In this paper, we investigate the performance of multiple-input
multiple...
We study how training molds the Riemannian geometry induced by neural ne...
Recent studies have demonstrated that deep neural networks (DNNs) are
vu...
Given the exponential growth of the volume of the ball w.r.t. its radius...
The use of Augmented Reality (AR) for navigation purposes has shown
bene...
Poles and building edges are frequently observable objects on urban road...
We consider the problem of scheduling precedence-constrained jobs on
het...
We study the correlated stochastic knapsack problem of a submodular targ...
In this work, we propose an interoceptive-only state estimation system f...
Immersive video, such as virtual reality (VR) and multi-view videos, is
...
Immersive video, such as virtual reality (VR) and multi-view videos, is
...
We propose novel compression algorithms to time-varying channel state
in...
We present a novel method for visual mapping and localization for autono...
This paper investigates adaptive streaming of one or multiple tiled 360
...
When the users in a MIMO broadcast channel experience different spatial
...
As it is said by Van Gogh, great things are done by a series of small th...
We present a simple yet effective progressive self-guided loss function ...
This paper designs a technique route to generate high-quality panoramic ...
Registration of 3D LiDAR point clouds with optical images is critical in...
The high-SNR capacity of the noncoherent MIMO channel has been derived f...
We consider the joint constellation design problem for the noncoherent
m...
We present ClusterVO, a stereo Visual Odometry which simultaneously clus...
Rate splitting (RS) is a potentially powerful and flexible technique for...
We consider the joint constellation design problem for the two-user
non-...
3D point cloud completion, the task of inferring the complete geometric ...
Edge machine learning involves the deployment of learning algorithms at ...
The coflow scheduling problem has emerged as a popular abstraction in th...
We consider the non-coherent single-input multiple-output (SIMO) multipl...
In this paper, we propose a practical structured constellation for
non-c...
Recently, with the advent of deep convolutional neural networks (DCNN), ...
It is challenging to detect curve texts due to their irregular shapes an...
The optimal storage-computation tradeoff is characterized for a
MapReduc...
In this paper, we consider a general K-user multiple-input multiple-outp...
We consider a MapReduce-like distributed computing system. We derive a l...
The optimal degree-of-freedom (DoF) region of the non-coherent
multiple-...
The Influence Maximization (IM) problem aims at finding k seed vertices ...
This paper investigates distributed computing systems where computations...
A novel framework named Markov Clustering Network (MCN) is proposed for ...
Vehicle-to-Infrastructure (V2I) technology, combined with millimeter wav...
A major limitation for implementing coded caching techniques into practi...
We consider coded caching over the fading broadcast channel, where the u...