Mateusz Kozinski

43 papers A* 10A 1C 1Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation. CoRR Franz Thaler, Martin Urschler, Mateusz Kozinski, Matthias A. F. Gsell, Gernot Plank, Darko Stern
2024	A*	`conf`	Error Management for Augmented Reality Assembly Instructions. ISMAR Ana Stanescu, Peter Mohr, Franz Thaler, Mateusz Kozinski, Lucchas Ribeiro Skreinig, Dieter Schmalstieg, Denis Kalkofen
2024	A*	`conf`	MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CVPR Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski
2024	J	`jnl`	MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CoRR Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski
2024	J	`jnl`	Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs. CoRR Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger
2024	—	`conf`	Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs. ECCV (2) Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger
2023	A*	`conf`	ActMAD: Activation Matching to Align Distributions for Test-Time-Training. CVPR Muhammad Jehanzeb Mirza, Pol Jané-Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof
2023	A*	`conf`	LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. NeurIPS Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof
2023	J	`jnl`	LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. CoRR Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Mateusz Kozinski, Horst Possegger, Rogério Feris, Horst Bischof
2023	A*	`conf`	MATE: Masked Autoencoders are Online 3D Test-Time Learners. ICCV 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
2023	A*	`conf`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	Persistent Homology With Improved Locality Information for More Effective Delineation. IEEE Trans. Pattern Anal. Mach. Intell. Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua
2023	C	`conf`	Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. IV Stefan Leitner, Muhammad Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Kozinski, Horst Possegger, Horst Bischof
2023	J	`jnl`	Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. CoRR Stefan Leitner, Muhammad Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Kozinski, Horst Possegger, Horst Bischof
2023	A*	`conf`	State-Aware Configuration Detection for Augmented Reality Step-by-Step Tutorials. ISMAR Ana Stanescu, Peter Mohr, Mateusz Kozinski, Shohei Mori, Dieter Schmalstieg, Denis Kalkofen
2023	A*	`conf`	Video Test-Time Adaptation for Action Recognition. CVPR Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof
2022	J	`jnl`	ActMAD: Activation Matching to Align Distributions for Test-Time-Training. CoRR Muhammad Jehanzeb Mirza, Pol Jané-Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof
2022	J	`jnl`	Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. IEEE Trans. Medical Imaging Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
2022	—	`conf`	Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections. MICCAI (5) Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua
2022	J	`jnl`	Enforcing connectivity of 3D linear structures using their 2D projections. CoRR Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua
2022	J	`jnl`	MATE: Masked Autoencoders are Online 3D Test-Time Learners. CoRR 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
2022	J	`jnl`	Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. IEEE Trans. Pattern Anal. Mach. Intell. Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua
2022	J	`jnl`	Video Test-Time Adaptation for Action Recognition. CoRR Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof
2021	J	`jnl`	Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. CoRR Doruk Öner, Leonardo Citraro, Mateusz Kozinski, Pascal Fua
2021	J	`jnl`	Localized Persistent Homologies for more Effective Deep Learning. CoRR Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua
2020	J	`jnl`	Joint Segmentation and Path Classification of Curvilinear Structures. IEEE Trans. Pattern Anal. Mach. Intell. Agata Mosinska, Mateusz Kozinski, Pascal Fua
2020	J	`jnl`	Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. CoRR Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua
2020	—	`conf`	TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. ECCV (27) Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
2020	J	`jnl`	TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. CoRR Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
2020	—	`conf`	Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images. ECCV (28) Leonardo Citraro, Mateusz Kozinski, Pascal Fua
2020	J	`jnl`	Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. Medical Image Anal. Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
2019	J	`jnl`	Joint Segmentation and Path Classification of Curvilinear Structures. CoRR Agata Mosinska, Mateusz Kozinski, Pascal Fua
2019	J	`jnl`	Towards Reliable Evaluation of Road Network Reconstructions. CoRR Leonardo Citraro, Mateusz Kozinski, Pascal Fua
2018	A*	`conf`	Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CVPR Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua
2018	—	`conf`	Learning to Segment 3D Linear Structures Using Only 2D Annotations. MICCAI (2) Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
2018	J	`jnl`	Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. CoRR Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
2017	J	`jnl`	An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. CoRR Mateusz Kozinski, Loïc Simon, Frédéric Jurie
2017	J	`jnl`	Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CoRR Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua
2015	A*	`conf`	A MRF shape prior for facade parsing with occlusions. CVPR Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet
2014	—	`conf`	Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. ACCV (4) Mateusz Kozinski, Guillaume Obozinski, Renaud Marlet
2014	A	`conf`	Image parsing with graph grammars and Markov Random Fields applied to facade analysis. WACV Mateusz Kozinski, Renaud Marlet
2012	—	`conf`	High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images. 3DIMPVT David Ok, Mateusz Kozinski, Renaud Marlet, Nikos Paragios