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Milan Šulc
Milan Šulc
Second Foundation
Verified email at second-foundation.eu - Homepage
Title
Cited by
Cited by
Year
Fine-grained recognition of plants from images
M Šulc, J Matas
Plant Methods 13, 1-14, 2017
682017
Plant identification: Experts vs. machines in the era of deep learning: deep learning techniques challenge flora experts
P Bonnet, H GoŽau, ST Hang, M Lasseck, M Šulc, V Malťcot, P Jauzein, ...
Multimedia tools and applications for environmental & biodiversity†…, 2018
612018
Overview of LifeCLEF 2022: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction
A Joly, H GoŽau, S Kahl, L Picek, T Lorieul, E Cole, B Deneu, ...
Lecture Notes in Computer Science, 2022
592022
System and method for product identification
M Sulc, AG Soldevila, DL Larrondo, FC Perronnin
US Patent 9,443,164, 2016
522016
Danish Fungi 2020-Not Just Another Image Recognition Dataset
L Picek, M Šulc, J Matas, TS Jeppesen, J Heilmann-Clausen, T LśssÝe, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer†…, 2022
452022
Kernel-mapped histograms of multi-scale LBPs for tree bark recognition
M Sulc, J Matas
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International†…, 2013
372013
Texture-based leaf identification
M Sulc, J Matas
European Conference on Computer Vision, 185-200, 2014
342014
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
282020
Automatic Fungi Recognition: Deep Learning Meets Mycology
L Picek, M Šulc, J Matas, J Heilmann-Clausen, TS Jeppesen, E Lind
Sensors 22 (633), 2022
272022
Improving cnn classifiers by estimating test-time priors
M Sulc, J Matas
Proceedings of the IEEE/CVF International Conference on Computer Vision†…, 2019
262019
Plant Recognition by Inception Networks with Test-time Class Prior Estimation
M Šulc, L Picek, J Matas
CLEF 2018 - Conference and Labs of the Evaluation Forum, 2018
242018
Very deep residual networks with maxout for plant identification in the wild
M Šulc, D Mishkin, J Matas
Working notes of CLEF, 2016
202016
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, 2022
192022
DocILE Benchmark for Document Information Localization and Extraction
Š Šimsa, M Šulc, M UřičŠř, Y Patel, A Hamdi, M KociŠn, M Skalickż, ...
International Conference on Document Analysis and Recognition - ICDAR 2023†…, 2023
182023
The Hitchhiker's Guide to Prior-Shift Adaptation
T Šipka, M Šulc, J Matas
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer†…, 2022
182022
Fast features invariant to rotation and scale of texture
M Sulc, J Matas
European Conference on Computer Vision, 47-62, 2014
162014
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
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 GoŽau, B Deneu, D Marcos, ...
International Conference of the Cross-Language Evaluation Forum for European†…, 2023
142023
Deep learning for plant identification: how the web can compete with human experts
H GoŽau, A Joly, P Bonnet, M Lasseck, M Šulc, ST Hang
Biodiversity Information Science and Standards 2, e25637, 2018
132018
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