Samuel Scheidegger

According to our database, Samuel Scheidegger authored at least 6 papers between 2017 and 2024.

Collaborative distances:

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

2024

Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF).

Yinan Yu, Samuel Scheidegger, Tomas McKelvey

Neurocomputing, 2024

climateBUG : A data-driven framework for analyzing bank reporting through a climate lens.

Yinan Yu, Samuel Scheidegger, Jasmine Elliott, Åsa Löfgren

Expert Syst. Appl., 2024

2022

A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure.

Yinan Yu, Samuel Scheidegger, John-Fredrik Grönvall, Magnus Palm, Erik Svanberg, Johan Amoruso Wennerby, Jörg Bakker

CoRR, 2022

2019

Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis.

Samuel Scheidegger, Yinan Yu, Tomas McKelvey

CoRR, 2019

2018

Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering.

Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, Karl Granström

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

Fast LIDAR-based road detection using fully convolutional neural networks.

Luca Caltagirone, Samuel Scheidegger, Lennart Svensson, Mattias Wahde

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017