Björn Ommer

Orcid: 0000-0003-0766-120X

Affiliations:
  • LMU Munich, Germany
  • Heidelberg University, Interdisciplinary Center for Scientific Computing, Germany (former)


According to our database1, Björn Ommer authored at least 119 papers between 2003 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Quantum Denoising Diffusion Models.
CoRR, 2024

Flow Matching for Conditional Text Generation in a Few Sampling Steps.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Motion Flow Matching for Human Motion Synthesis and Editing.
CoRR, 2023

Guided Diffusion from Self-Supervised Diffusion Features.
CoRR, 2023

Boosting Latent Diffusion with Flow Matching.
CoRR, 2023

State of the Art on Diffusion Models for Visual Computing.
CoRR, 2023

SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Improving Deep Metric Learning by Divide and Conquer.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Sharing Matters for Generalization in Deep Metric Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models.
CoRR, 2022

Retrieval-Augmented Diffusion Models.
CoRR, 2022

Retrieval-Augmented Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ArtFID: Quantitative Evaluation of Neural Style Transfer.
Proceedings of the Pattern Recognition, 2022

High-Resolution Image Synthesis with Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Maximizing Mutual Shape Information.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Unsupervised behaviour analysis and magnification (uBAM) using deep learning.
Nat. Mach. Intell., 2021

Transforming Information Into Knowledge: How Computational Methods Reshape Art History.
Digit. Humanit. Q., 2021

High-Resolution Complex Scene Synthesis with Transformers.
CoRR, 2021

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Simultaneous Similarity-based Self-Distillation for Deep Metric Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Shape or Texture: Understanding Discriminative Features in CNNs.
Proceedings of the 9th International Conference on Learning Representations, 2021

Geometry-Free View Synthesis: Transformers and no 3D Priors.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Taming Transformers for High-Resolution Image Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Stochastic Image-to-Video Synthesis Using cINNs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Behavior-Driven Synthesis of Human Dynamics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Understanding Object Dynamics for Interactive Image-to-Video Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Multi-Scale Photo Exposure Correction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised View-Invariant Human Posture Representation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Unsupervised representation learning by discovering reliable image relations.
Pattern Recognit., 2020

uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning.
CoRR, 2020

A Note on Data Biases in Generative Models.
CoRR, 2020

S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning.
CoRR, 2020

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs.
CoRR, 2020

Network Fusion for Content Creation with Conditional INNs.
CoRR, 2020

Learning to Correct Overexposed and Underexposed Photos.
CoRR, 2020

Network-to-Network Translation with Conditional Invertible Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs.
Proceedings of the Computer Vision - ECCV 2020, 2020

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Unsupervised Part Discovery by Unsupervised Disentanglement.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

PADS: Policy-Adapted Sampling for Visual Similarity Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Disentangling Invertible Interpretation Network for Explaining Latent Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Magnification of Posture Deviations Across Subjects.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multi-Scale Convolutions for Learning Context Aware Feature Representations.
CoRR, 2019

Content and Style Disentanglement for Artistic Style Transfer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MIC: Mining Interclass Characteristics for Improved Metric Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation.
Proceedings of the Pattern Recognition, 2019

Divide and Conquer the Embedding Space for Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Part-Based Disentangling of Object Shape and Appearance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Content Transformation Block for Image Style Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep unsupervised learning of visual similarities.
Pattern Recognit., 2018

Attesting similarity: Supporting the organization and study of art image collections with computer vision.
Digit. Scholarsh. Humanit., 2018

Learning to Forecast Pedestrian Intention from Pose Dynamics.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Style-Aware Content Loss for Real-Time HD Style Transfer.
Proceedings of the Computer Vision - ECCV 2018, 2018

Reflecting on How Artworks Are Processed and Analyzed by Computer Vision.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Towards Learning a Realistic Rendering of Human Behavior.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning.
Proceedings of the Computer Vision - ECCV 2018, 2018

