Search Results - "Hehn, Thomas M."
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1
End-to-End Learning of Decision Trees and Forests
Published in International journal of computer vision (01-04-2020)“…Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from…”
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Journal Article -
2
Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners
Published in IEEE robotics and automation letters (01-04-2021)“…This work proposes to use passive acoustic perception as an additional sensing modality for intelligent vehicles. We demonstrate that approaching vehicles…”
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Journal Article -
3
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
Published in GLOBECOM 2023 - 2023 IEEE Global Communications Conference (04-12-2023)“…Estimating path loss for a transmitter-receiver location is key to many use-cases including network planning and handover. Machine learning has become a…”
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Conference Proceeding -
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Instance Stixels: Segmenting and Grouping Stixels into Objects
Published in 2019 IEEE Intelligent Vehicles Symposium (IV) (01-06-2019)“…State-of-the-art stixel methods fuse dense stereo and semantic class information, e.g. from a Convolutional Neural Network (CNN), into a compact representation…”
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Conference Proceeding -
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How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?
Published 23-11-2022“…Various state-of-the-art self-supervised visual representation learning approaches take advantage of data from multiple sensors by aligning the feature…”
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Journal Article -
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Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
Published 06-10-2023“…Estimating path loss for a transmitter-receiver location is key to many use-cases including network planning and handover. Machine learning has become a…”
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Journal Article -
7
Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners
Published 25-02-2021“…This work proposes to use passive acoustic perception as an additional sensing modality for intelligent vehicles. We demonstrate that approaching vehicles…”
Get full text
Journal Article