Markus Braun

According to our database, Markus Braun authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Behavior-Aware Pedestrian Trajectory Prediction in Ego-Centric Camera Views with Spatio-Temporal Ego-Motion Estimation.

Phillip Czech, Markus Braun, Ulrich Kreßel, Bin Yang

Mach. Learn. Knowl. Extr., June, 2023

2022

Visual Detection and Pose Estimation of Vulnerable Road Users for Automated Driving.

Markus Braun

PhD thesis, 2022

On-Board Pedestrian Trajectory Prediction Using Behavioral Features.

Phillip Czech, Markus Braun, Ulrich Kreßel, Bin Yang

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Simple Pair Pose - Pairwise Human Pose Estimation in Dense Urban Traffic Scenes.

Markus Braun, Fabian B. Flohr, Sebastian Krebs, Ulrich Kreße, Dariu M. Gavrila

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

ECP2.5D - Person Localization in Traffic Scenes.

Markus Braun, Sebastian Krebs, Dariu M. Gavrila

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes.

Markus Braun, Sebastian Krebs, Fabian Flohr, Dariu M. Gavrila

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Generating 3D Person Trajectories from Sparse Image Annotations in an Intelligent Vehicles Setting.

Sebastian Krebs, Markus Braun, Dariu M. Gavrila

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

The EuroCity Persons Dataset: A Novel Benchmark for Object Detection.

Markus Braun, Sebastian Krebs, Fabian Flohr, Dariu M. Gavrila

CoRR, 2018

2016

A new benchmark for vision-based cyclist detection.

Xiaofei Li, Fabian Flohr, Yue Yang, Hui Xiong, Markus Braun, Shuyue Pan, Keqiang Li, Dariu M. Gavrila

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Pose-RCNN: Joint object detection and pose estimation using 3D object proposals.

Markus Braun, Qing Rao, Yikang Wang, Fabian Flohr

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016