Björn Ommer
71 publications
11 venues
H Index 32
Affiliation
LMU Munich, GermanyHeidelberg University, Interdisciplinary Center for Scientific Computing, Germany
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment.
|
CVPR | 2025 | 18 |
| DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching.
|
AAAI | 2025 | 37 |
| Does VLM Classification Benefit from LLM Description Semantics?
|
AAAI | 2025 | 0 |
| CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation.
|
AAAI | 2025 | 0 |
| Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions.
|
CVPR | 2025 | 0 |
| Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis.
|
CVPR | 2025 | 0 |
| CleanDIFT: Diffusion Features without Noise.
|
CVPR | 2025 | 0 |
| Flow Matching for Conditional Text Generation in a Few Sampling Steps.
|
EACL | 2024 | 26 |
| Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation.
|
NIPS/NeurIPS | 2024 | 13 |
| CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models.
|
ECCV | 2024 | 9 |
| WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.
|
ECCV | 2024 | 6 |
| ZigMa: A DiT-style Zigzag Mamba Diffusion Model.
|
ECCV | 2024 | 115 |
| FMBoost: Boosting Latent Diffusion with Flow Matching.
|
ECCV | 2024 | 0 |
| Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
|
CVPR | 2023 | 8 |
| Retrieval-Augmented Diffusion Models.
|
NIPS/NeurIPS | 2022 | 200 |
| High-Resolution Image Synthesis with Latent Diffusion Models.
|
CVPR | 2022 | 0 |
| Improving Deep Metric Learning by Divide and Conquer.
|
TPAMI | 2022 | 0 |
| Sharing Matters for Generalization in Deep Metric Learning.
|
TPAMI | 2022 | 0 |
| Behavior-Driven Synthesis of Human Dynamics.
|
CVPR | 2021 | 16 |
| Understanding Object Dynamics for Interactive Image-to-Video Synthesis.
|
CVPR | 2021 | 46 |
| Geometry-Free View Synthesis: Transformers and no 3D Priors.
|
ICCV | 2021 | 112 |
| SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation.
|
ICCV | 2021 | 0 |
| ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis.
|
NIPS/NeurIPS | 2021 | 180 |
| Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes.
|
CVPR | 2021 | 75 |
| VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences.
|
ICRA | 2021 | 4 |
| Shape or Texture: Understanding Discriminative Features in CNNs.
|
ICLR | 2021 | 85 |
| Stochastic Image-to-Video Synthesis Using cINNs.
|
CVPR | 2021 | 64 |
| Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning.
|
NIPS/NeurIPS | 2021 | 24 |
| iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis.
|
ICCV | 2021 | 48 |
| Simultaneous Similarity-based Self-Distillation for Deep Metric Learning.
|
ICML | 2021 | 0 |
| Taming Transformers for High-Resolution Image Synthesis.
|
CVPR | 2021 | 0 |
| Learning Multi-Scale Photo Exposure Correction.
|
CVPR | 2021 | 0 |
| A Disentangling Invertible Interpretation Network for Explaining Latent Representations.
|
CVPR | 2020 | 91 |
| DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning.
|
ECCV | 2020 | 75 |
| PADS: Policy-Adapted Sampling for Visual Similarity Learning.
|
CVPR | 2020 | 52 |
| Network-to-Network Translation with Conditional Invertible Neural Networks.
|
NIPS/NeurIPS | 2020 | 0 |
| Unsupervised Magnification of Posture Deviations Across Subjects.
|
CVPR | 2020 | 15 |
| Revisiting Training Strategies and Generalization Performance in Deep Metric Learning.
|
ICML | 2020 | 187 |
| Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs.
|
ECCV | 2020 | 0 |
| Divide and Conquer the Embedding Space for Metric Learning.
|
CVPR | 2019 | 112 |
| MIC: Mining Interclass Characteristics for Improved Metric Learning.
|
ICCV | 2019 | 99 |
| Content and Style Disentanglement for Artistic Style Transfer.
|
ICCV | 2019 | 185 |
| Unsupervised Part-Based Disentangling of Object Shape and Appearance.
|
CVPR | 2019 | 159 |
| Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis.
|
ICCV | 2019 | 40 |
| A Content Transformation Block for Image Style Transfer.
|
CVPR | 2019 | 86 |
| Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning.
|
ECCV | 2018 | 120 |
| A Style-Aware Content Loss for Real-Time HD Style Transfer.
|
ECCV | 2018 | 225 |
| A Variational U-Net for Conditional Appearance and Shape Generation.
|
CVPR | 2018 | 440 |
| Deep Unsupervised Similarity Learning Using Partially Ordered Sets.
|
CVPR | 2017 | 28 |
| Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos.
|
ICCV | 2017 | 28 |
| Deep Semantic Feature Matching.
|
CVPR | 2017 | 84 |
| Unsupervised Video Understanding by Reconciliation of Posture Similarities.
|
ICCV | 2017 | 21 |
| LSTM Self-Supervision for Detailed Behavior Analysis.
|
CVPR | 2017 | 56 |
| CliqueCNN: Deep Unsupervised Exemplar Learning.
|
NIPS/NeurIPS | 2016 | 116 |
| Beyond the Sum of Parts: Voting with Groups of Dependent Entities.
|
TPAMI | 2015 | 1 |
| Per-Sample Kernel Adaptation for Visual Recognition and Grouping.
|
ICCV | 2015 | 4 |
| Regularizing max-margin exemplars by reconstruction and generative models.
|
CVPR | 2015 | 4 |
| Randomized Max-Margin Compositions for Visual Recognition.
|
CVPR | 2014 | 20 |
| Learning Latent Constituents for Recognition of Group Activities in Video.
|
ECCV | 2014 | 31 |
| Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching.
|
ACCV | 2012 | 0 |
| Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity.
|
NIPS/NeurIPS | 2012 | 9 |
| From Meaningful Contours to Discriminative Object Shape.
|
ECCV | 2012 | 23 |
| Robust Multiple-Instance Learning with Superbags.
|
ACCV | 2012 | 8 |
| Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping.
|
ECCV | 2012 | 22 |
| Video parsing for abnormality detection.
|
ICCV | 2011 | 167 |
| Learning the Compositional Nature of Visual Object Categories for Recognition.
|
TPAMI | 2010 | 83 |
| Efficient Clustering Earth Mover's Distance.
|
ACCV | 2010 | 8 |
| Voting by Grouping Dependent Parts.
|
ECCV | 2010 | 51 |
| Multi-scale object detection by clustering lines.
|
ICCV | 2009 | 95 |
| Learning the Compositional Nature of Visual Objects.
|
CVPR | 2007 | 64 |
| Learning Compositional Categorization Models.
|
ECCV | 2006 | 46 |