Karl Amende

According to our database, Karl Amende authored at least 9 papers between 2017 and 2019.

Collaborative distances:

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

2019

WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving.

Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Pérez, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Sumanth Chennupati, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Complexer YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds.

Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Sämann, Hauke Kaulbersch, Stefan Milz, Horst-Michael Gross

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Robust Semantic Video Segmentation through Confidence-based Feature Map Warping.

Timo Sämann, Karl Amende, Stefan Milz, Horst-Michael Groß

Proceedings of the ACM Computer Science in Cars Symposium, 2019

2018

Complex-YOLO: Real-time 3D Object Detection on Point Clouds.

Martin Simon, Stefan Milz, Karl Amende, Horst-Michael Gross

CoRR, 2018

Monocular Fisheye Camera Depth Estimation Using Semi-supervised Sparse Velodyne Data.

Varun Ravi Kumar, Stefan Milz, Martin Simon, Christian Witt, Karl Amende, Johannes Petzold, Senthil Kumar Yogamani

CoRR, 2018

Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision.

Varun Ravi Kumar, Stefan Milz, Christian Witt, Martin Simon, Karl Amende, Johannes Petzold, Senthil Kumar Yogamani, Timo Pech

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Efficient Semantic Segmentation for Visual Bird's-Eye View Interpretation.

Timo Sämann, Karl Amende, Stefan Milz, Christian Witt, Martin Simon, Johannes Petzold

Proceedings of the Intelligent Autonomous Systems 15, 2018

Complex-YOLO: An Euler-Region-Proposal for Real-Time 3D Object Detection on Point Clouds.

Martin Simon, Stefan Milz, Karl Amende, Horst-Michael Gross

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

How to get pavement distress detection ready for deep learning? A systematic approach.

Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017