Lars Doorenbos

According to our database, Lars Doorenbos authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

TRAFA: Anticipating User Actions to Reduce Errors in Procedural Tasks with Predictive Feedback.

Sassan Mokhtar, Lars Doorenbos, Fatemeh Jabbari, Marius Bock, Dominik R. Bach, Juergen Gall

CoRR, May, 2026

2025

EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses.

Enrico Pallotta, Sina Mokhtarzadeh Azar, Lars Doorenbos, Serdar Ozsoy, Umar Iqbal, Juergen Gall

CoRR, November, 2025

Video Panels for Long Video Understanding.

Lars Doorenbos, Federico Spurio, Juergen Gall

CoRR, September, 2025

Inferring geometry and material properties from Mueller matrices with machine learning.

Lars Doorenbos, C. H. Lucas Patty, Raphael Sznitman, Pablo Márquez-Neila

CoRR, August, 2025

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Hyperbolic Random Forests.

Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes

Trans. Mach. Learn. Res., 2024

Non-Linear Outlier Synthesis for Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 2024

Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models.

Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 2024

Continual Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 2024

SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants.

Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, Sean Huver, Mahdi Azizian, Ken Goldberg, Animesh Garg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Stochastic Segmentation with Conditional Categorical Diffusion Models.

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 2023

Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery.

Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., 2023

Stochastic Segmentation with Conditional Categorical Diffusion Models.

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection.

Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 2022

Data Invariants to Understand Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021