Janis Postels

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	All	Since 2018
Citations	224	223
h-index	7	7
i10-index	6	6

140

105

201920202021202220233 19 64 124 12

Co-authors

Federico TombariGoogle, TU MunichVerified email at in.tum.de
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KUL&ETHVerified email at ethz.ch
Mattia SeguETH ZurichVerified email at ethz.ch
Tao SunETH ZürichVerified email at student.ethz.ch
Huseyin CoskunPhD Scholar, Technische Universität MünchenVerified email at tum.de
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
Francesco FerroniArgo AIVerified email at argo.ai
Fisher YuETH ZurichVerified email at ethz.ch
Yannick StrümplerGoogleVerified email at google.com
Hermann BlumETH ZürichVerified email at ethz.ch
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandVerified email at ethz.ch
Cesar CadenaSenior Scientist (tenured), ETH ZurichVerified email at ethz.ch
Diego Martín ArroyoVerified email at google.com
Ren YangETH Zürich, Beihang UniversityVerified email at ee.ethz.ch
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Riccardo SpezialettiPostdoc, University of BolognaVerified email at unibo.it
Ender KonukogluETH ZurichVerified email at vision.ee.ethz.ch
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzMunichVerified email at uni-bonn.de
Matthäus HeerMSc Physics, University of ZurichVerified email at uzh.ch
Xiaoran ChenPhD student, ETH ZurichVerified email at vision.ee.ethz.ch

Janis Postels

PhD student at ETH

Verified email at ee.ethz.ch - Homepage

Machine Learning Deep Learning Uncertainty Estimation Compression


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sampling-free epistemic uncertainty estimation using approximated variance propagation J Postels, F Ferroni, H Coskun, N Navab, F Tombari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	115	2019
Variational transformer networks for layout generation DM Arroyo, J Postels, F Tombari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	33	2021
The hidden uncertainty in a neural networks activations J Postels, H Blum, Y Strümpler, C Cadena, R Siegwart, L Van Gool, ... arXiv preprint arXiv:2012.03082, 2020	21*	2020
Implicit neural representations for image compression Y Strümpler, J Postels, R Yang, L Van Gool, F Tombari European Conference on Computer Vision, 2022	16	2022
On the practicality of deterministic epistemic uncertainty J Postels, M Segu, T Sun, L Van Gool, F Yu, F Tombari International Conference on Machine Learning, 2022	16	2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation T Sun, M Segu, J Postels, Y Wang, L Van Gool, B Schiele, F Tombari, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	10	2022
Go with the flows: Mixtures of normalizing flows for point cloud generation and reconstruction J Postels, M Liu, R Spezialetti, L Van Gool, F Tombari 2021 International Conference on 3D Vision (3DV), 1249-1258, 2021	9	2021
The ood blind spot of unsupervised anomaly detection M Heer, J Postels, X Chen, E Konukoglu, S Albarqouni Medical Imaging with Deep Learning, 286-300, 2021	4	2021
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows J Postels, M Danelljan, L Van Gool, F Tombari 2022 International Conference on 3D Vision (3DV), 2022		2022
On the Calibration of Deterministic Epistemic Uncertainty J Postels, M Segu, T Sun, L Van Gool, F Yu, F Tombari

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