from medieval images. ICIP Antonio Monroy, Bernd Carqué, Björn Ommer
2011	—	`conf`	Top-down analysis of low-level object relatedness leading to semantic understanding of medieval image collections. Computer Vision and Image Analysis of Art Pradeep Yarlagadda, Antonio Monroy, Bernd Carqué, Björn Ommer
2011	A*	`conf`	Video parsing for abnormality detection. ICCV Borislav Antic, Björn Ommer
2010	—	`conf`	Efficient Clustering Earth Mover's Distance. ACCV (2) Jenny Wagner, Björn Ommer
2010	J	`jnl`	Learning the Compositional Nature of Visual Object Categories for Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Björn Ommer, Joachim M. Buhmann
2010	—	`conf`	Recognition and Analysis of Objects in Medieval Images. ACCV Workshops (2) Pradeep Yarlagadda, Antonio Monroy, Bernd Carqué, Björn Ommer
2010	—	`conf`	Voting by Grouping Dependent Parts. ECCV (5) Pradeep Yarlagadda, Antonio Monroy, Björn Ommer
2009	A*	`conf`	Multi-scale object detection by clustering lines. ICCV Björn Ommer, Jitendra Malik
2009	J	`jnl`	Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera. Int. J. Comput. Vis. Björn Ommer, Theodor Mader, Joachim M. Buhmann
2007	—	`conf`	Compositional Object Recognition, Segmentation, and Tracking in Video. EMMCVPR Björn Ommer, Joachim M. Buhmann
2007	—	`—`	Learning the Compositional Nature of Objects for Visual Recognition. Björn Ommer
2007	A*	`conf`	Learning the Compositional Nature of Visual Objects. CVPR Björn Ommer, Joachim M. Buhmann
2006	—	`conf`	Exploiting Low-Level Image Segmentation for Object Recognition. DAGM-Symposium Volker Roth, Björn Ommer
2006	—	`conf`	Learning Compositional Categorization Models. ECCV (3) Björn Ommer, Joachim M. Buhmann
2006	—	`conf`	Learning Top-Down Grouping of Compositional Hierarchies for Recognition. CVPR Workshops Björn Ommer, Michael Sauter, Joachim M. Buhmann
2005	—	`conf`	Object Categorization by Compositional Graphical Models. EMMCVPR Björn Ommer, Joachim M. Buhmann
2003	—	`conf`	A Compositionally Architecture for Perceptual Feature Grouping. EMMCVPR Björn Ommer, Joachim M. Buhmann