Michal Drozdzal

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 58

Top Topics

Iterative Refinement

Image Segmentation

Top Venues

Medical Image Anal.

Comput. Biol. Medicine

Publications

Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. Trans. Mach. Learn. Res. 2024 (2024)
Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
Improving Text-to-Image Consistency via Automatic Prompt Optimization. CoRR (2024)
Jiaqiang Ye Zhu, Carla Gomez Cano, David Vázquez Bermudez, Michal Drozdzal
InCoRo: In-Context Learning for Robotics Control with Feedback Loops. CoRR (2024)
Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. CoRR (2024)
Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. FAccT (2024)
Reyhane Askari Hemmat, Melissa Hall, Alicia Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance. CoRR (2024)
Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
Consistency-diversity-realism Pareto fronts of conditional image generative models. CoRR (2024)
Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
Feedback-guided Data Synthesis for Imbalanced Classification. CoRR (2023)
Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. CoRR (2023)
Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Improved baselines for vision-language pre-training. CoRR (2023)
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. ICLR (2023)
Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. 2023 (2023)
Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal
Controllable Image Generation via Collage Representations. CoRR (2023)
Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal
Instance-Conditioned GAN Data Augmentation for Representation Learning. CoRR (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano
Learning to Substitute Ingredients in Recipes. CoRR (2023)
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. MIDL (2022)
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. CoRR (2022)
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. CoRR (2022)
Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR (2022)
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
Parameter Prediction for Unseen Deep Architectures. CoRR (2021)
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
Parameter Prediction for Unseen Deep Architectures. NeurIPS (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. NeurIPS (2021)
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
Instance-Conditioned GAN. CoRR (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. CoRR (2021)
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
Instance-Conditioned GAN. NeurIPS (2021)
David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. MIDL (2020)
Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano
Generating unseen complex scenes: are we there yet? CoRR (2020)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. NeurIPS (2020)
David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. CoRR (2020)
Terrance DeVries, Michal Drozdzal, Graham W. Taylor
Instance Selection for GANs. NeurIPS (2020)
Terrance DeVries, Michal Drozdzal, Graham W. Taylor
Instance Selection for GANs. CoRR (2020)
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
Active MR k-space Sampling with Reinforcement Learning. CoRR (2020)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. CoRR (2020)
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) (2020)
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR (2019)
Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal
Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR (2019)
Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal
On the Evaluation of Conditional GANs. CoRR (2019)
Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero
Elucidating image-to-set prediction: An analysis of models, losses and datasets. CoRR (2019)
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR (2019)
Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero
Inverse Cooking: Recipe Generation From Food Images. CVPR (2019)
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). CoRR (2019)
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR (2018)
Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio
On the iterative refinement of densely connected representation levels for semantic segmentation. CoRR (2018)
Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio
On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. CVPR Workshops (2018)
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. 44 (2018)
Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero
Inverse Cooking: Recipe Generation from Food Images. CoRR (2018)
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville
Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR (2017)
Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CVPR Workshops (2017)
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. CoRR (2017)
Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio
Image Segmentation by Iterative Inference from Conditional Score Estimation. CoRR (2017)
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal
The Importance of Skip Connections in Biomedical Image Segmentation. CoRR (2016)
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Generic Feature Learning for Wireless Capsule Endoscopy Analysis. CoRR (2016)
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Generic feature learning for wireless capsule endoscopy analysis. Comput. Biol. Medicine 79 (2016)
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal
The Importance of Skip Connections in Biomedical Image Segmentation. LABELS/DLMIA@MICCAI (2016)
David Vázquez, Jorge Bernal, Francisco Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron C. Courville
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. CoRR (2016)
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Deep Learning Features for Wireless Capsule Endoscopy Analysis. CIARP (2016)
Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CoRR (2016)
Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Motility bar: A new tool for motility analysis of endoluminal videos. Comput. Biol. Medicine 65 (2015)
Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
Intestinal event segmentation for endoluminal video analysis. ICIP (2014)
Santi Seguí, Michal Drozdzal, Ekaterina Zaytseva, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
Detection of Wrinkle Frames in Endoluminal Videos Using Betweenness Centrality Measures for Images. IEEE J. Biomed. Health Informatics 18 (6) (2014)
Michal Drozdzal, Santi Seguí, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
Adaptable image cuts for motility inspection using WCE. Comput. Medical Imaging Graph. 37 (1) (2013)
Santi Seguí, Ekaterina Zaytseva, Michal Drozdzal, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
A new image centrality descriptor for wrinkle frame detection in WCE videos. MVA (2013)
Víctor Borjas, Michal Drozdzal, Petia Radeva, Jordi Vitrià
Human Relative Position Detection Based on Mutual Occlusion. CIARP (2012)
Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy. IEEE Trans. Inf. Technol. Biomed. 16 (6) (2012)
Petia Radeva, Michal Drozdzal, Santi Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
Active labeling: Application to wireless endoscopy analysis. HPCS (2012)
Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià
An Integrated Approach to Contextual Face Detection. ICPRAM (2) (2012)
Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva
Interactive Labeling of WCE Images. IbPRIA (2011)
Michal Drozdzal, Laura Igual, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
Aligning endoluminal scene sequences in wireless capsule endoscopy. CVPR Workshops (2010)