Michal Drozdzal

93 papers A* 12B 1C 2Misc 2Journal 64Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation. CoRR Ye Zhu, Kaleb S. Newman, Johannes F. Lutzeyer, Adriana Romero-Soriano, Michal Drozdzal, Olga Russakovsky
2026	J	`jnl`	Inference-time Physics Alignment of Video Generative Models with Latent World Models. CoRR Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano
2026	J	`jnl`	Unified Text-Image Generation with Weakness-Targeted Post-Training. CoRR Jiahui Chen, Philippe Hansen-Estruch, Xiaochuang Han, Yushi Hu, Emily Dinan, Amita Kamath, Michal Drozdzal, Reyhane Askari Hemmat, Luke Zettlemoyer, Marjan Ghazvininejad
2025	A*	`conf`	Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. ICLR Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
2025	A*	`conf`	Boosting Latent Diffusion with Perceptual Objectives. ICLR Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek
2025	J	`jnl`	Controlling Multimodal LLMs via Reward-guided Decoding. CoRR Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal
2025	J	`jnl`	Entropy Rectifying Guidance for Diffusion and Flow Models. CoRR Tariq Berrada Ifriqi, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari
2025	J	`jnl`	Improving the Physics of Video Generation with VJEPA-2 Reward Signal. CoRR Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano
2025	A*	`conf`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. ICML Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. CoRR Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Increasing the Utility of Synthetic Images through Chamfer Guidance. CoRR Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari Hemmat, Melissa Hall, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
2025	J	`jnl`	Multi-Modal Language Models as Text-to-Image Model Evaluators. CoRR Jiahui Chen, Candace Ross, Reyhane Askari Hemmat, Koustuv Sinha, Melissa Hall, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Object-centric Binding in Contrastive Language-Image Pretraining. CoRR Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	TV2TV: A Unified Framework for Interleaved Language and Video Generation. CoRR Xiaochuang Han, Youssef Emad, Melissa Hall, John Nguyen, Karthik Padthe, Liam Robbins, Amir Bar, Delong Chen, Michal Drozdzal, Maha Elbayad, Yushi Hu, Shang-wen Li, Sreya Dutta Roy, Jakob Verbeek, Xudong Wang, Marjan Ghazvininejad, Luke Zettlemoyer, Emily Dinan
2025	J	`jnl`	The Intricate Dance of Prompt Complexity, Quality, Diversity, and Consistency in T2I Models. CoRR Xiaofeng Zhang, Aaron C. Courville, Michal Drozdzal, Adriana Romero-Soriano
2024	J	`jnl`	Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. CoRR Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
2024	J	`jnl`	Boosting Latent Diffusion with Perceptual Objectives. CoRR Tariq Berrada, Pietro Astolfi, Jakob Verbeek, Melissa Hall, Marton Havasi, Michal Drozdzal, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari
2024	J	`jnl`	Consistency-diversity-realism Pareto fronts of conditional image generative models. CoRR Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
2024	J	`jnl`	DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. Trans. Mach. Learn. Res. Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano
2024	J	`jnl`	EvalGIM: A Library for Evaluating Generative Image Models. CoRR Melissa Hall, Oscar Mañas, Reyhane Askari Hemmat, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada Ifriqi, Marton Havasi, Yohann Benchetrit, Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano
2024	J	`jnl`	Feedback-guided Data Synthesis for Imbalanced Classification. Trans. Mach. Learn. Res. Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
2024	—	`conf`	Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance. ECCV (87) Reyhane Askari Hemmat, Melissa Hall, Alicia Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano
2024	J	`jnl`	Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance. CoRR Reyhane Askari Hemmat, Melissa Hall, Alicia Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano
2024	J	`jnl`	Improving Text-to-Image Consistency via Automatic Prompt Optimization. CoRR Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
2024	J	`jnl`	Improving Text-to-Image Consistency via Automatic Prompt Optimization. Trans. Mach. Learn. Res. Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
2024	J	`jnl`	InCoRo: In-Context Learning for Robotics Control with Feedback Loops. CoRR Jiaqiang Ye Zhu, Carla Gomez Cano, David Vázquez Bermudez, Michal Drozdzal
2024	J	`jnl`	On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. CoRR Tariq Berrada, Pietro Astolfi, Melissa Hall, Reyhane Askari Hemmat, Yohann Benchetrit, Marton Havasi, Matthew J. Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2024	A*	`conf`	On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. NeurIPS Tariq Berrada Ifriqi, Pietro Astolfi, Melissa Hall, Reyhane Askari Hemmat, Yohann Benchetrit, Marton Havasi, Matthew J. Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2024	—	`conf`	Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. FAccT Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano
2024	J	`jnl`	Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. CoRR Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano
2023	J	`jnl`	Controllable Image Generation via Collage Representations. CoRR Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal
2023	J	`jnl`	DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. CoRR Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano
2023	J	`jnl`	Feedback-guided Data Synthesis for Imbalanced Classification. CoRR Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
2023	A*	`conf`	ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. ICLR Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2023	J	`jnl`	Improved baselines for vision-language pre-training. CoRR Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2023	J	`jnl`	Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2023	J	`jnl`	Instance-Conditioned GAN Data Augmentation for Representation Learning. CoRR Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal
2023	J	`jnl`	Learning to Substitute Ingredients in Recipes. CoRR Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 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
2022	J	`jnl`	ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. CoRR Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2022	—	`conf`	On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. MIDL Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
