Janis Postels

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 18

Top Topics

Image Compression

Inherent Uncertainty

Unsupervised Anomaly Detection

Top Venues

Publications

Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari
Unsupervised Template Warp Consistency for Implicit Surface Correspondences. Comput. Graph. Forum 42 (2) (2023)
Janis Postels, Yannick Strümpler, Klara Reichard, Luc Van Gool, Federico Tombari
3D Compression Using Neural Fields. CoRR (2023)
Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CVPR (2022)
Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. 3DV (2022)
Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari
On the Practicality of Deterministic Epistemic Uncertainty. ICML (2022)
Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CoRR (2022)
Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. CoRR (2022)
Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari
Implicit Neural Representations for Image Compression. ECCV (26) (2022)
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. 3DV (2021)
Diego Martín Arroyo, Janis Postels, Federico Tombari
Variational Transformer Networks for Layout Generation. CoRR (2021)
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. CoRR (2021)
Diego Martín Arroyo, Janis Postels, Federico Tombari
Variational Transformer Networks for Layout Generation. CVPR (2021)
Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari
Implicit Neural Representations for Image Compression. CoRR (2021)
Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari
On the Practicality of Deterministic Epistemic Uncertainty. CoRR (2021)
Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni
The OOD Blind Spot of Unsupervised Anomaly Detection. MIDL (2021)
Janis Postels, Hermann Blum, Cesar Cadena, Roland Siegwart, Luc Van Gool, Federico Tombari
Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space. CoRR (2020)
Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. ICCV (2019)
Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. CoRR (2019)