Erik Wallin

Doctoral Student at Signal Processing

Erik Wallin is an industrial PhD student in the signal processing group under employment of Saab Surveillance. His position is part of the research program WASP (Wallenberg Artificial Intelligence, Autonomous Systems and Software Program). The goal of WASP is to strengthen Sweden’s competence in these fields at the large technical universities.

Erik’s research is supervised by Lars Hammarstrand and focuses on semi-supervised learning. Semi-supervised learning is a branch within artificial intelligence where labeled data are used together with unlabeled data for training a computer program to perform a specified task. In addition to being an important step forward in the field of artificial intelligence, semi-supervised learning can be used to solve classification problems in the sensor systems developed by Saab Surveillance.

Source: chalmers.se
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Showing 3 publications

2024

Improving Open-Set Semi-Supervised Learning with Self-Supervision

Erik Wallin, Lennart Svensson, Fredrik Kahl et al
Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, p. 2345-2354
Paper in proceeding
2022

DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision

Erik Wallin, Lennart Svensson, Fredrik Kahl et al
Proceedings - International Conference on Pattern Recognition. Vol. 2022-August, p. 2871-2877
Paper in proceeding

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Showing 1 research projects

2020–2024

Robust and precise Semi-Supervised Learning schemes

Lars Hammarstrand Signal Processing
Erik Wallin Signal Processing
Lennart Svensson Signal Processing
Fredrik Kahl Computer vision and medical image analysis
Wallenberg AI, Autonomous Systems and Software Program

1 publication exists
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