2022	J	`jnl`	On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. CoRR Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
2022	J	`jnl`	Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano
2021	A*	`conf`	Active 3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
2021	J	`jnl`	Active 3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
2021	A*	`conf`	Instance-Conditioned GAN. NeurIPS Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2021	J	`jnl`	Instance-Conditioned GAN. CoRR Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2021	A*	`conf`	Parameter Prediction for Unseen Deep Architectures. NeurIPS Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
2021	J	`jnl`	Parameter Prediction for Unseen Deep Architectures. CoRR Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
2020	A*	`conf`	3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	J	`jnl`	3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	—	`conf`	Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2020	J	`jnl`	Active MR k-space Sampling with Reinforcement Learning. CoRR Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2020	—	`conf`	Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. MIDL David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
2020	J	`jnl`	Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. CoRR David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
2020	J	`jnl`	Generating unseen complex scenes: are we there yet? CoRR Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano
2020	A*	`conf`	Instance Selection for GANs. NeurIPS Terrance DeVries, Michal Drozdzal, Graham W. Taylor
2020	J	`jnl`	Instance Selection for GANs. CoRR Terrance DeVries, Michal Drozdzal, Graham W. Taylor
2019	J	`jnl`	Elucidating image-to-set prediction: An analysis of models, losses and datasets. CoRR Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero
2019	A*	`conf`	Inverse Cooking: Recipe Generation From Food Images. CVPR Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero
2019	J	`jnl`	Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal
2019	J	`jnl`	On the Evaluation of Conditional GANs. CoRR Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal
2019	A*	`conf`	Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2019	J	`jnl`	Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2019	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). CoRR 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
2018	J	`jnl`	Inverse Cooking: Recipe Generation from Food Images. CoRR Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero
2018	J	`jnl`	Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
2018	—	`conf`	On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. CVPR Workshops Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio
2018	J	`jnl`	On the iterative refinement of densely connected representation levels for semantic segmentation. CoRR Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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
2017	J	`jnl`	Image Segmentation by Iterative Inference from Conditional Score Estimation. CoRR Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio
2017	J	`jnl`	Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville
2017	J	`jnl`	Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. CoRR Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
2017	—	`conf`	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CVPR Workshops Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio
2016	J	`jnl`	A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. CoRR David Vázquez, Jorge Bernal, Francisco Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron C. Courville
2016	C	`conf`	Deep Learning Features for Wireless Capsule Endoscopy Analysis. CIARP Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2016	J	`jnl`	Generic Feature Learning for Wireless Capsule Endoscopy Analysis. CoRR Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2016	J	`jnl`	Generic feature learning for wireless capsule endoscopy analysis. Comput. Biol. Medicine Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2016	—	`conf`	The Importance of Skip Connections in Biomedical Image Segmentation. LABELS/DLMIA@MICCAI Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal
2016	J	`jnl`	The Importance of Skip Connections in Biomedical Image Segmentation. CoRR Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal
2016	J	`jnl`	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CoRR Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio
2015	J	`jnl`	Motility bar: A new tool for motility analysis of endoluminal videos. Comput. Biol. Medicine Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2014	J	`jnl`	Detection of Wrinkle Frames in Endoluminal Videos Using Betweenness Centrality Measures for Images. IEEE J. Biomed. Health Informatics Santi Seguí, Michal Drozdzal, Ekaterina Zaytseva, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
2014	B	`conf`	Intestinal event segmentation for endoluminal video analysis. ICIP Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
2013	Misc	`conf`	A new image centrality descriptor for wrinkle frame detection in WCE videos. MVA Santi Seguí, Ekaterina Zaytseva, Michal Drozdzal, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
2013	J	`jnl`	Adaptable image cuts for motility inspection using WCE. Comput. Medical Imaging Graph. Michal Drozdzal, Santi Seguí, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
2013	—	`ch.`	An Application for Efficient Error-Free Labeling of Medical Images. Multimodal Interaction in Image and Video Applications Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2012	—	`conf`	Active labeling: Application to wireless endoscopy analysis. HPCS Petia Radeva, Michal Drozdzal, Santi Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2012	—	`conf`	An Integrated Approach to Contextual Face Detection. ICPRAM (2) Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià
2012	J	`jnl`	Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy. IEEE Trans. Inf. Technol. Biomed. Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
2012	C	`conf`	Human Relative Position Detection Based on Mutual Occlusion. CIARP Víctor Borjas, Michal Drozdzal, Petia Radeva, Jordi Vitrià
2011	Misc	`conf`	Interactive Labeling of WCE Images. IbPRIA Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva
2010	—	`conf`	Aligning endoluminal scene sequences in wireless capsule endoscopy. CVPR Workshops Michal Drozdzal, Laura Igual, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva