Hi!

I am a second year computer vision and machine learning PhD student at the Czech Technical University in Prague (CTU), Czech Republic. My supervisor is professor Jiri Matas.

The main topic of my PhD explores leveraging recent advances in zero-shot segmentation to improve recognition accuracy and robustness. I am also working on fine-grained classification of fungi. Previously, my research focused on learning with limited supervision in the following areas: image segmentation and test-time adaptation, model-assisted labelling for visual inspection of bridges and scene-text detection and recognition.

I am teaching labs for the ‘Machine learning and patter recognition’ course at CTU and I co-supervise multiple bsc/msc/high-schoold students.

During my undergraduate studies, 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

  • November 02, 2024: I was selected as one of the top reviewers for NeuRIPS2024
  • September 15, 2023: I will be attending ICCV 2023 in Paris, let me know if you want to talk!
  • July 01, 2023: I have started a PhD in computer vision.

Publications

<p><strong>Segment to Recognize Robustly - Enhancing Recognition by Image Decomposition</strong></p>

Segment to Recognize Robustly - Enhancing Recognition by Image Decomposition

Klara Janouskova, Cristian Gavrus, Jiri Matas

arXiv
WWW
<p><strong>FungiTastic: A Multi-modal Dataset and Benchmark for Image Categorization</strong></p>

FungiTastic: A Multi-modal Dataset and Benchmark for Image Categorization

Lukas Picek, Klara Janouskova, Milan Sulc, Jiri Matas

arXiv
PDF | GitHub
<p><strong>Single Image Test-Time Adaptation for Segmentation</strong></p>

Single Image Test-Time Adaptation for Segmentation

Klara Janouskova, Tamir Shor, Chaim Baskin, Jiri Matas

TMLR 2024
PDF | GitHub
<p><strong>Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications</strong></p>

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
PDF
<p><strong>Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures</strong></p>

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)
PDF
<p><strong>Text Recognition - Real World Data and Where to Find Them</strong></p>

Text Recognition - Real World Data and Where to Find Them

Klára Janoušková, Jiri Matas, Lluis Gomez, Dimosthenis Karatzas

ICPR2020
PDF | GitHub