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Researcher
Wouter Van Gansbeke
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → Today - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Aug 2018 → 31 Jul 2020
Projects
1 - 1 of 1
- Exploring Unsupervised Learning for Computer Vision Tasks with Neural NetworksFrom5 Dec 2018 → 10 Jul 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 8 of 8
- Exploring Unsupervised Learning for Computer Vision Tasks with Neural Networks(2023)
Authors: Wouter Van Gansbeke, Luc Van Gool
- Multi-task learning for dense prediction tasks: A survey(2022)
Authors: Simon Vandenhende, Wouter Van Gansbeke, Marc Proesmans, Luc Van Gool
- Don't Forget The Past: Recurrent Depth Estimation from Monocular Video(2020)
Authors: Wouter Van Gansbeke, Luc Van Gool
Pages: 6813 - 6820 - SCAN: Learning to classify images without labels(2020)
Authors: Wouter Van Gansbeke, Simon Vandenhende, Marc Proesmans, Luc Van Gool
Pages: 268 - 285 - End-to-end Lane Detection through Differentiable Least-Squares Fitting(2019)
Authors: Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool
Pages: 905 - 913 - Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty(2019)
Authors: Wouter Van Gansbeke, Davy Neven, Luc Van Gool
Number of pages: 6 - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Authors: Wouter Van Gansbeke, Luc Van Gool
Pages: 10032 - 10042Number of pages: 11 - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Authors: Wouter Van Gansbeke, Luc Van Gool