Mateusz Kozinski

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 35

Top Topics

Kolmogorov Smirnov

Annotation Effort

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CoRR (2024)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs. CoRR (2024)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Mateusz Kozinski, Horst Possegger, Rogério Feris, Horst Bischof
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. CoRR (2023)
Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV (2023)
Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof
MATE: Masked Autoencoders are Online 3D Test-Time Learners. ICCV (2023)
Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR (2023)
Muhammad Jehanzeb Mirza, Pol Jané-Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof
ActMAD: Activation Matching to Align Distributions for Test-Time-Training. CVPR (2023)
Stefan Leitner, Muhammad Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Kozinski, Horst Possegger, Horst Bischof
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. CoRR (2023)
Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof
Video Test-Time Adaptation for Action Recognition. CVPR (2023)
Stefan Leitner, Muhammad Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Kozinski, Horst Possegger, Horst Bischof
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. IV (2023)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. NeurIPS (2023)
Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua
Persistent Homology With Improved Locality Information for More Effective Delineation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Ana Stanescu, Peter Mohr, Mateusz Kozinski, Shohei Mori, Dieter Schmalstieg, Denis Kalkofen
State-Aware Configuration Detection for Augmented Reality Step-by-Step Tutorials. ISMAR (2023)
Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. IEEE Trans. Medical Imaging 41 (12) (2022)
Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua
Enforcing connectivity of 3D linear structures using their 2D projections. CoRR (2022)
Muhammad Jehanzeb Mirza, Pol Jané-Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof
ActMAD: Activation Matching to Align Distributions for Test-Time-Training. CoRR (2022)
Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof
Video Test-Time Adaptation for Action Recognition. CoRR (2022)
Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Horst Possegger, Mateusz Kozinski, In So Kweon, Kuk-Jin Yoon, Horst Bischof
MATE: Masked Autoencoders are Online 3D Test-Time Learners. CoRR (2022)
Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua
Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections. MICCAI (5) (2022)
Doruk Öner, Leonardo Citraro, Mateusz Kozinski, Pascal Fua
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. CoRR (2021)
Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua
Localized Persistent Homologies for more Effective Deep Learning. CoRR (2021)
Leonardo Citraro, Mateusz Kozinski, Pascal Fua
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images. ECCV (28) (2020)
Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. CoRR (2020)
Agata Mosinska, Mateusz Kozinski, Pascal Fua
Joint Segmentation and Path Classification of Curvilinear Structures. IEEE Trans. Pattern Anal. Mach. Intell. 42 (6) (2020)
Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. ECCV (27) (2020)
Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. Medical Image Anal. 60 (2020)
Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. CoRR (2020)
Leonardo Citraro, Mateusz Kozinski, Pascal Fua
Towards Reliable Evaluation of Road Network Reconstructions. CoRR (2019)
Agata Mosinska, Mateusz Kozinski, Pascal Fua
Joint Segmentation and Path Classification of Curvilinear Structures. CoRR (2019)
Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
Learning to Segment 3D Linear Structures Using Only 2D Annotations. MICCAI (2) (2018)
Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CVPR (2018)
Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. CoRR (2018)
Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CoRR (2017)
Mateusz Kozinski, Loïc Simon, Frédéric Jurie
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. CoRR (2017)
Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet
A MRF shape prior for facade parsing with occlusions. CVPR (2015)
Mateusz Kozinski, Renaud Marlet
Image parsing with graph grammars and Markov Random Fields applied to facade analysis. WACV (2014)
Mateusz Kozinski, Guillaume Obozinski, Renaud Marlet
Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. ACCV (4) (2014)
David Ok, Mateusz Kozinski, Renaud Marlet, Nikos Paragios
High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images. 3DIMPVT (2012)