research
∙
03/02/2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
We propose an approach to estimate the number of samples required for a ...
share
research
∙
09/13/2022
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers
Annotating bounding boxes for object detection is expensive, time-consum...
research
∙
05/10/2020
BayesRace: Learning to race autonomously using prior experience
Learning to race autonomously is a challenging problem. It requires perc...
research
∙
02/12/2020
Computing the racing line using Bayesian optimization
A good racing strategy and in particular the racing line is decisive to ...
research
∙
01/22/2020
