Andreas Aßmann

According to our database, Andreas Aßmann authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Efficient Reconfigurable Mixed Precision ℓ ₁ Solver for Compressive Depth Reconstruction.

Yun Wu, Andrew M. Wallace, João F. C. Mota, Andreas Aßmann, Brian Stewart

J. Signal Process. Syst., 2022

Energy Efficient Approximate 3D Image Reconstruction.

Yun Wu, Andreas Aßmann, Brian Stewart, Andrew M. Wallace

IEEE Trans. Emerg. Top. Comput., 2022

Parallel Block Compressive LiDAR Imaging.

Andreas Aßmann, João F. C. Mota, Brian Stewart, Andrew M. Wallace

IEEE Trans. Computational Imaging, 2022

2021

Mixed Precision ℓ1 Solver for Compressive Depth Reconstruction: An ADMM Case Study.

Yun Wu, Andrew M. Wallace, Andreas Aßmann, Brian Stewart

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

Accelerated 3D Image Reconstruction for Resource Constrained Systems.

Andreas Aßmann, Yun Wu, Brian Stewart, Andrew M. Wallace

Proceedings of the 28th European Signal Processing Conference, 2020

Deep Learning for LiDAR Waveforms with Multiple Returns.

Andreas Aßmann, Brian Stewart, Andrew M. Wallace

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging.

Andreas Aßmann, Brian Stewart, João F. C. Mota, Andrew M. Wallace

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019