Lukáš Picek

Journal Publications

Automatic Fungi Recognition: Deep Learning Meets MycologyLukáš Picek, Milan Šulc, Jiří Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen, and EmilLind. Sensors. MultidisciplinaryDigital Publishing Institute, 2022
Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddingsLukáš Picek, Milan Šulc, Yash Patel, and Jiří Matas. Frontiers in Plant Science. Frontiers, 2022
An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetologyLukáš Picek, Bolon I, Durso AM, Alcoba G, Chappuis F, and Ruiz de Castañeda R. PLOS , NEGLECTED TROPICAL DISEASES, 2022

In Conference Proceedings

Monitoring of Varroa Infestation Rate in Beehives: A Simple AI ApproachLukáš Picek, Novozamsky, A., Frydrychova, R. C., Zitova, B., & Mach, P. In Proceedings of the IEEE International Conference on Image Processing (ICIP). IEEE. 2022
Danish fungi 2020 – not just another image recognition datasetLukáš Picek, Milan Šulc, Jiří Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Thomas Læssøe, and Tobias Frøslev. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022.
Fungi recognition: A practical Use Case.Milan Sulc, Lukáš Picek, Jiri Matas, Thomas Jeppesen, and Jacob Heilmann-Clausen. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 2316–2324, 2020.

Workshop Papers and Workshop overview papers

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.Joly, A., Goëau, H., Kahl, S., Picek, L., Lorieul, T., Cole, E., ... & Šulc, M. In European Conference on Information Retrieval (pp. 390-399). Springer, 2022
Overview of FungiCLEF 2022: fungi recognition as an open set classification problem.Picek, L., Šulc, M., Heilmann-Clausen, J., & Matas, J. In CLEF (Working Notes), 2022
Overview of SnakeCLEF 2022: Automated snake species identification on a global scalePicek, L., Durso, A. M., Hrúz, M., & Bolon, I.In CLEF (Working Notes), 2022
Overview of lifeclef 2022: an evaluation of machine-learning based species identification and species distribution predictionJoly, A., Goëau, H., Kahl, S., Picek, L., Lorieul, T., Cole, E., ... & Hrúz, M. (2022). In International Conference of the Cross-Language Evaluation Forum for European Languages. Springer, 2022.
Overview of LifeCLEF 2021: an evaluation of machine-learning based species identification and species distribution predictionAlexis Joly, Hervé Goëau, S Kahl, Lukáš Picek, T Lorieul, E Cole, B. Deneu, M Servajean, A. Durso, I. Bolon, et al. In International Conference of the Cross-Language Evaluation Forum for European Languages, Springer, 2021.
Lifeclef 2021 teaser: Biodiversity identification and prediction challenges.Alexis Joly, Hervé Goëau, E. Cole, S. Kahl, Lukáš Picek, H. Glotin, B. Deneu, M. Servajean, T. Lorieul, Willem-Pier Vellinga, et al. In European Conference on Information Retrieval, pages 601–607. Springer, 2021.
A deep learning method for visual recognition of snake species.Rail Chamidullin, Milan Šulc, Jiří Matas, and Lukáš Picek. In CLEF (Working Notes), 2021.
Overview of SnakeCLEF 2021: Automatic snake species identification with country-level focusPicek, Lukáš, AM Durso, R Ruiz De Castañeda, and I Bolon. In Working Notes of CLEF, 2021.
Improving web user interface element detection using Faster R-CNNJiří Vyskočil and Lukáš Picek. In CLEF (Working Notes), 2021.
Sketch2code: Automatic hand-drawn UI elements detection with Faster-RCNNAles Zita, Lukáš Picek, and Antonín Ríha. In CLEF (Working Notes), 2020.
Mastering large scale multi-label image recognition with high efficiency over camera trap imagesM. Valan and Lukáš Picek. In CVPR - Workshop on Fine-Grained Visual Categorization, 2020.
Coral reef annotation, localisation and pixel-wise classification using Mask-RCNN and bag of tricksLukáš Picek, Antonín Ríha, and Ales Zita. In CLEF (Working Notes), 2020.
Overview of the SnakeClef 2020: Automatic snake species identification challengeLukáš Picek, I. Bolon, A. Durso, and R. De Castañeda. In CLEF (Working Notes), 2020.
Overview of LifeCLEF 2020: a system-oriented evaluation of automated species identification and species distribution predictionAlexis Joly, Hervé Goëau, S. Kahl, B. Deneu, M. Servajean, E. Cole, Lukáš Picek, R. Castaneda, I. Bolon, A. Durso, et al. In International Conference of the Cross-Language Evaluation Forum for European Languages, pages 342–363. Springer, 2020.
Recognition of the amazonian flora by inception networks with test-time class prior estimationLukáš Picek, Milan Sulc, and Jiri Matas. In CLEF (Working Notes), 2019.
Plant recognition by Inception networks with test-time class prior estimationMilan Sulc, Lukáš Picek, and Jiri Matas. In CLEF (Working Notes), 2018.

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