In this paper, we propose a rate-splitting multiple access (RSMA) scheme...
Massive access has been challenging for the fifth generation (5G) and be...
Person search is an integrated task of multiple sub-tasks such as
foregr...
It has already been observed that audio-visual embedding is more robust ...
Recently, crowd density estimation has received increasing attention. Th...
As an effective algorithm for solving complex optimization problems,
art...
Video-based person re-identification (re-ID) is an important technique i...
In order to robustly deploy object detectors across a wide range of
scen...
Current datasets for video-based person re-identification (re-ID) do not...
In this work, we tackle the problem of person search, which is a challen...
Person re-identification aims to match a person's identity across multip...
We study relationship between peer assessment of quality of U.S. Compute...
The first objective towards the effective use of microblogging services ...
Encouraged by the recent progress in pedestrian detection, we investigat...
The Deep Boltzmann Machines (DBM) is a state-of-the-art unsupervised lea...
Motivated by the center-surround mechanism in the human visual attention...
This paper starts from the observation that multiple top performing
pede...