8 citations · 8 across the 1 of their papers we have counts for
8 papers
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic +5
The task of visual grounding requires locating the most relevant region or object in an image, given a natural language query. So far, progress on this task was mostly measured on…
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis +2
Can we automatically group images into semantically meaningful clusters when ground-truth annotations are absent? The task of unsupervised image classification remains an important…
A Baseline for the Commands For Autonomous Vehicles Challenge
Simon Vandenhende, Thierry Deruyttere, Dusan Grujicic
The Commands For Autonomous Vehicles (C4AV) challenge requires participants to solve an object referral task in a real-world setting. More specifically, we consider a scenario wher…
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke +3
With the advent of deep learning, many dense prediction tasks, i.e. tasks that produce pixel-level predictions, have seen significant performance improvements. The typical approach…
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
In this paper, we argue about the importance of considering task interactions at multiple scales when distilling task information in a multi-task learning setup. In contrast to com…
Talk2Car: Taking Control of Your Self-Driving Car
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic +2
A long-term goal of artificial intelligence is to have an agent execute commands communicated through natural language. In many cases the commands are grounded in a visual environm…