High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images. - David Ok; Mateusz Kozinski; Renaud Marlet; Nikos Paragios (3DIMPVT, 2012)

Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. - Mateusz Kozinski; Guillaume Obozinski; Renaud Marlet (ACCV (4), 2014)

Image parsing with graph grammars and Markov Random Fields applied to facade analysis. - Mateusz Kozinski; Renaud Marlet (WACV, 2014)

A MRF shape prior for facade parsing with occlusions. - Mateusz Kozinski; Raghudeep Gadde; Sergey Zagoruyko; Guillaume Obozinski; Renaud Marlet (CVPR, 2015)

An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks. - Mateusz Kozinski; Loïc Simon; Frédéric Jurie (CoRR, 2017)

Beyond the Pixel-Wise Loss for Topology-Aware Delineation. - Agata Mosinska; Pablo Márquez-Neila; Mateusz Kozinski; Pascal Fua (CVPR, 2018)

Learning to Segment 3D Linear Structures Using Only 2D Annotations. - Mateusz Kozinski; Agata Mosinska; Mathieu Salzmann; Pascal Fua (MICCAI (2), 2018)

Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. - Mateusz Kozinski; Agata Mosinska; Mathieu Salzmann; Pascal Fua (CoRR, 2018)

Towards Reliable Evaluation of Road Network Reconstructions. - Leonardo Citraro; Mateusz Kozinski; Pascal Fua (CoRR, 2019)

Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images. - Leonardo Citraro; Mateusz Kozinski; Pascal Fua (ECCV (28), 2020)

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. - Subeesh Vasu; Mateusz Kozinski; Leonardo Citraro; Pascal Fua (ECCV (27), 2020)

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. - Mateusz Kozinski; Agata Mosinska; Mathieu Salzmann; Pascal Fua (Medical Image Anal., 2020)

Joint Segmentation and Path Classification of Curvilinear Structures. - Agata Mosinska; Mateusz Kozinski; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Localized Persistent Homologies for more Effective Deep Learning. - Doruk Öner; Adélie Garin; Mateusz Kozinski; Kathryn Hess; Pascal Fua (CoRR, 2021)

Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections. - Doruk Öner; Hussein Osman; Mateusz Kozinski; Pascal Fua (MICCAI (5), 2022)

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. - Doruk Öner; Mateusz Kozinski; Leonardo Citraro; Nathan C. Dadap; Alexandra Georges Konings; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. - Doruk Öner; Mateusz Kozinski; Leonardo Citraro; Pascal Fua (IEEE Trans. Medical Imaging, 2022)

Video Test-Time Adaptation for Action Recognition. - Wei Lin 019; Muhammad Jehanzeb Mirza; Mateusz Kozinski; Horst Possegger; Hilde Kuehne; Horst Bischof (CVPR, 2023)

ActMAD: Activation Matching to Align Distributions for Test-Time-Training. - Muhammad Jehanzeb Mirza; Pol Jané-Soneira; Wei Lin 019; Mateusz Kozinski; Horst Possegger; Horst Bischof (CVPR, 2023)

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. - Wei Lin 019; Leonid Karlinsky; Nina Shvetsova; Horst Possegger; Mateusz Kozinski; Rameswar Panda; Rogério Feris; Hilde Kuehne; Horst Bischof (ICCV, 2023)

MATE: Masked Autoencoders are Online 3D Test-Time Learners. - Muhammad Jehanzeb Mirza; Inkyu Shin; Wei Lin 019; Andreas Schriebl; Kunyang Sun; Jaesung Choe; Mateusz Kozinski; Horst Possegger; In So Kweon; Kuk-Jin Yoon; Horst Bischof (ICCV, 2023)

State-Aware Configuration Detection for Augmented Reality Step-by-Step Tutorials. - Ana Stanescu 003; Peter Mohr; Mateusz Kozinski; Shohei Mori; Dieter Schmalstieg; Denis Kalkofen (ISMAR, 2023)

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. - Stefan Leitner; Muhammad Jehanzeb Mirza; Wei Lin 019; Jakub Micorek; Marc Masana; Mateusz Kozinski; Horst Possegger; Horst Bischof (IV, 2023)

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. - Muhammad Jehanzeb Mirza; Leonid Karlinsky; Wei Lin 019; Horst Possegger; Mateusz Kozinski; Rogério Feris; Horst Bischof (NeurIPS, 2023)

Persistent Homology With Improved Locality Information for More Effective Delineation. - Doruk Öner; Adélie Garin; Mateusz Kozinski; Kathryn Hess; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. - Jakub Micorek; Horst Possegger; Dominik Narnhofer; Horst Bischof; Mateusz Kozinski (CVPR, 2024)

Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs. - Muhammad Jehanzeb Mirza; Leonid Karlinsky; Wei Lin 019; Sivan Doveh; Jakub Micorek; Mateusz Kozinski; Hilde Kuehne; Horst Possegger (ECCV (2), 2024)

Error Management for Augmented Reality Assembly Instructions. - Ana Stanescu 003; Peter Mohr; Franz Thaler; Mateusz Kozinski; Lucchas Ribeiro Skreinig; Dieter Schmalstieg; Denis Kalkofen (ISMAR, 2024)