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
Lococo: low complexity corner detector
TL;DR: The complexity of Harris and KLT corner detectors are reduced by using the box kernel, the integral image and efficient non-maximum suppression, achieving complexity reduction by a factor of 8.
Journal ArticleDOI
An Elastic Deformation Field Model for Object Detection and Tracking
TL;DR: Experiments show that the deformation field can better approximate real object deformations and therefore, for certain classes, produces even better detection accuracy than state-of-the-art DPM.
Posted Content
Speech-Based Visual Question Answering.
TL;DR: This paper introduces speech-based visual question answering (VQA), the task of generating an answer given an image and a spoken question and investigates the robustness of both methods by injecting various levels of noise into the spoken question.
Proceedings ArticleDOI
Mining from large image sets
TL;DR: The processing of landmark images and of images coming from webcams are discussed, which deals with the automated collection of images of landmarks, which are then also automatically annotated and enriched with Wikipedia information.
Journal ArticleDOI
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
TL;DR: Interestingly, this framework does not latch onto low-level image cues and is not limited to object-centric datasets, and can considerably outperform previous works for unsupervised semantic segmentation on PASCAL and COCO.