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Samuel Scheidegger
Samuel Scheidegger
Asymptotic AI
Verified email at asymptotic.ai
Title
Cited by
Cited by
Year
Fast LIDAR-based road detection using fully convolutional neural networks
L Caltagirone, S Scheidegger, L Svensson, M Wahde
2017 ieee intelligent vehicles symposium (iv), 1019-1024, 2017
2972017
Mono-camera 3d multi-object tracking using deep learning detections and pmbm filtering
S Scheidegger, J Benjaminsson, E Rosenberg, A Krishnan, K Granström
2018 IEEE Intelligent Vehicles Symposium (IV), 433-440, 2018
1832018
climateBUG: A data-driven framework for analyzing bank reporting through a climate lens
Y Yu, S Scheidegger, J Elliott, Å Löfgren
Expert Systems with Applications 239, 122162, 2024
32024
Separable convolutional eigen-filters (SCEF): Building efficient CNNs using redundancy analysis
S Scheidegger, Y Yu, T McKelvey
arXiv e-prints, arXiv: 1910.09359, 2019
22019
Monocular simultaneous localisation and mapping for road vehicles
M Ernst, S Scheidegger
12015
Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF)
Y Yu, S Scheidegger, T McKelvey
Neurocomputing 609, 128461, 2024
2024
Qually: A Quality Validation Toolbox for Automotive Perception Data Towards Trustworthy AI
Y Yu, S Scheidegger, J Bakker
2022
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure
Y Yu, S Scheidegger, JF Grönvall, M Palm, E Svanberg, JA Wennerby, ...
arXiv preprint arXiv:2205.01783, 2022
2022
Safety-driven data labelling platform to enable safe and responsible AI
Y Yu, S Scheidegger, J Bakker
2021
Halvledarreläer
M Ernst, S Scheidegger
2013
Si3fp: Deep Learning-Based Scalable Image-to-3d Facade Parser for Generating Thermal 3d Models of Buildings
Y Yu, A Gonzalez-Caceres, S Scheidegger, S Somanath, A Hollberg
Available at SSRN 4986571, 0
Unpacking Banks' Response to Societal Expectations: An Nlp Analysis of European Banks' Discussion of Climate Change
Å Löfgren, J Elliott, Y Yu, S Scheidegger
Available at SSRN 4822293, 0
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