← Authors

Bjorn Ommer

60 papers · 2012–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (82) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (24) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ† Keyword Champion (5) πŸ† Grand Slam ❓ The Questioner πŸ“ˆ Trend Setter πŸ’Ž Century Club (60) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) ⚑ Prolific Year (13) πŸ—ƒοΈ Keyword Collector (253)

Conferences

CVPR (24) ICCV (13) ECCV (8) NIPS (7) AAAI (3) ICML (2) EACL (1) ICLR (1) WACV (1)

Top co-authors

Timo Milbich (12) Patrick Esser (10) Robin Rombach (9) Pingchuan Ma (9) Dmytro Kotovenko (8) Vincent Tao Hu (8) Ming Gui (7) Stefan Andreas Baumann (7) Andreas Blattmann (7) Artsiom Sanakoyeu (6)

Keywords

diffusion model (12) generative model (8) representation learning (7) image generation (7) image synthesis (6) metric learning (5) embedding space (5) unsupervised learning (5) self-supervised learning (4) flow matching (4) deep metric learning (4) video generation (3) part-based model (3) video prediction (3) convolutional neural network (3) similarity learning (3) image retrieval (3) attention mechanism (3) visual similarity (3) knowledge distillation (3)

Papers

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment CVPR 2025
Distillation of Diffusion Features for Semantic Correspondence WACV 2025
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching AAAI 2025
Does VLM Classification Benefit from LLM Description Semantics? AAAI 2025
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation AAAI 2025
What If: Understanding Motion Through Sparse Interactions ICCV 2025
Stochastic Interpolants for Revealing Stylistic Flows across the History of Art ICCV 2025
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models ICCV 2025
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions CVPR 2025
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis CVPR 2025
CleanDIFT: Diffusion Features without Noise CVPR 2025
TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training ICCV 2025
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians ECCV 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model ECCV 2024
Flow Matching for Conditional Text Generation in a Few Sampling Steps EACL 2024
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models ECCV 2024
FMBoost: Boosting Latent Diffusion with Flow Matching ECCV 2024
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation NIPS 2024
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning CVPR 2023
Retrieval-Augmented Diffusion Models NIPS 2022
High-Resolution Image Synthesis With Latent Diffusion Models CVPR 2022
Learning Multi-Scale Photo Exposure Correction CVPR 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis NIPS 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes CVPR 2021
Stochastic Image-to-Video Synthesis Using cINNs CVPR 2021
Understanding Object Dynamics for Interactive Image-to-Video Synthesis CVPR 2021
Behavior-Driven Synthesis of Human Dynamics CVPR 2021
Taming Transformers for High-Resolution Image Synthesis CVPR 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis ICCV 2021
Geometry-Free View Synthesis: Transformers and No 3D Priors ICCV 2021
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation ICCV 2021
Shape or Texture: Understanding Discriminative Features in CNNs ICLR 2021
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning ICML 2021
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning ICML 2020
Network-to-Network Translation with Conditional Invertible Neural Networks NIPS 2020
Unsupervised Magnification of Posture Deviations Across Subjects CVPR 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning ECCV 2020
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs ECCV 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations CVPR 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020
Unsupervised Part-Based Disentangling of Object Shape and Appearance CVPR 2019
Divide and Conquer the Embedding Space for Metric Learning CVPR 2019
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis ICCV 2019
Content and Style Disentanglement for Artistic Style Transfer ICCV 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning ICCV 2019
A Content Transformation Block for Image Style Transfer CVPR 2019
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning ECCV 2018
A Style-Aware Content Loss for Real-time HD Style Transfer ECCV 2018
A Variational U-Net for Conditional Appearance and Shape Generation CVPR 2018
Self-Supervised Learning of Pose Embeddings From Spatiotemporal Relations in Videos ICCV 2017
Deep Unsupervised Similarity Learning Using Partially Ordered Sets CVPR 2017
LSTM Self-Supervision for Detailed Behavior Analysis CVPR 2017
Deep Semantic Feature Matching CVPR 2017
Unsupervised Video Understanding by Reconciliation of Posture Similarities ICCV 2017
CliqueCNN: Deep Unsupervised Exemplar Learning NIPS 2016
Per-Sample Kernel Adaptation for Visual Recognition and Grouping ICCV 2015
Regularizing Max-Margin Exemplars by Reconstruction and Generative Models CVPR 2015
Randomized Max-Margin Compositions for Visual Recognition CVPR 2014
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012