Adam Pardyl
Scholar

Adam Pardyl

Google Scholar ID: vszbX_0AAAAJ
Jagiellonian University, IDEAS NCBR
Computer VisionEmbodied AIInterpretabilityDeep Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
75
 
H-index
4
 
i10-index
2
 
Publications
11
 
Co-authors
9
list available
Contact
Emailadam@pardyl.comCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
4 items
DisParQ: Self-Supervised Part Concepts for Interpretable Vision Foundation Models
2026
Cited
0
SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models
2026
Cited
0
FlySearch: Exploring how vision-language models explore
2025
Cited
0
AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients
2025
Cited
0
Resume
Background
  • Machine Learning Researcher, Software developer, Photography enthusiast.
Co-authors
7 total
Bartosz M Zielinski
Bartosz M Zielinski
Jagiellonian University
Dawid Rymarczyk, PhD
Dawid Rymarczyk, PhD
Jagiellonian University; Data Scientist, Ardigen
Tomasz Trzcinski
Tomasz Trzcinski
Warsaw University of Technology, Tooploox, IDEAS Research Institute
Grzegorz Rypeść
Grzegorz Rypeść
Warsaw University of Technology
Jan Olszewski
Jan Olszewski
Student, University of Warsaw
Maciej Wołczyk
Maciej Wołczyk
Google
Marek Cygan
Marek Cygan
University of Warsaw