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Milan Sulc

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2020 – today

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2024
[c29]
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Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Milan Sulc, Marek Hrúz, Maximilien Servajean, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller:
Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification. CLEF (2) 2024: 183-207
[c28]
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Lukás Picek, Milan Sulc, Jirí Matas:
Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost. CLEF (Working Notes) 2024: 1958-1965
[c27]
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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:
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. ECIR (6) 2024: 19-27
[i10]
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  - journals/corr/abs-2408-13632
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Lukás Picek, Klára Janousková, Milan Sulc, Jiri Matas:
FungiTastic: A multi-modal dataset and benchmark for image categorization. CoRR abs/2408.13632 (2024)
2023
[c26]
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Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino:
Contrastive Classification and Representation Learning with Probabilistic Interpretation. AAAI 2023: 6675-6683
[c25]
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Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Overview of DocILE 2023: Document Information Localization and Extraction. CLEF 2023: 276-293
[c24]
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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:
Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. CLEF 2023: 416-439
[c23]
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Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Extended Overview of DocILE 2023: Document Information Localization and Extraction. CLEF (Working Notes) 2023: 546-571
[c22]
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Lukás Picek, Milan Sulc, Rail Chamidullin, Jirí Matas:
Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost. CLEF (Working Notes) 2023: 1943-1953
[c21]
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Krzysztof Olejniczak, Milan Sulc:
Text Detection Forgot About Document OCR. CVWW 2023
[c20]
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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:
LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. ECIR (3) 2023: 568-576
[c19]
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Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi:
DocILE 2023 Teaser: Document Information Localization and Extraction. ECIR (3) 2023: 600-608
[c18]
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Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
DocILE Benchmark for Document Information Localization and Extraction. ICDAR (2) 2023: 147-166
[i9]
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  - journals/corr/abs-2301-12394
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Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi:
DocILE 2023 Teaser: Document Information Localization and Extraction. CoRR abs/2301.12394 (2023)
[i8]
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  - journals/corr/abs-2302-05658
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Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
DocILE Benchmark for Document Information Localization and Extraction. CoRR abs/2302.05658 (2023)
2022
[j1]
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  - journals/sensors/PicekSMHJL22
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Lukás Picek, Milan Sulc, Jirí Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Emil Lind:
Automatic Fungi Recognition: Deep Learning Meets Mycology. Sensors 22(2): 633 (2022)
[c17]
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Vaclav Kosar, Antonín Hoskovec, Milan Sulc, Radek Bartyzal:
GLAMI-1M: A Multilingual Image-Text Fashion Dataset. BMVC 2022: 607
[c16]
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Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc:
Business Document Information Extraction: Towards Practical Benchmarks. CLEF 2022: 105-117
[c15]
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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:
Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. CLEF 2022: 257-285
[c14]
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Lukás Picek, Milan Sulc, Jirí Matas, Jacob Heilmann-Clausen:
Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem. CLEF (Working Notes) 2022: 1970-1981
[c13]
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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:
LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. ECIR (2) 2022: 390-399
[c12]
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  - conf/wacv/SipkaSM22
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Tomás Sipka, Milan Sulc, Jirí Matas:
The Hitchhiker's Guide to Prior-Shift Adaptation. WACV 2022: 2031-2039
[c11]
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Lukás Picek, Milan Sulc, Jirí Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen, Thomas Læssøe, Tobias Frøslev:
Danish Fungi 2020 - Not Just Another Image Recognition Dataset. WACV 2022: 3281-3291
[i7]
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  - journals/corr/abs-2206-11229
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Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc:
Business Document Information Extraction: Towards Practical Benchmarks. CoRR abs/2206.11229 (2022)
[i6]
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  - journals/corr/abs-2210-07903
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Krzysztof Olejniczak, Milan Sulc:
Text Detection Forgot About Document OCR. CoRR abs/2210.07903 (2022)
[i5]
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  - journals/corr/abs-2211-03646
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Rahaf Aljundi, Yash Patel, Milan Sulc, Daniel Olmeda Reino, Nikolay Chumerin:
Contrastive Classification and Representation Learning with Probabilistic Interpretation. CoRR abs/2211.03646 (2022)
[i4]
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  - journals/corr/abs-2211-14451
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Vaclav Kosar, Antonín Hoskovec, Milan Sulc, Radek Bartyzal:
GLAMI-1M: A Multilingual Image-Text Fashion Dataset. CoRR abs/2211.14451 (2022)
2021
[c10]
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  - conf/clef/ChamidullinSMP21
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Rail Chamidullin, Milan Sulc, Jiri Matas, Lukás Picek:
A Deep Learning Method for Visual Recognition of Snake Species. CLEF (Working Notes) 2021: 1512-1525
[i3]
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  - journals/corr/abs-2103-10107
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Lukás Picek, Milan Sulc, Jiri Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Thomas Læssøe, Tobias Frøslev:
Danish Fungi 2020 - Not Just Another Image Recognition Dataset. CoRR abs/2103.10107 (2021)
[i2]
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  - journals/corr/abs-2106-11695
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Tomás Sipka, Milan Sulc, Jiri Matas:
The Hitchhiker's Guide to Prior-Shift Adaptation. CoRR abs/2106.11695 (2021)
2020
[c9]
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  - conf/wacv/SulcPMJH20
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Milan Sulc, Lukás Picek, Jiri Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen:
Fungi Recognition: A Practical Use Case. WACV 2020: 2305-2313

2010 – 2019

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2019
[c8]
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Lukás Picek, Milan Sulc, Jiri Matas:
Recognition of the Amazonian flora by InceptionNetworks with Test-time Class Prior Estimation. CLEF (Working Notes) 2019
[c7]
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Milan Sulc, Jiri Matas:
Improving CNN Classifiers by Estimating Test-Time Priors. ICCV Workshops 2019: 3220-3226
2018
[c6]
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Milan Sulc, Lukás Picek, Jiri Matas:
Plant Recognition by Inception Networks with Test-time Class Prior Estimation. CLEF (Working Notes) 2018
[p1]
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Pierre Bonnet, Hervé Goëau, Siang Thye Hang, Mario Lasseck, Milan Sulc, Valéry Malécot, Philippe Jauzein, Jean-Claude Melet, Christian You, Alexis Joly:
Plant Identification: Experts vs. Machines in the Era of Deep Learning - Deep Learning Techniques Challenge Flora Experts. Multimedia Tools and Applications for Environmental & Biodiversity Informatics 2018: 131-149
[i1]
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  - journals/corr/abs-1805-08235
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Milan Sulc, Jiri Matas:
Improving CNN classifiers by estimating test-time priors. CoRR abs/1805.08235 (2018)
2017
[c5]
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Milan Sulc, Jiri Matas:
Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition. CLEF (Working Notes) 2017
2016
[c4]
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Milan Sulc, Dmytro Mishkin, Jiri Matas:
Very Deep Residual Networks with MaxOut for Plant Identification in the Wild. CLEF (Working Notes) 2016: 579-586
2014
[c3]
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Milan Sulc, Jiri Matas:
Fast Features Invariant to Rotation and Scale of Texture. ECCV Workshops (2) 2014: 47-62
[c2]
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Milan Sulc, Jiri Matas:
Texture-Based Leaf Identification. ECCV Workshops (4) 2014: 185-200
2013
[c1]
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  - conf/ivcnz/SulcM13
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Milan Sulc, Jiri Matas:
Kernel-mapped histograms of multi-scale LBPs for tree bark recognition. IVCNZ 2013: 82-87

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