Kernel-mapped histograms of multi-scale LBPs for tree bark recognition. - Milan Sulc; Jiri Matas (IVCNZ, 2013)

Texture-Based Leaf Identification. - Milan Sulc; Jiri Matas (ECCV Workshops (4), 2014)

Fast Features Invariant to Rotation and Scale of Texture. - Milan Sulc; Jiri Matas (ECCV Workshops (2), 2014)

Very Deep Residual Networks with MaxOut for Plant Identification in the Wild. - Milan Sulc; Dmytro Mishkin; Jiri Matas (CLEF (Working Notes), 2016)

Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition. - Milan Sulc; Jiri Matas (CLEF (Working Notes), 2017)

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 (Multimedia Tools and Applications for Environmental & Biodiversity Informatics, 2018)

Plant Recognition by Inception Networks with Test-time Class Prior Estimation. - Milan Sulc; Lukás Picek; Jiri Matas (CLEF (Working Notes), 2018)

Recognition of the Amazonian flora by InceptionNetworks with Test-time Class Prior Estimation. - Lukás Picek; Milan Sulc; Jiri Matas (CLEF (Working Notes), 2019)

Improving CNN Classifiers by Estimating Test-Time Priors. - Milan Sulc; Jiri Matas (ICCV Workshops, 2019)

Fungi Recognition: A Practical Use Case. - Milan Sulc; Lukás Picek; Jiri Matas; Thomas S. Jeppesen; Jacob Heilmann-Clausen (WACV, 2020)

A Deep Learning Method for Visual Recognition of Snake Species. - Rail Chamidullin; Milan Sulc; Jiri Matas; Lukás Picek (CLEF (Working Notes), 2021)

GLAMI-1M: A Multilingual Image-Text Fashion Dataset. - Vaclav Kosar; Antonín Hoskovec; Milan Sulc; Radek Bartyzal (BMVC, 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; et al. (CLEF, 2022)

Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem. - Lukás Picek; Milan Sulc; Jirí Matas; Jacob Heilmann-Clausen (CLEF (Working Notes), 2022)

Business Document Information Extraction: Towards Practical Benchmarks. - Matyás Skalický; Stepán Simsa; Michal Uricár; Milan Sulc (CLEF, 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; et al. (ECIR (2), 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 (WACV, 2022)

The Hitchhiker's Guide to Prior-Shift Adaptation. - Tomás Sipka; Milan Sulc; Jirí Matas (WACV, 2022)

Automatic Fungi Recognition: Deep Learning Meets Mycology. - Lukás Picek; Milan Sulc; Jirí Matas; Jacob Heilmann-Clausen; Thomas S. Jeppesen; Emil Lind (Sensors, 2022)

Contrastive Classification and Representation Learning with Probabilistic Interpretation. - Rahaf Aljundi; Yash Patel; Milan Sulc; Nikolay Chumerin; Daniel Olmeda Reino (AAAI, 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; et al. (CLEF, 2023)

Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost. - Lukás Picek; Milan Sulc; Rail Chamidullin; Jirí Matas (CLEF (Working Notes), 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 (CLEF, 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 (CLEF (Working Notes), 2023)

Text Detection Forgot About Document OCR. - Krzysztof Olejniczak; Milan Sulc (CVWW, 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; et al. (ECIR (3), 2023)

DocILE 2023 Teaser: Document Information Localization and Extraction. - Stepán Simsa; Milan Sulc; Matyás Skalický; Yash Patel; Ahmed Hamdi (ECIR (3), 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 (ICDAR (2), 2023)

Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Vincent Espitalier; Christophe Botella; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Milan Sulc; Marek Hrúz; et al. (CLEF (2), 2024)

Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost. - Lukás Picek; Milan Sulc; Jirí Matas (CLEF (Working Notes), 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; et al. (ECIR (6), 2024)

FungiTastic: A multi-modal dataset and benchmark for image categorization. - Lukás Picek; Klára Janousková; Milan Sulc; Jiri Matas (CoRR, 2024)