Robust feature matching forms the backbone for most Visual Simultaneous
...
This work describes the automatic registration of a large network
(appro...
We propose a novel and pragmatic framework for traffic scene perception ...
The rapidly growing market demand for dialogue agents capable of
goal-or...
Embedding-based approaches for dialog response retrieval embed the
conte...
Recent methods for knowledge grounded dialogs generate responses by
inco...
This work presents a technique for localization of a smart infrastructur...
Vehicle localization is essential for autonomous vehicle (AV) navigation...
This work presents a novel extrinsic calibration estimation algorithm be...
Heterogeneous ensembles that can aggregate an unrestricted number and va...
We propose an end-to-end real time framework to generate high resolution...
Popular task-oriented dialog data sets such as MultiWOZ (Budzianowski et...
There is a growing need for vehicle positioning information to support
A...
In this paper, we will show that the recently introduced graphical model...
In this paper we perform an experimental comparison of three different t...
This paper presents a localization technique using aerial imagery maps a...
This paper presents a challenging multi-agent seasonal dataset collected...
This work presents an extrinsic parameter estimation algorithm between a...
We describe a Deep-Geometric Localizer that is able to estimate the full...
There is a growing need for vehicle positioning information to support
A...
Autonomous vehicles require precise knowledge of their position and
orie...
The primary objective of domain adaptation methods is to transfer knowle...
Recently several deep learning based models have been proposed for end-t...
Heterogeneous ensembles built from the predictions of a wide variety and...
In this work we propose a novel motion guided method for automatic and
t...
Robust visual place recognition (VPR) requires scene representations tha...
Conditional random fields (CRFs) are commonly employed as a post-process...
In this paper, we address the problem of conditional modality learning,
...
The combination of multiple classifiers using ensemble methods is
increa...
Protein interaction networks are a promising type of data for studying
c...