Lukáš Picek

University of West BohemiaFaculty of Applied SciencesCzechia

Office:

NTIS, Technická 8, 301 00 PilsenRoom UN525 | Map

Contact:

picekl@kky.zcu.cz

lukaspicek@gmail.com

Projects

Danish Svampe Atlas (Lead Investigator)

Developing Rest API service for automatic fungi recognition.
Fine-tuning of the lightweight MobileNet-V3 custom architecture.
In close cooperation with Czech Technical University, Danish Mycological Society, Gbif.org and Google.
iOS App | Android App | Web App | Models | Publications: 1, 2, 3

Snake Species Recognition (Lead Investigator)

A platform for fast and reliable snake species recognition using AI and herpetologists..Developing REST API service and Web Application for automatic snake species recognition. Curatingnovel open-source benchmark dataset and organizing ML competitions
In close cooperation with Florida Gulf Coast University, University of Geneva, Instutute of Global Health, Médecins Sans Frontières and many more.
About Project | Demo App | Publications: 1

Varroa Destructor Detection (Lead Investigator)

Developing Rest API service for automatic Varroa destructor detection
In cooperation with Czech Academy of Sciences, ProBee.cz and IBM
About Project | Publications: 1

Carnivore ID (Lead Investigator)

Research & Development in the topic of Lynx identification.
In close cooperation with Mendel University in Brno, Bavarian Forest National Park, Leibniz-Institute for Zoo and Wildlife Research and many others.
About Project

DiDYMOS - Dynamic digital street model for the usage of autonomous mobility in Pilsen

Automatic Data extraction for digital street model tailored for autonomous trams
In cooperation with Škoda Transportation, Škoda Digital, CEDA Maps, INTENS Corporation, and ČVUT
About Project

Selected Publications

Monitoring of Varroa Infestation Rate in Beehives: A Simple AI ApproachL Picek, A Novozamsky, RC Frydrychova, B Zitova, P MachIEEE ICIP | 2022 | URL

An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetologyI Bolon, L Picek, AM Durso, G Alcoba, F Chappuis, R Ruiz de CastañedaPLOS - Neglected Tropical Diseases | 2022 | URL

Danish fungi 2020 — Not just another image recognition datasetPicek, L., Šulc, M., Matas, J., Jeppesen, T. S., Heilmann-Clausen, J., Læssøe, T., & Frøslev, T.CVF WACV | 2022 | URL

Automatic Fungi Recognition: Deep Learning Meets MycologyL Picek, M Šulc, J Matas, J Heilmann-Clausen, TS Jeppesen, E LindMDPI SENSORS | 2022 | URL

Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddingsL Picek, M Šulc, Y Patel, J MatasFrontiers in Plant Science | 2022 | URL

Fungi Recognition: A Practical Use CaseM. Šulc, L. Picek, J. Matas, T. Jeppesen, J. Heilmann-ClausenCVF WACV | 2020 | URL

Recognition of the Amazonian Flora by Inception Networks with Test-time Class Prior EstimationL. Picek, M. Šulc, J. MatasCLEF | 2019 | URL

Plant Recognition by Inception Networks with Test-time Class Prior EstimationM. Šulc, L. Picek, J. MatasCLEF | 2018 | URL

Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of TricksL.Picek, A. Říha, A. ZitaCLEF | 2020 | URL

Mastering Large Scale Multi-label Image Recognition with high efficiency over Camera trap imagesM. Valan, L. PicekCVPR - FGVCW | 2020 | URL

Competitions & Challenges

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]
1st place in the FGVCx Flower Classification and FGVCx Fungi Classification. [2019]

2nd place in the FGVCx iDesigner. [2019]

1st place in the LifeCLEF 2019 plant identification challenge. [2019]

1st place in the FGVCx Flower Classification and FGVCx Fungi Classification. [2018]

1st place in the ExpertLifeCLEF 2018 plant identification challenge. [2018]

Media

[ENG] - Meet the winners of the HaKuna Ma-Data challenge - URL
[ENG] - Doctors Without Borders to field test Czech researcher’s snakebite app - URL
[ENG] - Google AI Blog Announcing the 7th Fine-Grained Visual Categorization Workshop - URL
[CZ] - Čeští vědci vyvinuli software pro mobilní aplikaci, která rozeznává houby - URL
[CZ] - Student ZČU v Plzni Lukáš Picek sklízí mezinárodní úspěchy - URL
[CZ] - Česká umělá inteligence pozná houby stejně dobře jako nejlepší experti - URL

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