Timo Rehfeld (Scharwächter)

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Stefan RothProfessor of Computer Science, TU DarmstadtDirección de correo verificada de visinf.tu-darmstadt.de
Markus EnzweilerProfessor of Computer Science, Esslingen University of Applied SciencesDirección de correo verificada de hs-esslingen.de
Marius CordtsMercedes-Benz AG R&D - Automated DrivingDirección de correo verificada de mercedes-benz.com
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusDirección de correo verificada de mpi-inf.mpg.de
Rodrigo BenensonResearch scientist at GoogleDirección de correo verificada de google.com
Mohamed OmranMax Planck Institute for InformaticsDirección de correo verificada de mpi-inf.mpg.de
Sebastian RamosCEO & Co-Founder @ TensoreyeDirección de correo verificada de tensoreye.de
David PfeifferZoox IncDirección de correo verificada de dltmail.de
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftDirección de correo verificada de inf.ethz.ch
Lukas SchneiderDirección de correo verificada de schneiderdt.de
J. Marius ZöllnerProfessor at Karlsruhe Institute of Technology (KIT), Director at Forschungszentrum Informatik (FZI)Dirección de correo verificada de fzi.de
Michael WeberSenior ScientistDirección de correo verificada de fzi.de
Florian PiewakMercedes-Benz AG, Daimler AG, Karlsruhe Institut of Technology (KIT)Dirección de correo verificada de mercedes-benz.com
Stefan GehrigDistinguished Scientist, Mercedes Benz AG, Lecturer Cooperate State University StuttgartDirección de correo verificada de daimler.com
Rudolf MesterNTNU Trondheim, NorwayDirección de correo verificada de ntnu.no

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Timo Rehfeld (Scharwächter)

Mercedes-Benz Research & Development North America

Dirección de correo verificada de daimler.com

Scene Labeling Computer Vision Machine Learning Real-Time Algorithms Sensor Fusion


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The cityscapes dataset for semantic urban scene understanding M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016	14216	2016
The cityscapes dataset M Cordts, M Omran, S Ramos, T Scharwächter, M Enzweiler, R Benenson, ... CVPR Workshop on the Future of Datasets in Vision 2, 1, 2015	441	2015
Efficient multi-cue scene segmentation T Scharwächter, M Enzweiler, U Franke, S Roth German Conference on Pattern Recognition, 435-445, 2013	136	2013
Semantic stixels: Depth is not enough L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ... 2016 IEEE Intelligent Vehicles Symposium (IV), 110-117, 2016	110	2016
Stixmantics: A medium-level model for real-time semantic scene understanding T Scharwächter, M Enzweiler, U Franke, S Roth Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	79	2014
The stixel world: A medium-level representation of traffic scenes M Cordts, T Rehfeld, L Schneider, D Pfeiffer, M Enzweiler, S Roth, ... Image and Vision Computing 68, 40-52, 2017	51	2017
Low-level fusion of color, texture and depth for robust road scene understanding T Scharwächter, U Franke 2015 IEEE Intelligent Vehicles Symposium (IV), 599-604, 2015	41	2015
Fully convolutional neural networks for dynamic object detection in grid maps F Piewak, T Rehfeld, M Weber, JM Zöllner 2017 IEEE Intelligent Vehicles Symposium (IV), 392-398, 2017	29	2017
Visual guard rail detection for advanced highway assistance systems T Scharwächter, M Schuler, U Franke 2014 IEEE Intelligent Vehicles Symposium Proceedings, 900-905, 2014	25	2014
A real-time multi-cue framework for determining optical flow confidence SK Gehrig, T Scharwächter 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011	20	2011
Tree-structured models for efficient multi-cue scene labeling M Cordts, T Rehfeld, M Enzweiler, U Franke, S Roth IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1444-1454, 2016	17	2016
Holistic grid fusion based stop line estimation R Xu, F Tafazzoli, L Zhang, T Rehfeld, G Krehl, A Seal 2020 25th International Conference on Pattern Recognition (ICPR), 8400-8407, 2021	16	2021
Hierarchical road topology learning for urban mapless driving L Zhang, F Tafazzoli, G Krehl, R Xu, T Rehfeld, M Schier, A Seal 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	13	2022
Estimating high definition map parameters with convolutional neural networks S Bittel, T Rehfeld, M Weber, JM Zöllner 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 52-56, 2017	10	2017
Environment estimation with dynamic grid maps and self-localizing tracklets A Vatavu, N Rexin, S Appel, T Berling, S Govindachar, G Krehl, J Peukert, ... 2018 21st International Conference on Intelligent Transportation Systems …, 2018	9	2018
Sensor fusion-based online map validation for autonomous driving SR Bhavsar, A Vatavu, T Rehfeld, G Krehl 2020 IEEE Intelligent Vehicles Symposium (IV), 77-82, 2020	8	2020
Spider-based Stixel object segmentation F Erbs, A Witte, T Scharwaechter, R Mester, U Franke 2014 IEEE Intelligent Vehicles Symposium Proceedings, 906-911, 2014	6	2014
Stixel-Based Target Existence Estimation under Adverse Conditions T Scharwächter German Conference on Pattern Recognition, 225-230, 2013	2	2013
Combining Appearance, Depth and Motion for Efficient Semantic Scene Understanding T Rehfeld Technische Universität Darmstadt, 2018		2018

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