Janis Postels

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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
Fisher YuETH ZurichVerified email at 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
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
MENGYA LIUPhd Student, ETH ZurichVerified email at vision.ee.ethz.ch
Diego Martín ArroyoVerified email at google.com
Ren YangSenior Researcher at SenseTime, Dr. sc. ETH Zürich, MSc/BSc Beihang UniversityVerified email at sensetime.com
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

Janis Postels

PhD student at ETH

Verified email at ee.ethz.ch - Homepage

Machine Learning Deep Learning Uncertainty Estimation Compression


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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	124	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	46	2021
Implicit neural representations for image compression Y Strümpler, J Postels, R Yang, L Van Gool, F Tombari European Conference on Computer Vision, 2022	28	2022
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	27*	2020
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	21	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	20	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	11	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	5	2021
Unsupervised Template Warp Consistency for Implicit Surface Correspondences M Liu, A Chhatkuli, J Postels, LV Gool, F Tombari Computer Graphics Forum 42 (2), 77-87, 2023		2023
Appendix for Unsupervised Template Warp Consistency for Implicit Surface Correspondences M Liu, A Chhatkuli, J Postels, L Van Gool, F Tombari		2023
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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