Bartosz M Zielinski

About Bartosz M Zielinski

Bartosz M Zielinski, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at Uniwersytet Jagiellonski, specializes in the field of Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Divide and not forget: Ensemble of selectively trained experts in Continual Learning

Decoding phenotypic screening: A comparative analysis of image representations

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale

Deep learning models capture histological disease activity in Crohn’s disease and ulcerative colitis with high fidelity

Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations

Augmentation-aware self-supervised learning with guided projector

Protoseg: Interpretable semantic segmentation with prototypical parts

Active visual exploration based on attention-map entropy

Bartosz M Zielinski Information

University

Position

___

Citations(all)

943

Citations(since 2020)

745

Cited By

344

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

24

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Bartosz M Zielinski Skills & Research Interests

Computer Vision

Top articles of Bartosz M Zielinski

Title

Journal

Author(s)

Publication Date

Divide and not forget: Ensemble of selectively trained experts in Continual Learning

arXiv preprint arXiv:2401.10191

Grzegorz Rypeść

Sebastian Cygert

Valeriya Khan

Tomasz Trzciński

Bartosz Zieliński

...

2024/1/18

Decoding phenotypic screening: A comparative analysis of image representations

Computational and Structural Biotechnology Journal

Adriana Borowa

Dawid Rymarczyk

Marek Żyła

Maciej Kańdula

Ana Sánchez-Fernández

...

2024/12/1

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale

arXiv preprint arXiv:2404.03482

Adam Pardyl

Michał Wronka

Maciej Wołczyk

Kamil Adamczewski

Tomasz Trzciński

...

2024/4/4

Deep learning models capture histological disease activity in Crohn’s disease and ulcerative colitis with high fidelity

Journal of Crohn's and Colitis

Dawid Rymarczyk

Weiwei Schultz

Adriana Borowa

Joshua R Friedman

Tomasz Danel

...

2024/4/1

Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations

Proceedings of the AAAI Conference on Artificial Intelligence

Mikołaj Sacha

Bartosz Jura

Dawid Rymarczyk

Łukasz Struski

Jacek Tabor

...

2024/3/24

Augmentation-aware self-supervised learning with guided projector

arXiv preprint arXiv:2306.06082

Marcin Przewięźlikowski

Mateusz Pyla

Bartosz Zieliński

Bartłomiej Twardowski

Jacek Tabor

...

2023/5/31

Protoseg: Interpretable semantic segmentation with prototypical parts

Mikołaj Sacha

Dawid Rymarczyk

Łukasz Struski

Jacek Tabor

Bartosz Zieliński

2023

Active visual exploration based on attention-map entropy

arXiv preprint arXiv:2303.06457

Adam Pardyl

Grzegorz Rypeść

Grzegorz Kurzejamski

Bartosz Zieliński

Tomasz Trzciński

2023/3/11

Token Recycling for Efficient Sequential Inference with Vision Transformers

arXiv preprint arXiv:2311.15335

Jan Olszewski

Dawid Rymarczyk

Piotr Wójcik

Mateusz Pach

Bartosz Zieliński

2023/11/26

SONGs: Self-Organizing Neural Graphs

Łukasz Struski

Tomasz Danel

Marek Śmieja

Jacek Tabor

Bartosz Zieliński

2023

Visual probing: Cognitive framework for explaining self-supervised image representations

IEEE Access

Witold Oleszkiewicz

Dominika Basaj

Igor Sieradzki

Michał Górszczak

Barbara Rychalska

...

2023/2/6

Augmentation-aware Self-Supervised Learning with Conditioned Projector

arXiv preprint arXiv:2306.06082

Marcin Przewięźlikowski

Mateusz Pyla

Bartosz Zieliński

Bartłomiej Twardowski

Jacek Tabor

...

2023/5/31

ICICLE: interpretable class incremental continual

Dawid Rymarczyk

Joost van de Weijer

Bartosz Zieliński

Bartłomiej Twardowski

2023

ProPML: Probability Partial Multi-label Learning

Łukasz Struski

Adam Pardyl

Jacek Tabor

Bartosz Zieliński

2023/10/9

CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer

Adam Pardyl

Dawid Rymarczyk

Joanna Jaworek-Korjakowska

Dariusz Kucharski

Andrzej Brodzicki

...

2023

Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers

arXiv preprint arXiv:2309.13353

Adam Pardyl

Grzegorz Kurzejamski

Jan Olszewski

Tomasz Trzciński

Bartosz Zieliński

2023/9/23

Icicle: Interpretable class incremental continual learning

Dawid Rymarczyk

Joost van de Weijer

Bartosz Zieliński

Bartłomiej Twardowski

2023/7/23

Protomil: multiple instance learning with prototypical parts for whole-slide image classification

ECML PKDD 2022

Dawid Rymarczyk

Adam Pardyl

Jarosław Kraus

Aneta Kaczyńska

Marek Skomorowski

...

2022

Propall: Probabilistic partial label learning

arXiv preprint arXiv:2208.09931

Łukasz Struski

Jacek Tabor

Bartosz Zieliński

2022/8/21

Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?

Witold Oleszkiewicz

Dominika Basaj

Tomasz Trzciński

Bartosz Zieliński

2022/6/15

See List of Professors in Bartosz M Zielinski University(Uniwersytet Jagiellonski)