L
Luc Van Gool
Researcher at Katholieke Universiteit Leuven
Publications - 1458
Citations - 137230
Luc Van Gool is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 133, co-authored 1307 publications receiving 107743 citations. Previous affiliations of Luc Van Gool include Microsoft & ETH Zurich.
Papers
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Proceedings ArticleDOI
Navigation using special buildings as signposts
TL;DR: This work presents a method to automatically augment maps with most locally prominent such buildings, at multiple scale, and generates a characterization which helps emphasize the special attributes of these buildings.
Proceedings ArticleDOI
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks
TL;DR: An end-to-end neural network is analyzed to predict a car's steering actions on a highway based on images taken from a single car-mounted camera and it is qualitatively demonstrated that the standard metrics that are used to evaluate networks do not necessarily accurately reflect a system's driving behaviour.
Journal ArticleDOI
PICASO: PIxel correspondences and SOft match selection for real-time tracking
TL;DR: PICASO, an efficient, yet strongly performing tracking scheme that evaluates its tracker on standard videos for rigid and non-rigid object tracking, and obtains excellent performance at 42fps with Matlab on a CPU.
Proceedings ArticleDOI
Uncertainty-Aware Deep Multi-View Photometric Stereo
TL;DR: This paper presents a simple and effective solution to the longstanding classical multi-view photometric stereo (MVPS) problem, and proposes to learn the implicit neural shape representation via a multilayer perceptron (MLP), providing superior dense surface reconstruction.