Lukáš Picek
Scholar

Lukáš Picek

Google Scholar ID: SBifPtYAAAAJ
INRIA & University of West Bohemia
Computer Vision
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
946
 
H-index
18
 
i10-index
28
 
Publications
20
 
Co-authors
0
 
Contact
Emaillukaspicek@gmail.comCVOpen ↗LinkedInOpen ↗
Publications
2 items
DINOv3 as a Frozen Encoder for CRPS-Oriented Probabilistic Rainfall Nowcasting
2025
Cited
0
FungiTastic: A multi-modal dataset and benchmark for image categorization
arXiv.org · 2024
Cited
1
Resume (English only)
Academic Achievements
  • - Published paper 'Monitoring of Varroa Infestation Rate in Beehives: A Simple AI Approach' in 2022
  • - Published paper 'An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology' in 2022
  • - Published paper 'Danish fungi 2020 — Not just another image recognition dataset' in 2022
  • - Published paper 'Automatic Fungi Recognition: Deep Learning Meets Mycology' in 2022
  • - Published paper 'Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings' in 2022
  • - Published paper 'Fungi Recognition: A Practical Use Case' in 2020
  • - Published paper 'Recognition of the Amazonian Flora by Inception Networks with Test-time Class Prior Estimation' in 2019
  • - Published paper 'Plant Recognition by Inception Networks with Test-time Class Prior Estimation' in 2018
  • - Published paper 'Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks' in 2020
  • - Published paper 'Mastering Large Scale Multi-label Image Recognition with high efficiency over Camera trap images' in 2020
  • - 1st place in the ImageCLEFdrawnUI Challenge (2021)
  • - 1st place in the Crop Disease recognition - ICLR Computer Vision for Agriculture Workshop (2020)
  • - 1st place in the Hakuna Ma-Data recognition challenge sponsored by Microsoft AI for Earth (2020)
  • - 1st place in the ImageCLEFcoral Challenge (2020)
  • - 1st place in the ImageCLEFdrawnUI Challenge (2020)
Research Experience
  • - Lead Investigator of Danish Fungi Atlas project, developing REST API service for automatic fungi recognition.
  • - Lead Investigator of Snake Species Recognition platform, developing REST API service and Web Application for automatic snake species recognition.
  • - Lead Investigator of Varroa Destructor Detection project, developing REST API service for automatic Varroa destructor detection.
  • - Lead Investigator of Carnivore ID project, Research & Development in the topic of Lynx identification.
  • - Participant in DiDYMOS project, Automatic Data extraction for digital street model tailored for autonomous trams in Pilsen.
Education
  • No detailed educational background information provided.
Background
  • Research interests include automatic recognition of fungi, snake species, and bee parasites. Has in-depth research in the field of artificial intelligence and image recognition.
Miscellany
  • No personal interests or hobbies information provided.
Co-authors
0 total
Co-authors: 0 (list not available)