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Samuel Scheidegger
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2020 – today
- 2024
- [j2]Yinan Yu
, Samuel Scheidegger
climateBUG : A data-driven framework for analyzing bank reporting through a climate lens. Expert Syst. Appl. 239: 122162 (2024) - [j1]Yinan Yu
Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF). Neurocomputing 609: 128461 (2024) - 2022
- [i4]Yinan Yu, Samuel Scheidegger, John-Fredrik Grönvall, Magnus Palm, Erik Svanberg, Johan Amoruso Wennerby, Jörg Bakker:
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure. CoRR abs/2205.01783 (2022)
2010 – 2019
- 2019
- [i3]Samuel Scheidegger, Yinan Yu, Tomas McKelvey:
Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis. CoRR abs/1910.09359 (2019) - 2018
- [c2]Samuel Scheidegger
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. Intelligent Vehicles Symposium 2018: 433-440 - [i2]Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, Karl Granström:
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. CoRR abs/1802.09975 (2018) - 2017
- [c1]Luca Caltagirone, Samuel Scheidegger
Fast LIDAR-based road detection using fully convolutional neural networks. Intelligent Vehicles Symposium 2017: 1019-1024 - [i1]Luca Caltagirone, Samuel Scheidegger, Lennart Svensson, Mattias Wahde:
Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks. CoRR abs/1703.03613 (2017)
Coauthor Index
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