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08/19/2023
Scalable Video Object Segmentation with Simplified Framework
The current popular methods for video object segmentation (VOS) implemen...
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05/24/2023
Dior-CVAE: Diffusion Priors in Variational Dialog Generation
Conditional variational autoencoders (CVAEs) have been used recently for...
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04/02/2023
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
In this paper, we study masked autoencoder (MAE) pretraining on videos f...
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03/20/2023
Deep-Learning Aided Channel Training and Precoding in FDD Massive MIMO with Channel Statistics Knowledge
We propose a method for channel training and precoding in FDD massive MI...
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01/11/2023
Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems
As the array dimension of massive MIMO systems increases to unprecedente...
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12/07/2022
SimVTP: Simple Video Text Pre-training with Masked Autoencoders
This paper presents SimVTP: a Simple Video-Text Pretraining framework vi...
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08/22/2022
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization
Matching-based methods, especially those based on space-time memory, are...
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07/21/2022
FDD Massive MIMO Channel Training Optimal Rate Distortion Bounds and the Efficiency of one-shot Schemes
We study the problem of providing channel state information (CSI) at the...
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07/21/2022
LocVTP: Video-Text Pre-training for Temporal Localization
Video-Text Pre-training (VTP) aims to learn transferable representations...
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03/25/2022
Unsupervised Pre-training for Temporal Action Localization Tasks
Unsupervised video representation learning has made remarkable achieveme...
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03/08/2022
A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds
Recent works on 3D single object tracking treat the tracking as a target...
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03/08/2022
Semantic-Preserving Linguistic Steganography by Pivot Translation and Semantic-Aware Bins Coding
Linguistic steganography (LS) aims to embed secret information into a hi...
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02/03/2022
Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback
We consider the problem of estimating channel fading coefficients (model...
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10/07/2021
Structured Channel Covariance Estimation from Limited Samples for Large Antenna Arrays
In massive MIMO systems, the knowledge of channel covariance matrix is c...
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09/30/2021
Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging
In light of the success of contrastive learning in the image domain, cur...
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07/29/2021
Achievable Regions and Precoder Designs for the Multiple Access Wiretap Channels with Confidential and Open Messages
This paper investigates the secrecy capacity region of multiple access w...
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07/18/2021
Quantization-Aided Secrecy: FD C-RAN Communications with Untrusted Radios
In this work, we study a full-duplex (FD) cloud radio access network (C-...
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06/11/2021
New challenges in covariance estimation: multiple structures and coarse quantization
In this self-contained chapter, we revisit a fundamental problem of mult...
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03/10/2021
VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
MoCo is effective for unsupervised image representation learning. In thi...
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02/21/2021
Information Bottleneck for a Rayleigh Fading MIMO Channel with an Oblivious Relay
This paper considers the information bottleneck (IB) problem of a Raylei...
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01/24/2021
Information Bottleneck for an Oblivious Relay with Channel State Information: the Vector Case
This paper considers the information bottleneck (IB) problem of a Raylei...
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08/25/2020
Dual-Polarized FDD Massive MIMO: A Comprehensive Framework
We propose a comprehensive scheme for realizing a massive multiple-input...
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12/10/2019
On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting
The convex property of a nonlinear wireless power transfer (WPT) is char...
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12/05/2019
Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO
A large majority of cellular networks deployed today make use of Frequen...
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10/31/2019
Structured Channel Covariance Estimation from Limited Samples in Massive MIMO
Obtaining channel covariance knowledge is of great importance in various...
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07/28/2019
ROAM: Recurrently Optimizing Tracking Model
Online updating a tracking model to adapt to object appearance variation...
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07/12/2019
Visual Tracking via Dynamic Memory Networks
Template-matching methods for visual tracking have gained popularity rec...
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05/24/2019
Generative adversarial network based on chaotic time series
Generative adversarial network (GAN) is gaining increased importance in ...
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03/20/2018
Learning Dynamic Memory Networks for Object Tracking
Template-matching methods for visual tracking have gained popularity rec...
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02/14/2018
Sum Secrecy Rate Maximization in a Multi-Carrier MIMO Wiretap Channel with Full-Duplex Jamming
In this paper we address a worst-case weighted sum rate maximization pro...
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08/13/2017
