Janis Postels

According to our database, Janis Postels authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Epistemic Uncertainty Quantification and 3D Point Cloud Generation Using Explicit Generative Models.

Janis Postels

PhD thesis, 2024

Self-supervised Shape Completion via Involution and Implicit Correspondences.

Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Unsupervised Template Warp Consistency for Implicit Surface Correspondences.

Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari

Comput. Graph. Forum, May, 2023

3D Compression Using Neural Fields.

Janis Postels, Yannick Strümpler, Klara Reichard, Luc Van Gool, Federico Tombari

CoRR, 2023

2022

On the Practicality of Deterministic Epistemic Uncertainty.

Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari

Proceedings of the International Conference on Machine Learning, 2022

Implicit Neural Representations for Image Compression.

Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2022, 2022

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.

Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ManiFlow: Implicitly Representing Manifolds with Normalizing Flows.

Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari

Proceedings of the International Conference on 3D Vision, 2022

2021

On the Practicality of Deterministic Epistemic Uncertainty.

Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari

CoRR, 2021

The OOD Blind Spot of Unsupervised Anomaly Detection.

Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Variational Transformer Networks for Layout Generation.

Diego Martín Arroyo, Janis Postels, Federico Tombari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction.

Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari

Proceedings of the International Conference on 3D Vision, 2021

2020

Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space.

Janis Postels, Hermann Blum, Cesar Cadena, Roland Siegwart, Luc Van Gool, Federico Tombari

CoRR, 2020

2019

Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation.

Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019