Mateusz Kozinski

Orcid: 0000-0002-3187-518X

According to our database1, Mateusz Kozinski authored at least 27 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection.
CoRR, 2024

Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs.
CoRR, 2024

2023
Persistent Homology With Improved Locality Information for More Effective Delineation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

State-Aware Configuration Detection for Augmented Reality Step-by-Step Tutorials.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2023

MATE: Masked Autoencoders are Online 3D Test-Time Learners.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ActMAD: Activation Matching to Align Distributions for Test-Time-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video Test-Time Adaptation for Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate.
IEEE Trans. Medical Imaging, 2022

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Localized Persistent Homologies for more Effective Deep Learning.
CoRR, 2021

2020
Joint Segmentation and Path Classification of Curvilinear Structures.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures.
Medical Image Anal., 2020

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Towards Reliable Evaluation of Road Network Reconstructions.
CoRR, 2019

2018
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation.
CoRR, 2018

Learning to Segment 3D Linear Structures Using Only 2D Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Beyond the Pixel-Wise Loss for Topology-Aware Delineation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks.
CoRR, 2017

2015
A MRF shape prior for facade parsing with occlusions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Image parsing with graph grammars and Markov Random Fields applied to facade analysis.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming.
Proceedings of the Computer Vision - ACCV 2014, 2014

2012
High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012


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