The current popular methods for video object segmentation (VOS) implemen...
Conditional variational autoencoders (CVAEs) have been used recently for...
In this paper, we study masked autoencoder (MAE) pretraining on videos f...
We propose a method for channel training and precoding in FDD massive MI...
As the array dimension of massive MIMO systems increases to unprecedente...
This paper presents SimVTP: a Simple Video-Text Pretraining framework vi...
Matching-based methods, especially those based on space-time memory, are...
We study the problem of providing channel state information (CSI) at the...
Video-Text Pre-training (VTP) aims to learn transferable representations...
Unsupervised video representation learning has made remarkable achieveme...
Recent works on 3D single object tracking treat the tracking as a
target...
Linguistic steganography (LS) aims to embed secret information into a hi...
We consider the problem of estimating channel fading coefficients (model...
In massive MIMO systems, the knowledge of channel covariance matrix is
c...
In light of the success of contrastive learning in the image domain, cur...
This paper investigates the secrecy capacity region of multiple access
w...
In this work, we study a full-duplex (FD) cloud radio access network (C-...
In this self-contained chapter, we revisit a fundamental problem of
mult...
MoCo is effective for unsupervised image representation learning. In thi...
This paper considers the information bottleneck (IB) problem of a Raylei...
This paper considers the information bottleneck (IB) problem of a Raylei...
We propose a comprehensive scheme for realizing a massive multiple-input...
The convex property of a nonlinear wireless power transfer (WPT) is
char...
A large majority of cellular networks deployed today make use of Frequen...
Obtaining channel covariance knowledge is of great importance in various...
Online updating a tracking model to adapt to object appearance variation...
Template-matching methods for visual tracking have gained popularity rec...
Generative adversarial network (GAN) is gaining increased importance in
...
Template-matching methods for visual tracking have gained popularity rec...
In this paper we address a worst-case weighted sum rate maximization pro...
Recently using convolutional neural networks (CNNs) has gained popularit...