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...
Recently, two-stage Deformable DETR introduced the query-based two-stage...
This work describes the automatic registration of a large network
(appro...
Pose estimation is usually tackled as either a bin classification proble...
6-DoF visual localization systems utilize principled approaches rooted i...
We propose a novel and pragmatic framework for traffic scene perception ...
Engineering design is traditionally performed by hand: an expert makes d...
Uncertainty pervades through the modern robotic autonomy stack, with nea...
This work presents a technique for localization of a smart infrastructur...
Vehicle localization is essential for autonomous vehicle (AV) navigation...
A distinctive feature of Doppler radar is the measurement of velocity in...
While radar and video data can be readily fused at the detection level,
...
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...
The determination of the relative 6 Degree of Freedom (DoF) pose of vehi...
We introduce a method for 3D object detection using a single monocular i...
Deep Learning has seen an unprecedented increase in vision applications ...
We describe a Deep-Geometric Localizer that is able to estimate the full...
Reasoning about human motion through an environment is an important
prer...
We present a voice conversion solution using recurrent sequence to seque...
We present a Deep Learning based system for the twin tasks of localizati...
In this work, we aim at automatically labeling actors in a TV series. Ra...
In this paper we introduce a model of lifelong learning, based on a Netw...
In this paper, we show how to use audio to supervise the learning of act...