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Michal Drozdzal
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2020 – today
- 2024
- [j9]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) - [c24]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. ECCV (87) 2024: 213-229 - [c23]Melissa Hall
, Samuel J. Bell
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. FAccT 2024: 585-601 - [i38]Jiaqiang Ye Zhu, Carla Gomez Cano, David Vázquez Bermudez, Michal Drozdzal:
InCoRo: In-Context Learning for Robotics Control with Feedback Loops. CoRR abs/2402.05188 (2024) - [i37]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 abs/2403.17804 (2024) - [i36]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 abs/2405.04457 (2024) - [i35]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 abs/2406.04551 (2024) - [i34]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 abs/2406.10429 (2024) - [i33]Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen:
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. CoRR abs/2409.08861 (2024) - 2023
- [j8]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j7]Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal:
Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. 2023 (2023) - [c22]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 - [i32]Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano:
Learning to Substitute Ingredients in Recipes. CoRR abs/2302.07960 (2023) - [i31]Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal:
Instance-Conditioned GAN Data Augmentation for Representation Learning. CoRR abs/2303.09677 (2023) - [i30]Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal:
Controllable Image Generation via Collage Representations. CoRR abs/2304.13722 (2023) - [i29]Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal:
Improved baselines for vision-language pre-training. CoRR abs/2305.08675 (2023) - [i28]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 abs/2308.06198 (2023) - [i27]Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano:
Feedback-guided Data Synthesis for Imbalanced Classification. CoRR abs/2310.00158 (2023) - 2022
- [c21]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: 63-85 - [i26]Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda:
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. CoRR abs/2203.16392 (2022) - [i25]Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR abs/2210.00978 (2022) - [i24]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 abs/2211.01866 (2022) - 2021
- [c20]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: 16064-16078 - [c19]Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano:
Instance-Conditioned GAN. NeurIPS 2021: 27517-27529 - [c18]Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano:
Parameter Prediction for Unseen Deep Architectures. NeurIPS 2021: 29433-29448 - [i23]Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. CoRR abs/2107.09584 (2021) - [i22]Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano:
Instance-Conditioned GAN. CoRR abs/2109.05070 (2021) - [i21]Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano:
Parameter Prediction for Unseen Deep Architectures. CoRR abs/2110.13100 (2021) - 2020
- [c17]Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra
Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) 2020: 23-33 - [c16]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: 770-783 - [c15]Terrance DeVries, Michal Drozdzal, Graham W. Taylor:
Instance Selection for GANs. NeurIPS 2020 - [c14]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. NeurIPS 2020 - [i20]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 abs/2004.07041 (2020) - [i19]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. CoRR abs/2007.03778 (2020) - [i18]Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal:
Active MR k-space Sampling with Reinforcement Learning. CoRR abs/2007.10469 (2020) - [i17]Terrance DeVries, Michal Drozdzal, Graham W. Taylor:
Instance Selection for GANs. CoRR abs/2007.15255 (2020) - [i16]Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano:
Generating unseen complex scenes: are we there yet? CoRR abs/2012.04027 (2020)
2010 – 2019
- 2019
- [c13]Zizhao Zhang, Adriana Romero, Matthew J. Muckley
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR 2019: 2049-2058 - [c12]Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto
Inverse Cooking: Recipe Generation From Food Images. CVPR 2019: 10453-10462 - [i15]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
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i14]Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal:
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR abs/1902.03051 (2019) - [i13]Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero:
Elucidating image-to-set prediction: An analysis of models, losses and datasets. CoRR abs/1904.05709 (2019) - [i12]Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal:
On the Evaluation of Conditional GANs. CoRR abs/1907.08175 (2019) - [i11]Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal:
Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR abs/1908.06037 (2019) - 2018
- [j6]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang
Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. 44: 1-13 (2018) - [c11]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: 978-987 - [i10]Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio:
On the iterative refinement of densely connected representation levels for semantic segmentation. CoRR abs/1804.11332 (2018) - [i9]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 abs/1811.08839 (2018) - [i8]Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero:
Inverse Cooking: Recipe Generation from Food Images. CoRR abs/1812.06164 (2018) - 2017
- [c10]Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CVPR Workshops 2017: 1175-1183 - [i7]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 abs/1702.05174 (2017) - [i6]Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio:
Image Segmentation by Iterative Inference from Conditional Score Estimation. CoRR abs/1705.07450 (2017) - [i5]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 abs/1710.02248 (2017) - 2016
- [j5]Santi Seguí
Generic feature learning for wireless capsule endoscopy analysis. Comput. Biol. Medicine 79: 163-172 (2016) - [c9]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz
Deep Learning Features for Wireless Capsule Endoscopy Analysis. CIARP 2016: 326-333 - [c8]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. LABELS/DLMIA@MICCAI 2016: 179-187 - [i4]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Generic Feature Learning for Wireless Capsule Endoscopy Analysis. CoRR abs/1607.07604 (2016) - [i3]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. CoRR abs/1608.04117 (2016) - [i2]Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CoRR abs/1611.09326 (2016) - [i1]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 abs/1612.00799 (2016) - 2015
- [j4]Michal Drozdzal, Santi Seguí
Motility bar: A new tool for motility analysis of endoluminal videos. Comput. Biol. Medicine 65: 320-330 (2015) - 2014
- [j3]Santi Seguí
Detection of Wrinkle Frames in Endoluminal Videos Using Betweenness Centrality Measures for Images. IEEE J. Biomed. Health Informatics 18(6): 1831-1838 (2014) - [c7]Michal Drozdzal, Jordi Vitrià
Intestinal event segmentation for endoluminal video analysis. ICIP 2014: 3592-3596 - 2013
- [j2]Michal Drozdzal, Santi Seguí
Adaptable image cuts for motility inspection using WCE. Comput. Medical Imaging Graph. 37(1): 72-80 (2013) - [c6]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: 25-28 - [p1]Michal Drozdzal, Santi Seguí
An Application for Efficient Error-Free Labeling of Medical Images. Multimodal Interaction in Image and Video Applications 2013: 1-16 - 2012
- [j1]Santi Seguí
Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy. IEEE Trans. Inf. Technol. Biomed. 16(6): 1341-1352 (2012) - [c5]Víctor Borjas, Michal Drozdzal, Petia Radeva
Human Relative Position Detection Based on Mutual Occlusion. CIARP 2012: 332-339 - [c4]Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià:
An Integrated Approach to Contextual Face Detection. ICPRAM (2) 2012: 90-97 - [c3]Petia Radeva
Active labeling: Application to wireless endoscopy analysis. HPCS 2012: 174-181 - 2011
- [c2]Michal Drozdzal, Santi Seguí
Interactive Labeling of WCE Images. IbPRIA 2011: 143-150 - 2010
- [c1]Michal Drozdzal, Laura Igual, Jordi Vitrià
Aligning endoluminal scene sequences in wireless capsule endoscopy. CVPR Workshops 2010: 117-124
Coauthor Index
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last updated on 2024-12-03 21:20 CET by the dblp team
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