Janis Postels

21 papers A* 4Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — —
Epistemic Uncertainty Quantification and 3D Point Cloud Generation Using Explicit Generative Models.
Janis Postels
2024 — conf
Self-supervised Shape Completion via Involution and Implicit Correspondences.
ECCV (58)
Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari
2024 J jnl
Self-supervised Shape Completion via Involution and Implicit Correspondences.
CoRR
Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari
2023 J jnl
3D Compression Using Neural Fields.
CoRR
Janis Postels, Yannick Strümpler, Klara Reichard, Luc Van Gool, Federico Tombari
2023 J jnl
Unsupervised Template Warp Consistency for Implicit Surface Correspondences.
Comput. Graph. Forum
Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari
2022 — conf
Implicit Neural Representations for Image Compression.
ECCV (26)
Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari
2022 — conf
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows.
3DV
Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari
2022 J jnl
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows.
CoRR
Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari
2022 A* conf
On the Practicality of Deterministic Epistemic Uncertainty.
ICML
Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari
2022 A* conf
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.
CVPR
Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
2022 J jnl
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.
CoRR
Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
2021 — conf
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction.
3DV
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari
2021 J jnl
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction.
CoRR
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari
2021 J jnl
Implicit Neural Representations for Image Compression.
CoRR
Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari
2021 J jnl
On the Practicality of Deterministic Epistemic Uncertainty.
CoRR
Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari
2021 — conf
The OOD Blind Spot of Unsupervised Anomaly Detection.
MIDL
Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni
2021 A* conf
Variational Transformer Networks for Layout Generation.
CVPR
Diego Martín Arroyo, Janis Postels, Federico Tombari
2021 J jnl
Variational Transformer Networks for Layout Generation.
CoRR
Diego Martín Arroyo, Janis Postels, Federico Tombari
2020 J jnl
Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space.
CoRR
Janis Postels, Hermann Blum, Cesar Cadena, Roland Siegwart, Luc Van Gool, Federico Tombari
2019 A* conf
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation.
ICCV
Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari
2019 J jnl
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation.
CoRR
Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari