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Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

Feb 11, 2021
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool

* Paper and supplementary - Code: https://github.com/wvangansbeke/Unsupervised-Semantic-Segmentation 

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Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

Sep 18, 2020
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew Blaschko, Tinne Tuytelaars, Marie-Francine Moens


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Learning To Classify Images Without Labels

May 25, 2020
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

* Paper + supplementary. Code + pretrained models: https://github.com/wvangansbeke/Unsupervised-Classification 

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Revisiting Multi-Task Learning in the Deep Learning Era

Apr 28, 2020
Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool

* A survey on recent multi-task learning techniques 

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A Baseline for the Commands For Autonomous Vehicles Challenge

Apr 20, 2020
Simon Vandenhende, Thierry Deruyttere, Dusan Grujicic

* Technical Report 

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MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning

Jan 19, 2020
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool


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Talk2Car: Taking Control of Your Self-Driving Car

Sep 24, 2019
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens

* 14 pages, accepted at emnlp-ijcnlp 2019 

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Branched Multi-Task Networks: Deciding What Layers To Share

Apr 05, 2019
Simon Vandenhende, Bert De Brabandere, Luc Van Gool


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A Three-Player GAN: Generating Hard Samples To Improve Classification Networks

Mar 08, 2019
Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool

* Accepted for oral presentation at MVA2019 

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