Mischa Dombrowski

According to our database, Mischa Dombrowski authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models.

Felix Nützel, Mischa Dombrowski, Bernhard Kainz

CoRR, July, 2025

Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models.

Mischa Dombrowski, Bernhard Kainz

CoRR, June, 2025

Video Dataset Condensation with Diffusion Models.

Zhe Li, Hadrien Reynaud, Mischa Dombrowski, Sarah Cechnicka, Franciskus Xaverius Erick, Bernhard Kainz

CoRR, May, 2025

Image Generation Diversity Issues and How to Tame Them.

Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Recurrent Inertial Graph-Based Estimator (RING): A Single Pluripotent Inertial Motion Tracking Solution.

Simon Bachhuber, Ive Weygers, Dustin Lehmann, Mischa Dombrowski, Thomas Seel

Trans. Mach. Learn. Res., 2024

Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification.

Mischa Dombrowski, Hadrien Reynaud, Bernhard Kainz

CoRR, 2024

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation.

Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Sarah Cechnicka, Qingjie Meng, Bernhard Kainz

CoRR, 2024

EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing.

Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability.

Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting.

Mischa Dombrowski, Bernhard Kainz

CoRR, 2023

Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models.

Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz

CoRR, 2023

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis.

Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas G. Day, Reza Razavi, Alberto Gómez, Paul Leeson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Confidence-Aware and Self-supervised Image Anomaly Localisation.

Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks.

Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models.

Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models.

Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz

CoRR, 2022

D'ARTAGNAN: Counterfactual Video Generation.

Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022