Výsledky vyhledávání - "Julian F.P. Kooij"

Cross-modal distillation for RGB-depth person re-identification

Autor: Frank M. Hafner, Amran Bhuyian, Julian F.P. Kooij, Eric Granger

Publikováno v: Computer Vision and Image Understanding, 216

Person re-identification is a key challenge for surveillance across multiple sensors. Prompted by the advent of powerful deep learning models for visual recognition, and inexpensive RGB-D cameras and sensor-rich mobile robotic platforms, e.g. self-dr

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BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency

Autor: Frank M. Hafner, Matthias Zeller, Mark Schutera, Jochen Abhau, Julian F.P. Kooij

Publikováno v: Proceedings of the 2022 IEEE Intelligent Vehicles Symposium (IV)

Customization of a convolutional neural network (CNN) to a specific compute platform involves finding an optimal pareto state between computational complexity of the CNN and resulting throughput in operations per second on the compute platform. Howev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0395484bece43dce4f3efbd405573574
http://resolver.tudelft.nl/uuid:2f6fbb7a-b6ba-49b4-9740-c7306c994c48

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