Mateusz Kozinski

Mateusz Kozinski

École Polytechnique Fédérale de Lausanne

H-index: 12

Europe-Switzerland

About Mateusz Kozinski

Mateusz Kozinski, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne,

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

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection

Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs

Lafter: Label-free tuning of zero-shot classifier using language and unlabeled image collections

Harnessing Deep Learning to Detect Bronchiolitis Obliterans Syndrome from Chest CT

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

Persistent homology with improved locality information for more effective delineation

Match, expand and improve: Unsupervised finetuning for zero-shot action recognition with language knowledge

Video test-time adaptation for action recognition

Mateusz Kozinski Information

University

Position

Scientist

Citations(all)

581

Citations(since 2020)

522

Cited By

184

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

14

i10Index(since 2020)

10

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Top articles of Mateusz Kozinski

Title

Journal

Author(s)

Publication Date

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection

arXiv preprint arXiv:2403.14497

Jakub Micorek

Horst Possegger

Dominik Narnhofer

Horst Bischof

Mateusz Kozinski

2024/3/21

Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs

arXiv preprint arXiv:2403.11755

M Jehanzeb Mirza

Leonid Karlinsky

Wei Lin

Sivan Doveh

Jakub Micorek

...

2024/3/18

Lafter: Label-free tuning of zero-shot classifier using language and unlabeled image collections

NeurIPS 2023; arXiv preprint arXiv:2305.18287

M Jehanzeb Mirza

Leonid Karlinsky

Wei Lin

Mateusz Kozinski

Horst Possegger

...

2023/5/29

Harnessing Deep Learning to Detect Bronchiolitis Obliterans Syndrome from Chest CT

medRxiv

Mateusz Kozinski

Doruk Oner

Jakub Gwizdala

Catherine Beigelman

Pascal Fua

...

2024

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

Stefan Leitner

M Jehanzeb Mirza

Wei Lin

Jakub Micorek

Marc Masana

...

2023/6/4

Persistent homology with improved locality information for more effective delineation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Doruk Oner

Adélie Garin

Mateusz Koziński

Kathryn Hess

Pascal Fua

2023/3/1

Match, expand and improve: Unsupervised finetuning for zero-shot action recognition with language knowledge

ICCV 2023; arXiv preprint arXiv:2303.08914

Wei Lin

Leonid Karlinsky

Nina Shvetsova

Horst Possegger

Mateusz Kozinski

...

2023/3/15

Video test-time adaptation for action recognition

CVPR 2023; arXiv preprint arXiv:2211.15393

Wei Lin

Muhammad Jehanzeb Mirza

Mateusz Kozinski

Horst Possegger

Hilde Kuehne

...

2022/11/24

Mate: Masked autoencoders are online 3d test-time learners

Inkyu Shin

Kuk-Jin Yoon

Jaesung Choe

In-So Kweon

Lin Wei

...

2023

State-Aware Configuration Detection for Augmented Reality Step-by-Step Tutorials

Ana Stanescu

Peter Mohr

Mateusz Kozinski

Shohei Mori

Dieter Schmalstieg

...

2023/10/16

Actmad: Activation matching to align distributions for test-time-training

CVPR 2023; arXiv preprint arXiv:2211.12870

Muhammad Jehanzeb Mirza

Pol Jané Soneira

Wei Lin

Mateusz Kozinski

Horst Possegger

...

2022/11/23

Enforcing connectivity of 3D linear structures using their 2D projections

Doruk Oner

Hussein Osman

Mateusz Koziński

Pascal Fua

2022/9/16

Generating LOD3 building models from structure-from-motion and semantic segmentation

Automation in Construction

Bryan G Pantoja-Rosero

Radhakrishna Achanta

Mateusz Kozinski

Pascal Fua

Fernando Perez-Cruz

...

2022/9/1

TOPO-Loss for continuity-preserving crack detection using deep learning

Construction and Building Materials

Bryan G Pantoja-Rosero

D Oner

Mateusz Kozinski

Radhakrishna Achanta

Pascal Fua

...

2022/8/15

Adjusting the ground truth annotations for connectivity-based learning to delineate

IEEE Transactions on Medical Imaging

Doruk Oner

Mateusz Koziński

Lenoardo Citraro

Pascal Fua

2022/7/21

Drainage canals in Southeast Asian peatlands increase carbon emissions

Agu Advances

Nathan C Dadap

Alison M Hoyt

Alexander R Cobb

Doruk Oner

Mateusz Kozinski

...

2021/3

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Doruk Oner

Mateusz Koziński

Leonardo Citraro

Nathan C Dadap

Alexandra G Konings

...

2021/4/21

Localized Persistent Homologies for more Effective Deep Learning

Doruk Oner

Adélie Garin

Mateusz Kozinski

Kathryn Hess

Pascal Fua

2021/10/6

Topoal: An adversarial learning approach for topology-aware road segmentation

Subeesh Vasu

Mateusz Kozinski

Leonardo Citraro

Pascal Fua

2020

Towards reliable evaluation of algorithms for road network reconstruction from aerial images

Leonardo Citraro

Mateusz Koziński

Pascal Fua

2020

See List of Professors in Mateusz Kozinski University(École Polytechnique Fédérale de Lausanne)