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2020 – today
- 2024
[c19]Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski:
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CVPR 2024: 18868-18877- [c18]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. ECCV (2) 2024: 370-387 - [c17]Ana Stanescu, Peter Mohr, Franz Thaler, Mateusz Kozinski, Lucchas Ribeiro Skreinig, Dieter Schmalstieg, Denis Kalkofen:
Error Management for Augmented Reality Assembly Instructions. ISMAR 2024: 690-699 - [i18]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 abs/2403.11755 (2024) - [i17]Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski:
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CoRR abs/2403.14497 (2024) - 2023
- [j5]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): 10588-10595 (2023) - [c16]Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof:
Video Test-Time Adaptation for Action Recognition. CVPR 2023: 22952-22961 - [c15]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: 24152-24161 - [c14]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: 2839-2850 - [c13]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: 16663-16672 - [c12]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: 157-166 - [c11]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: 1-8 - [c10]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 - [i16]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 abs/2303.08914 (2023) - [i15]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 abs/2305.18287 (2023) - [i14]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 abs/2305.18953 (2023) - 2022
- [j4]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): 5401-5413 (2022) - [j3]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): 3675-3685 (2022) - [c9]Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua:
Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections. MICCAI (5) 2022: 591-601 - [i13]Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua:
Enforcing connectivity of 3D linear structures using their 2D projections. CoRR abs/2207.06832 (2022) - [i12]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 abs/2211.11432 (2022) - [i11]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 abs/2211.12870 (2022) - [i10]Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof:
Video Test-Time Adaptation for Action Recognition. CoRR abs/2211.15393 (2022) - 2021
- [i9]Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua:
Localized Persistent Homologies for more Effective Deep Learning. CoRR abs/2110.06295 (2021) - [i8]Doruk Öner, Leonardo Citraro, Mateusz Kozinski, Pascal Fua:
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. CoRR abs/2112.02781 (2021) - 2020
- [j2]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) - [j1]Agata Mosinska, Mateusz Kozinski, Pascal Fua:
Joint Segmentation and Path Classification of Curvilinear Structures. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1515-1521 (2020) - [c8]Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua:
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. ECCV (27) 2020: 224-240 - [c7]Leonardo Citraro, Mateusz Kozinski, Pascal Fua:
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images. ECCV (28) 2020: 703-719 - [i7]Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua:
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. CoRR abs/2007.09084 (2020) - [i6]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 abs/2009.07011 (2020)
2010 – 2019
- 2019
- [i5]Agata Mosinska, Mateusz Kozinski, Pascal Fua:
Joint Segmentation and Path Classification of Curvilinear Structures. CoRR abs/1905.03892 (2019) - [i4]Leonardo Citraro, Mateusz Kozinski, Pascal Fua:
Towards Reliable Evaluation of Road Network Reconstructions. CoRR abs/1911.12467 (2019) - 2018
- [c6]Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua:
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CVPR 2018: 3136-3145 - [c5]Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Learning to Segment 3D Linear Structures Using Only 2D Annotations. MICCAI (2) 2018: 283-291 - [i3]Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. CoRR abs/1811.10508 (2018) - 2017
- [i2]Mateusz Kozinski, Loïc Simon, Frédéric Jurie:
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. CoRR abs/1702.02382 (2017) - [i1]Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua:
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CoRR abs/1712.02190 (2017) - 2015
- [c4]Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet:
A MRF shape prior for facade parsing with occlusions. CVPR 2015: 2820-2828 - 2014
- [c3]Mateusz Kozinski, Guillaume Obozinski, Renaud Marlet:
Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. ACCV (4) 2014: 79-94 - [c2]Mateusz Kozinski, Renaud Marlet:
Image parsing with graph grammars and Markov Random Fields applied to facade analysis. WACV 2014: 729-736 - 2012
- [c1]David Ok, Mateusz Kozinski, Renaud Marlet, Nikos Paragios:
High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images. 3DIMPVT 2012: 128-135
Coauthor Index
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