What is the minimal information that a robot must retain to achieve its ...
Recognizing human emotions from complex, multivariate, and non-stationar...
State minimization of combinatorial filters is a fundamental problem tha...
We study a class of filters – discrete finite-state transition systems
e...
In most modern cities, traffic congestion is one of the most salient soc...
We present a circulant and skew-circulant splitting (CSCS) iterative met...
The problem of combinatorial filter reduction arises from questions of
r...
To treat sensing limitations (with uncertainty in both conflation of
inf...
The one-shot Person Re-ID scenario faces two kinds of uncertainties when...
Recently, image dehazing task has achieved remarkable progress by
convol...
Few-shot object detection (FSOD) aims at learning a detector that can fa...
Reduction of combinatorial filters involves compressing state representa...
Whether a robot can perform some specific task depends on several aspect...
Recent research has examined algorithms to minimize robots' resource
foo...
A recent research theme has been the development of automatic methods to...
For robots acting in the presence of observers, we examine the informati...
Motivated by applications where privacy is important, we consider planni...
We examine the problem of target tracking whilst simultaneously preservi...