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Lukáš Picek
Lukáš Picek
Inria, University of West Bohemia
E-mailová adresa ověřena na: kky.zcu.cz - Domovská stránka
Název
Citace
Citace
Rok
Overview of lifeclef 2022: an evaluation of machine-learning based species identification and species distribution prediction
A Joly, H Goëau, S Kahl, L Picek, T Lorieul, E Cole, B Deneu, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2022
592022
Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
A Joly, H Goëau, S Kahl, B Deneu, M Servajean, E Cole, L Picek, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2020
522020
Danish fungi 2020-not just another image recognition dataset
L Picek, M Šulc, J Matas, TS Jeppesen, J Heilmann-Clausen, T Læssøe, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
442022
Fungi recognition: a practical use case
M Sulc, L Picek, J Matas, T Jeppesen, J Heilmann-Clausen
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
272020
Automatic Fungi Recognition: Deep Learning Meets Mycology
L Picek, M Šulc, J Matas, J Heilmann-Clausen, TS Jeppesen, E Lind
Sensors 22 (2), 633, 2022
252022
Overview of the SnakeCLEF 2020: Automatic snake species identification challenge
L Picek, R Ruiz De Castaneda, AM Durso, PM Sharada
CLEF task overview, 2020
242020
Plant Recognition by Inception Networks with Test-time Class Prior Estimation.
M Sulc, L Picek, J Matas
CLEF (Working Notes), 2018
242018
Overview of SnakeCLEF 2021: Automatic snake species identification with country-level focus
L Picek, AM Durso, I Bolon, RR de Castañeda
CEUR-WS, 2021
192021
An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology
I Bolon, L Picek, AM Durso, G Alcoba, F Chappuis, R Ruiz de Castañeda
PLOS Neglected Tropical Diseases 16 (8), e0010647, 2022
152022
Overview of FungiCLEF 2022: Fungi recognition as an open set classification problem
L Picek, M Šulc, J Matas, J Heilmann-Clausen
CEUR-WS, 2022
152022
Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings
L Picek, M Šulc, Y Patel, J Matas
Frontiers in Plant Science, 2788, 2022
152022
Recognition of the Amazonian flora by inception networks with test-time class prior estimation
L Picek, M Šulc, J Matas
CLEF (Working Notes), 2019
152019
Overview of lifeclef 2023: evaluation of ai models for the identification and prediction of birds, plants, snakes and fungi
A Joly, C Botella, L Picek, S Kahl, H Goëau, B Deneu, D Marcos, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2023
142023
Overview of SnakeCLEF 2022: Automated snake species identification on a global scale
L Picek, M Hrúz, AM Durso, I Bolon
CEUR-WS, 2022
112022
Lifeclef 2022 teaser: An evaluation of machine-learning based species identification and species distribution prediction
A Joly, H Goëau, S Kahl, L Picek, T Lorieul, E Cole, B Deneu, ...
European Conference on Information Retrieval, 390-399, 2022
102022
SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification
K Papafitsoros, L Adam, V Čermák, L Picek
arXiv preprint arXiv:2211.10307, 2022
72022
LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges
A Joly, H Goëau, S Kahl, L Picek, C Botella, D Marcos, M Šulc, M Hrúz, ...
European Conference on Information Retrieval, 568-576, 2023
62023
A deep learning method for visual recognition of snake species
R Chamidullin, M Šulc, J Matas, L Picek
CEUR-WS, 2021
62021
Coral Reef annotation, localisation and pixel-wise classification using Mask R-CNN and Bag of Tricks
L Picek, A Říha, A Zita
CEUR, 2020
52020
Overview of snakeclef 2023: Snake identification in medically important scenarios
L Picek, M Šulc, R Chamidullin, AM Durso
CLEF, 2023
42023
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Články 1–20