Markus Enzweiler

According to our database, Markus Enzweiler authored at least 42 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Competing with autonomous model vehicles: a software stack for driving in smart city environments.

Julius Bächle, Jakob Häringer, Noah Köhler, Kadir-Kaan Özer, Markus Enzweiler, Reiner Marchthaler

Auton. Intell. Syst., December, 2024

S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking With Adaptive Spatio-Temporal Appearance Representations.

Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Markus Enzweiler, Hendrik P. A. Lensch

IEEE Robotics Autom. Lett., February, 2024

Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing.

Fabian Schmidt, Constantin Blessing, Markus Enzweiler, Abhinav Valada

CoRR, 2024

The OPNV Data Collection: A Dataset for Infrastructure-Supported Perception Research with Focus on Public Transportation.

Marcel Vosshans, Alexander Baumann, Matthias Drueppel, Omar Ait-Aider, Ralf Woerner, Youcef Mezouar, Thao Dang, Markus Enzweiler

CoRR, 2024

StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection.

Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar, Markus Enzweiler

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Real-Time Semantic Segmentation for Autonomous Scale Cars using Mixed Real and Synthetic Data.

Steffen Ehrenfeuchter, Roberto Corlito, Reiner Marchthaler, Markus Enzweiler

Proceedings of the 10th International Conference on Mechatronics and Robotics Engineering, 2024

Dualad: Disentangling the Dynamic and Static World for End-to-End Driving.

Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Marius Cordts, Markus Enzweiler, Hendrik P. A. Lensch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Semantic Scene Completion Using Local Deep Implicit Functions on LiDAR Data.

Christoph B. Rist, David Emmerichs, Markus Enzweiler, Dariu M. Gavrila

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection From Multi-view Camera Images With Global Cross-Sensor Attention.

Simon Doll, Richard Schulz, Lukas Schneider, Viviane Benzin, Markus Enzweiler, Hendrik P. A. Lensch

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds.

Christoph B. Rist, David Schmidt, Markus Enzweiler, Dariu M. Gavrila

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

CNN-based synthesis of realistic high-resolution LiDAR data.

Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Cross-Sensor Deep Domain Adaptation for LiDAR Detection and Segmentation.

Christoph B. Rist, Markus Enzweiler, Dariu M. Gavrila

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation.

Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zöllner

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Improved Semantic Stixels via Multimodal Sensor Fusion.

Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

Tree-Structured Models for Efficient Multi-Cue Scene Labeling.

Marius Cordts, Timo Rehfeld, Markus Enzweiler, Uwe Franke, Stefan Roth

IEEE Trans. Pattern Anal. Mach. Intell., 2017

The Stixel World: A medium-level representation of traffic scenes.

Marius Cordts, Timo Rehfeld, Lukas Schneider, David Pfeiffer, Markus Enzweiler, Stefan Roth, Marc Pollefeys, Uwe Franke

Image Vis. Comput., 2017

2016

Semantic Stixels: Depth is not enough.

Lukas Schneider, Marius Cordts, Timo Rehfeld, David Pfeiffer, Markus Enzweiler, Uwe Franke, Marc Pollefeys, Stefan Roth

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

The Cityscapes Dataset for Semantic Urban Scene Understanding.

Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

The mobile revolution - Machine intelligence for autonomous vehicles.

Markus Enzweiler

it Inf. Technol., 2015

The Mobile Revolution - Machine Intelligence for Autonomous Vehicles (Dagstuhl Seminar 15462).

Wolfram Burgard, Uwe Franke, Markus Enzweiler, Mohan M. Trivedi

Dagstuhl Reports, 2015

A Comparison Study on Vehicle Detection in Far Infrared and Regular Images.

David Savasturk, Björn Fröhlich, Nicolai Schneider, Markus Enzweiler, Uwe Franke

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Vision-Based Road Sign Detection.

Manuel Kehl, Markus Enzweiler, Björn Fröhlich, Uwe Franke, Wolfgang Heiden

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

What Is in Front? Multiple-Object Detection and Tracking with Dynamic Occlusion Handling.

