Data imbalance is a well-known issue in the field of machine learning,
a...
Neural Radiance Fields (NeRFs) have revolutionized the field of novel vi...
Can knowing where you are assist in perceiving objects in your surroundi...
Most 6-DoF localization and SLAM systems use static landmarks but ignore...
Pose estimation is usually tackled as either a bin classification proble...
6-DoF visual localization systems utilize principled approaches rooted i...
Training models that are robust to data domain shift has gained an incre...
Uncertainty pervades through the modern robotic autonomy stack, with nea...
3D object detection and dense depth estimation are one of the most vital...
Meta-learning models have two objectives. First, they need to be able to...
We describe a light-weight, weather and lighting invariant, Semantic Bir...
Training robots to navigate diverse environments is a challenging proble...
Image-based learning methods for autonomous vehicle perception tasks req...
We introduce a method for 3D object detection using a single monocular i...
Deep Learning has seen an unprecedented increase in vision applications ...