Milan Sulc

According to our database, Milan Sulc authored at least 29 papers between 2013 and 2024.

Collaborative distances:

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

2024

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification.

Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Milan Sulc, Marek Hrúz, Maximilien Servajean, Jirí Matas, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Andrew M. Durso, Ivan Eggel, Pierre Bonnet, Henning Müller

Proceedings of the Advances in Information Retrieval, 2024

2023

DocILE Benchmark for Document Information Localization and Extraction.

Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

DocILE 2023 Teaser: Document Information Localization and Extraction.

Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi

Proceedings of the Advances in Information Retrieval, 2023

LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges.

Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Christophe Botella, Diego Marcos, Milan Sulc, Marek Hrúz, Titouan Lorieul, Sara Si-Moussi, Maximilien Servajean, Benjamin Kellenberger, Elijah Cole, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller

Proceedings of the Advances in Information Retrieval, 2023

Text Detection Forgot About Document OCR.

Krzysztof Olejniczak, Milan Sulc

Proceedings of the 26th Computer Vision Winter Workshop (CVWW 2023), 2023

Extended Overview of DocILE 2023: Document Information Localization and Extraction.

Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of DocILE 2023: Document Information Localization and Extraction.

Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost.

Lukás Picek, Milan Sulc, Rail Chamidullin, Jirí Matas

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi.

Alexis Joly, Christophe Botella, Lukás Picek, Stefan Kahl, Hervé Goëau, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Rail Chamidullin, Milan Sulc, Marek Hrúz, Maximilien Servajean, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Contrastive Classification and Representation Learning with Probabilistic Interpretation.

Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Automatic Fungi Recognition: Deep Learning Meets Mycology.

Lukás Picek, Milan Sulc, Jirí Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Emil Lind

Sensors, 2022

The Hitchhiker's Guide to Prior-Shift Adaptation.

Tomás Sipka, Milan Sulc, Jirí Matas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Danish Fungi 2020 - Not Just Another Image Recognition Dataset.

Lukás Picek, Milan Sulc, Jirí Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen, Thomas Læssøe, Tobias Frøslev

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.

Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Isabelle Bolon, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller, Milan Sulc

Proceedings of the Advances in Information Retrieval, 2022

Business Document Information Extraction: Towards Practical Benchmarks.

Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem.

Lukás Picek, Milan Sulc, Jirí Matas, Jacob Heilmann-Clausen

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.

Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Amanda Navine, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Milan Sulc, Marek Hrúz

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

GLAMI-1M: A Multilingual Image-Text Fashion Dataset.

Vaclav Kosar, Antonín Hoskovec, Milan Sulc, Radek Bartyzal

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

A Deep Learning Method for Visual Recognition of Snake Species.

Rail Chamidullin, Milan Sulc, Jiri Matas, Lukás Picek

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Fungi Recognition: A Practical Use Case.

Milan Sulc, Lukás Picek, Jiri Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Improving CNN Classifiers by Estimating Test-Time Priors.

Milan Sulc, Jiri Matas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Recognition of the Amazonian flora by InceptionNetworks with Test-time Class Prior Estimation.

Lukás Picek, Milan Sulc, Jiri Matas

Proceedings of the Working Notes of CLEF 2019, 2019

2018

Plant Recognition by Inception Networks with Test-time Class Prior Estimation.

Milan Sulc, Lukás Picek, Jiri Matas

Proceedings of the Working Notes of CLEF 2018, 2018

Plant Identification: Experts vs. Machines in the Era of Deep Learning - Deep Learning Techniques Challenge Flora Experts.

Pierre Bonnet, Hervé Goëau, Siang Thye Hang, Mario Lasseck, Milan Sulc, Valéry Malécot, Philippe Jauzein, Jean-Claude Melet, Christian You, Alexis Joly

Proceedings of the Multimedia Tools and Applications for Environmental & Biodiversity Informatics, 2018

2017

Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition.

Milan Sulc, Jiri Matas

Proceedings of the Working Notes of CLEF 2017, 2017

2016

Very Deep Residual Networks with MaxOut for Plant Identification in the Wild.

Milan Sulc, Dmytro Mishkin, Jiri Matas

Proceedings of the Working Notes of CLEF 2016, 2016

2014

Fast Features Invariant to Rotation and Scale of Texture.

Milan Sulc, Jiri Matas

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Texture-Based Leaf Identification.

Milan Sulc, Jiri Matas

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Kernel-mapped histograms of multi-scale LBPs for tree bark recognition.

Milan Sulc, Jiri Matas

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013