Junli Tao, Markus Enzweiler, Uwe Franke, David Pfeiffer, Reinhard Klette

Proceedings of the Computer Analysis of Images and Patterns, 2015

2014

Making Bertha Drive - An Autonomous Journey on a Historic Route.

Julius Ziegler, Philipp Bender, Markus Schreiber, Henning Lategahn, Tobias Strauss, Christoph Stiller, Thao Dang, Uwe Franke, Nils Appenrodt, Christoph Gustav Keller, Eberhard Kaus, Ralf G. Herrtwich, Clemens Rabe, David Pfeiffer, Frank Lindner, Fridtjof Stein, Friedrich Erbs, Markus Enzweiler, Carsten Knöppel, Jochen Hipp, Martin Haueis, Maximilian Trepte, Carsten Brenk, Andreas Tamke, Mohammad Ghanaat, Markus Braun, Armin Joos, Hans Fritz, Horst Mock, Martin Hein, Eberhard Zeeb

IEEE Intell. Transp. Syst. Mag., 2014

Will this car change the lane? - Turn signal recognition in the frequency domain.

Björn Fröhlich, Markus Enzweiler, Uwe Franke

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding.

Timo Scharwächter, Markus Enzweiler, Uwe Franke, Stefan Roth

Proceedings of the Computer Vision - ECCV 2014, 2014

Object-Level Priors for Stixel Generation.

Marius Cordts, Lukas Schneider, Markus Enzweiler, Uwe Franke, Stefan Roth

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Towards multi-cue urban curb recognition.

Markus Enzweiler, Pierre Greiner, Carsten Knöppel, Uwe Franke

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Making Bertha See.

Uwe Franke, David Pfeiffer, Clemens Rabe, Carsten Knöppel, Markus Enzweiler, Fridtjof Stein, Ralf G. Herrtwich

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Efficient Multi-cue Scene Segmentation.

Timo Scharwächter, Markus Enzweiler, Uwe Franke, Stefan Roth

Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012

Efficient Stixel-based object recognition.

Markus Enzweiler, Matthias Hummel, David Pfeiffer, Uwe Franke

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

2011

Compound models for vision-based pedestrian recognition.

Markus Enzweiler

PhD thesis, 2011

The Benefits of Dense Stereo for Pedestrian Detection.

Christoph Gustav Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca, Christoph Schnörr, Dariu M. Gavrila

IEEE Trans. Intell. Transp. Syst., 2011

A Multilevel Mixture-of-Experts Framework for Pedestrian Classification.

Markus Enzweiler, Dariu M. Gavrila

IEEE Trans. Image Process., 2011

A new benchmark for stereo-based pedestrian detection.

Christoph Gustav Keller, Markus Enzweiler, Dariu M. Gavrila

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010

Integrated pedestrian classification and orientation estimation.

Markus Enzweiler, Dariu M. Gavrila

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Multi-cue pedestrian classification with partial occlusion handling.

Markus Enzweiler, Angela Eigenstetter, Bernt Schiele, Dariu M. Gavrila

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Monocular Pedestrian Detection: Survey and Experiments.

Markus Enzweiler, Dariu M. Gavrila

IEEE Trans. Pattern Anal. Mach. Intell., 2009

High-Level Fusion of Depth and Intensity for Pedestrian Classification.

Marcus Rohrbach, Markus Enzweiler, Dariu M. Gavrila

Proceedings of the Pattern Recognition, 2009

2008

A mixed generative-discriminative framework for pedestrian classification.

Markus Enzweiler, Dariu M. Gavrila

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Pedestrian Recognition from a Moving Catadioptric Camera.

Wolfgang Schulz, Markus Enzweiler, Tobias Ehlgen

Proceedings of the Pattern Recognition, 2007

2005

Unified Target Detection and Tracking Using Motion Coherence.

Markus Enzweiler, Richard P. Wildes, Rainer Herpers

Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005