Stickers have become a ubiquitous part of modern-day communication, conv...
Controller tuning is a vital step to ensure the controller delivers its
...
This paper presents a safe stochastic optimal control method for network...
The performance of a robot controller depends on the choice of its
param...
Mainstream object detectors based on the fully convolutional network has...
The Feature Pyramid Network (FPN) presents a remarkable approach to alle...
The Learnable Tree Filter presents a remarkable approach to model
struct...
In this paper, we discuss the methodology of generalizing the optimal co...
We present ℛℒ_1-𝒢𝒫, a control framework that enables
safe simultaneous l...
Recently, numerous handcrafted and searched networks have been applied f...
Learning discriminative global features plays a vital role in semantic
s...
Current state-of-the-art approaches for spatio-temporal action detection...
In this paper, we investigate using Ultra-Wideband (UWB) technology in
v...
In this paper, we make use of channel symmetry properties to determine t...
New sufficient conditions for determining in closed form the capacity re...