Lars Doorenbos

21 papers A* 1A 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses.
CoRR
Enrico Pallotta, Sina Mokhtarzadeh Azar, Lars Doorenbos, Serdar Ozsoy, Umar Iqbal, Juergen Gall
2025 J jnl
Inferring geometry and material properties from Mueller matrices with machine learning.
CoRR
Lars Doorenbos, C. H. Lucas Patty, Raphael Sznitman, Pablo Márquez-Neila
2025 — conf
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection.
MICCAI (6)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2025 J jnl
Video Panels for Long Video Understanding.
CoRR
Lars Doorenbos, Federico Spurio, Juergen Gall
2024 J jnl
Continual Unsupervised Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 J jnl
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models.
CoRR
Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila
2024 J jnl
Hyperbolic Random Forests.
Trans. Mach. Learn. Res.
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
2024 J jnl
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 — conf
Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection.
ECCV (52)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 J jnl
Non-Linear Outlier Synthesis for Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 A conf
SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants.
IROS
Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, Sean Huver, Mahdi Azizian, Ken Goldberg, Animesh Garg
2024 J jnl
SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants.
CoRR
Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, Sean Huver, Mahdi Azizian, Ken Goldberg, Animesh Garg
2023 J jnl
Hyperbolic Random Forests.
CoRR
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
2023 A* conf
Stochastic Segmentation with Conditional Categorical Diffusion Models.
ICCV
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila
2023 J jnl
Stochastic Segmentation with Conditional Categorical Diffusion Models.
CoRR
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila
2023 J jnl
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery.
Int. J. Comput. Assist. Radiol. Surg.
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
2023 J jnl
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery.
CoRR
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
2022 — conf
Data Invariants to Understand Unsupervised Out-of-Distribution Detection.
ECCV (31)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2022 J jnl
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection.
CoRR
Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila
2021 J jnl
Data Invariants to Understand Unsupervised Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2021 — conf
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes.
MIDOG/MOOD/Learn2Reg@MICCAI
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila