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
Unsupervised workflow discovery in industrial environments
TL;DR: This work proposes a purely data-driven method which exploits the temporal structure of the workflow, free of human intervention and does not need parameter tuning, and shows a simple but efficient extension to analyze the image stream in real time.
Some issues on self-calibration and critical motion sequences
Marc Pollefeys,Luc Van Gool +1 more
TL;DR: This paper is concerned with the problem of selfcalibration, some general concepts are discussed, then several methods are briefly discussed and several interesting results are presented.
Proceedings ArticleDOI
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
TL;DR: Refign is a generic extension to self-training-based UDA methods which leverages cross-domain correspondences and introduces no extra training parameters, minimal computational overhead—during training only—and can be used as a drop-in extension to improve any given self-trained UDA method.
Journal ArticleDOI
Image and video processing for cultural heritage
Journal ArticleDOI
Towards Partial Supervision for Generic Object Counting in Natural Scenes.
TL;DR: This work introduces a partially supervised setting that significantly reduces the supervision level required for generic object counting, and proposes two novel frameworks, named lower-count (LC) and reduced lower- count (RLC), to enable object counting under this setting.