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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Journal ArticleDOI
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images
TL;DR: This work introduces parts dependent body joint regressors which are random forests that operate over two layers that outperform independent classifiers or regressors of the state-of-the-art in terms of accuracy, while running with a couple of frames per second.
Journal Article
TriCoS: a tri-level class-discriminative co-segmentation method for image classification
TL;DR: TriCoS as discussed by the authors is a co-segmentation algorithm that looks at all training images jointly and automatically segments out the most class-discriminative foregrounds for each image.
Book
Recording, modeling and visualization of cultural heritage
TL;DR: Thematic projects integrating different approaches for 3D modeling, spatial information systems, reconstruction and visualization, and animation.
Posted Content
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov,Radu Timofte,Thang Vu,Tung Minh Luu,Trung X. Pham,Cao Van Nguyen,Yongwoo Kim,Jae-Seok Choi,Munchurl Kim,Jie Huang,Jiewen Ran,Chen Xing,Xingguang Zhou,Pengfei Zhu,Mingrui Geng,Yawei Li,Eirikur Agustsson,Shuhang Gu,Luc Van Gool,Etienne de Stoutz,Nikolay Kobyshev,Kehui Nie,Yan Zhao,Gen Li,Tong Tong,Qinquan Gao,Liu Hanwen,Pablo Navarrete Michelini,Zhu Dan,Hu Fengshuo,Zheng Hui,Xiumei Wang,Lirui Deng,Rang Meng,Jinghui Qin,Yukai Shi,Wushao Wen,Liang Lin,Ruicheng Feng,Shixiang Wu,Chao Dong,Yu Qiao,Subeesh Vasu,Nimisha Thekke Madam,Praveen Kandula,A. N. Rajagopalan,Jie Liu,Cheolkon Jung +47 more
TL;DR: In this paper, the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones was presented, where participants were solving the classical image super-resolution problem with a bicubic downscaling factor of 4.
Journal ArticleDOI
stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition
TL;DR: A novel attentive semantic recurrent neural network (RNN), namely, stagNet, is presented for understanding group activities and individual actions in videos, by combining the spatio-temporal attention mechanism and semantic graph modeling.