Milan Sulc

Orcid: 0000-0002-6321-0131

According to our database1, Milan Sulc authored at least 32 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FungiTastic: A multi-modal dataset and benchmark for image categorization.
CoRR, 2024


Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

2023
DocILE Benchmark for Document Information Localization and Extraction.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

DocILE 2023 Teaser: Document Information Localization and Extraction.
Proceedings of the Advances in Information Retrieval, 2023


Text Detection Forgot About Document OCR.
Proceedings of the 26th Computer Vision Winter Workshop (CVWW 2023), 2023

Extended Overview of DocILE 2023: Document Information Localization and Extraction.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of DocILE 2023: Document Information Localization and Extraction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Contrastive Classification and Representation Learning with Probabilistic Interpretation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Automatic Fungi Recognition: Deep Learning Meets Mycology.
Sensors, 2022

The Hitchhiker's Guide to Prior-Shift Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Danish Fungi 2020 - Not Just Another Image Recognition Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Advances in Information Retrieval, 2022

Business Document Information Extraction: Towards Practical Benchmarks.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

GLAMI-1M: A Multilingual Image-Text Fashion Dataset.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
A Deep Learning Method for Visual Recognition of Snake Species.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Fungi Recognition: A Practical Use Case.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Improving CNN Classifiers by Estimating Test-Time Priors.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Recognition of the Amazonian flora by InceptionNetworks with Test-time Class Prior Estimation.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Plant Recognition by Inception Networks with Test-time Class Prior Estimation.
Proceedings of the Working Notes of CLEF 2018, 2018

Plant Identification: Experts vs. Machines in the Era of Deep Learning - Deep Learning Techniques Challenge Flora Experts.
Proceedings of the Multimedia Tools and Applications for Environmental & Biodiversity Informatics, 2018

2017
Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Very Deep Residual Networks with MaxOut for Plant Identification in the Wild.
Proceedings of the Working Notes of CLEF 2016, 2016

2014
Fast Features Invariant to Rotation and Scale of Texture.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Texture-Based Leaf Identification.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Kernel-mapped histograms of multi-scale LBPs for tree bark recognition.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013


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