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 Article
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
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PathTrack: Fast Trajectory Annotation with Path Supervision
TL;DR: This work presents an efficient framework to annotate trajectories and uses it to produce a MOT dataset of unprecedented size, originally trained on the MOT15 dataset, and proves that this framework produces more accurate annotations than the state of the art, in a fraction of the time.
Posted Content
Unsupervised high-level feature learning by ensemble projection for semi-supervised image classification and image clustering
Dengxin Dai,Luc Van Gool +1 more
TL;DR: Ensemble Projection learns a new image representation by exploiting the distribution patterns of all available data for the task at hand, and captures not only the characteristics of individual images, but also the relationships among images.
Book ChapterDOI
A public system for image based 3D model generation
David Tingdahl,Luc Van Gool +1 more
TL;DR: This paper presents a service that creates complete and realistic 3D models out of a set of photographs taken with a consumer camera that automatically generates textured and dense models that require little or no post-processing.
Book ChapterDOI
Weakly Supervised 3D Object Detection from Lidar Point Cloud
TL;DR: In this article, a weakly supervised approach for 3D object detection is proposed, which only requires a small set of weakly annotated scenes, associated with a few precisely labeled object instances.