Michal Drozdzal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
11
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Controlling Multimodal Llms Via Reward-Guided Decoding. | Oscar Maas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal |
| 2025 | ICLR | Boosting Latent Diffusion with Perceptual Objectives. | Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek |
| 2025 | ICLR | Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. | Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen |
| 2025 | ICML | Improving the Scaling Laws of Synthetic Data with Deliberate Practice. | Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano |
| 2024 | ECCV | Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance. | Reyhane Askari Hemmat, Melissa Hall, Alicia Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano |
| 2023 | ICLR | ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. | Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim |
| 2020 | MICCAI | Active MR k-space Sampling with Reinforcement Learning. | Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal |
| 2019 | CVPR | Inverse Cooking: Recipe Generation From Food Images. | Amaia Salvador, Michal Drozdzal, Xavier Gir-i-Nieto, Adriana Romero |
| 2019 | CVPR | Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. | Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal |
| 2018 | CVPR | On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. | Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio |
| 2017 | CVPR | The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. | Simon Jgou, Michal Drozdzal, David Vzquez, Adriana Romero, Yoshua Bengio |
| 2016 | CIARP | Deep Learning Features for Wireless Capsule Endoscopy Analysis. | Santi Segu, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitri |
| 2016 | MICCAI | The Importance of Skip Connections in Biomedical Image Segmentation. | Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal |
| 2014 | ICIP | Intestinal event segmentation for endoluminal video analysis. | Michal Drozdzal, Jordi Vitri, Santi Segu, Carolina Malagelada, Fernando Azpiroz, Petia Radeva |
| 2013 | MVA | A new image centrality descriptor for wrinkle frame detection in WCE videos. | Santi Segu, Ekaterina Zaytseva, Michal Drozdzal, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitri |
| 2012 | CIARP | Human Relative Position Detection Based on Mutual Occlusion. | Vctor Borjas, Michal Drozdzal, Petia Radeva, Jordi Vitri |
| 2012 | ICPRAM | An Integrated Approach to Contextual Face Detection. | Santi Segu, Michal Drozdzal, Petia Radeva, Jordi Vitri |
| 2011 | IBPRIA | Interactive Labeling of WCE Images. | Michal Drozdzal, Santi Segu, Carolina Malagelada, Fernando Azpiroz, Jordi Vitri, Petia Radeva |
| 2010 | CVPR | Aligning endoluminal scene sequences in wireless capsule endoscopy. | Michal Drozdzal, Laura Igual, Jordi Vitri, Carolina Malagelada, Fernando Azpiroz, Petia Radeva |