30 citations · 30 across the 3 of their papers we have counts for
4 papers
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues
Klaas Kelchtermans, Tinne Tuytelaars
The gap between simulation and the real-world restrains many machine learning breakthroughs in computer vision and reinforcement learning from being applicable in the real world. I…
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
Methods proposed in the literature towards continual deep learning typically operate in a task-based sequential learning setup. A sequence of tasks is learned, one at a time, with…
DoShiCo Challenge: Domain Shift in Control Prediction
Klaas Kelchtermans, Tinne Tuytelaars
Training deep neural network policies end-to-end for real-world applications so far requires big demonstration datasets in the real world or big sets consisting of a large variety…
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV
Klaas Kelchtermans, Tinne Tuytelaars
This work explores the feasibility of steering a drone with a (recurrent) neural network, based on input from a forward looking camera, in the context of a high-level navigation ta…