Urban Art in a Digital Context: A Computer-Based Evaluation of Street Art and Graffiti Writing.
Proceedings of the 13th Annual International Conference of the Alliance of Digital Humanities Organizations, 2018

Beyond Image Search: Computer Vision in Western Art History.
Proceedings of the 13th Annual International Conference of the Alliance of Digital Humanities Organizations, 2018

Der ferne Blick. Bildkorpora und Computer Vision in den Geistes- und Kulturwissenschaften - Stand - Visionen - Implikationen.
Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

Cross and Learn: Cross-Modal Self-supervision.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

X-GAN: Improving Generative Adversarial Networks with ConveX Combinations.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

A Variational U-Net for Conditional Appearance and Shape Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Unsupervised Video Understanding by Reconciliation of Posture Similarities.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Where to Drive by Watching Others.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Deep Semantic Feature Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

LSTM Self-Supervision for Detailed Behavior Analysis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Unsupervised Similarity Learning Using Partially Ordered Sets.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
CliqueCNN: Deep Unsupervised Exemplar Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Generative regularization with latent topics for discriminative object recognition.
Pattern Recognit., 2015

Beyond the Sum of Parts: Voting with Groups of Dependent Entities.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Spatio-temporal Video Parsing for Abnormality Detection.
CoRR, 2015

Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Per-Sample Kernel Adaptation for Visual Recognition and Grouping.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Regularizing max-margin exemplars by reconstruction and generative models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Morphological analysis for investigating artistic images.
Image Vis. Comput., 2014

Offline learning of prototypical negatives for efficient online Exemplar SVM.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

An Approach to Large Scale Interactive Retrieval of Cultural Heritage.
Proceedings of the 12th Eurographics Workshop on Graphics and Cultural Heritage, 2014

Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Learning Latent Constituents for Recognition of Group Activities in Video.
Proceedings of the Computer Vision - ECCV 2014, 2014

Randomized Max-Margin Compositions for Visual Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Less Is More: Video Trimming for Action Recognition.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

The Role of Shape in Visual Recognition.
Proceedings of the Shape Perception in Human and Computer Vision, 2013

2012
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

From Meaningful Contours to Discriminative Object Shape.
Proceedings of the Computer Vision - ECCV 2012, 2012

Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping.
Proceedings of the Computer Vision - ECCV 2012, 2012

Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Learning Discriminative Chamfer Regularization.
Proceedings of the British Machine Vision Conference, 2012

Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching.
Proceedings of the Computer Vision - ACCV 2012, 2012

Robust Multiple-Instance Learning with Superbags.
Proceedings of the Computer Vision, 2012

2011
Detecting gestures in medieval images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Beyond straight lines - Object detection using curvature.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Reconstructing the drawing process of reproductions from medieval images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Video parsing for abnormality detection.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Top-down analysis of low-level object relatedness leading to semantic understanding of medieval image collections.
Proceedings of the Computer Vision and Image Analysis of Art II, San Francisco Airport, 2011

Contour-based object detection.
Proceedings of the British Machine Vision Conference, 2011

2010
Learning the Compositional Nature of Visual Object Categories for Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Voting by Grouping Dependent Parts.
Proceedings of the Computer Vision - ECCV 2010, 2010

Recognition and Analysis of Objects in Medieval Images.
Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

Efficient Clustering Earth Mover's Distance.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera.
Int. J. Comput. Vis., 2009

Multi-scale object detection by clustering lines.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2007
Learning the Compositional Nature of Objects for Visual Recognition.
PhD thesis, 2007

Compositional Object Recognition, Segmentation, and Tracking in Video.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Learning the Compositional Nature of Visual Objects.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Learning Compositional Categorization Models.
Proceedings of the Computer Vision, 2006

Exploiting Low-Level Image Segmentation for Object Recognition.
Proceedings of the Pattern Recognition, 2006

Learning Top-Down Grouping of Compositional Hierarchies for Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Object Categorization by Compositional Graphical Models.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2003
A Compositionally Architecture for Perceptual Feature Grouping.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003


  Loading...