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| Datum vydání | Název | Autor |
| 2020 | Coral Reef annotation, localisation and pixel-wise classification using Mask R-CNN and Bag of Tricks | Picek, Lukáš; Říha, Antonín; Zita, Aleš |
| 2022 | Danish Fungi 2020 - Not Just Another Image Recognition Dataset | Picek, Lukáš; Šulc, Milan; Matas, Jiří; Jeppesen, Thomas S.; Heilmann-Clausen, Jacob; Lassoe, Thomas; Froslev, Tobias |
| 2021 | A deep learning method for visual recognition of snake species | Chamidullin, Rail; Šulc, Milan; Matas, Jiří; Picek, Lukáš |
| 2018 | ExperLifeCLEF-AI vs Experts classification competition | Picek, Lukáš |
| 2020 | Fungi Recognition: A Practical Use Case | Šulc, Milan; Picek, Lukáš; Matas, Jiří; Jeppesen, Thomas; Heilmann-Clausen, Jacob |
| 2021 | Hakuna Ma-Data – Animal Detection in the Wild | Picek, Lukáš |
| 2021 | Improving web user interface element detection using Faster R-CNN | Vyskočil, Jiří; Picek, Lukáš |
| 2021 | LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges | Joly, Alexis; Goëau, Hervé; Cole, Elijah; Kahl, Stefan; Picek, Lukáš; Glotin, Hervé; Deneu, Benjamin; Servajean, Maximillien; Lorieul, Titouan; Vellinga, Willem-Pier; Bonnet, Pierre; Durso, Andrew M.; de Castañeda, Rafael Ruiz; Eggel, Ivan; Müller, Henning |
| 2022 | LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction | Joly, Alexis; Goëau, Hervé; Kahl, Stefan; Picek, Lukáš; Lorieul, Titouan; Cole, Elijah; Deneu, Benjamin; Servajean, Maximillien; Durso, Andrew M.; Bolon, Isabelle; Glotin, Hervé; Planqué, Robert; Vellinga, Willem-Pier; Klinck, Holger; Denton, Tom; Eggel, Ivan; Bonnet, Pierre; Müller, Henning; Šulc, Milan |
| 2016 | Mobilní aplikace jako prostředek k rozpoznávání plodnic vysokých hub | Picek, Lukáš |
| 2022 | Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem | Picek, Lukáš; Šulc, Milan; Matas, Jiří; Heilmann-Clausen, Jacob |
| 2020 | Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction | Joly, Alexis; Goëau, Hervé; Kahl, Stefan; Deneu, Benjamin; Servajean, Maximillien; Cole, Elijah; Picek, Lukáš; de Castañeda, Rafael Ruiz; Bolon, Isabelle; Durso, Andrew; Lorieul, Titouan; Botella, Christophe; Glotin, Hervé; Champ, Julien; Eggel, Ivan; Vellinga, Willem-Pier; Bonnet, Pierre; Müller, Henning |
| 2021 | Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction | Joly, Alexis; Goëau, Hervé; Kahl, Stefan; Picek, Lukáš; Lorieul, Titouan; Cole, Elijah; Deneu, Benjamin; Servajean, Maximillien; Durso, Andrew; Bolon, Isabelle; Glotin, Hervé; Planqué, Robert; de Castañeda, Rafael Ruiz; Vellinga, Willem-Pier; Klinck, Holger; Denton, Tom; Eggel, Ivan; Bonnet, Pierre; Müller, Henning |
| 2022 | Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction | Joly, Alexis; Goëau, Hervé; Kahl, Stefan; Picek, Lukáš; Lorieul, Titouan; Cole, Elijah; Deneu, Benjamin; Servajean, Maximillien; Durso, Andrew M.; Glotin, Hervé; Planqué, Robert; Vellinga, Willem-Pier; Navine, Amanda; Klinck, Holger; Denton, Tom; Eggel, Ivan; Bonnet, Pierre; Šulc, Milan; Hrúz, Marek |
| 2021 | Overview of SnakeCLEF 2021: Automatic snake species identification with country-level focus | Picek, Lukáš; Durso, Andrew M.; Bolon, Isabelle; de Castañeda, Rafael Ruiz |
| 2022 | Overview of SnakeCLEF 2022: Automated Snake Species Identification on a Global Scale | Picek, Lukáš; Hrúz, Marek; Durso, Andrew M.; Bolon, Isabelle |
| 2020 | Overview of the SnakeCLEF 2020: Automatic snake species identification challenge | Picek, Lukáš; Bolon, Isabelle; Durso, Andrew M.; de Castañeda, Rafael Ruiz |
| 2022 | Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings | Picek, Lukáš; Šulc, Milan; Patel, Yash; Matas, Jiří |
| 2019 | PlantClef 2019 - plant identification on Amazonian flora | Picek, Lukáš |
| 2019 | Recognition of the Amazonian flora by Inception Networks with Test-time Class Prior Estimation | Picek, Lukáš; Šulc, Milan; Matas, Jiří |
