Hi!
I am a computer vision and machine learning PhD student at the Czech Technical University in Prague (CTU), Czech Republic. My supervisor is professor Jiri Matas.
My research mostly focuses on learning with limited supervision, most recently in the context of image segmentation and test-time adaptation. Previously, I worked on model-assisted labelling for visual inspection of bridges and on scene-text detection and recognition and other document-analysis related topics and.
Apart from VRG, I interned at the Technion (Chaim Baskin, Alex Bronstein), IBM Research Zurich (Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi) and the CVC at UAB (Dimosthenis Karatzas, Lluis Gomez).
CV: PDF
News
15/9/23: I will be attending ICCV 2023 in Paris, let me know if you want to talk!
1/7/23: I have started a PhD in computer vision.
16/11/22: I was awarded the Josef Hlavka Award by The Foundation of Josef, Marie and Zdeňka Hlávka, the oldest Czech foundation which supports outstanding students and graduates.
24/10/22: We got the Best Paper Award for our work Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures!
Publications
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Single Image Test-Time Adaptation for Segmentation
Klara Janouskova, Tamir Shor, Chaim Baskin, Jiri Matas
Arxiv pre-print
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Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications
Mattia Rigotti, Diego Antognini, Roy Assaf, Kagan Bakirci, Thomas Frick, Ioana Giurgiu, Klára Janoušková, Filip Janicki, Husam Jubran, Cristiano Malossi, Alexandru Meterez, Florian Scheidegger
EUROSTRUCT 2023
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Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures
Klara Janouskova, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi
ECCV 2022, Computer Vision for Civil and Infrastructure Engineering Workshop (Best Paper Award)
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Text Recognition - Real World Data and Where to Find Them
Klára Janoušková, Jiri Matas, Lluis Gomez, Dimosthenis Karatzas
ICPR2020