95 citations · 101 across the 4 of their papers we have counts for
6 papers
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Xu Liu, Jianing Li, Xiaopeng Fan +1
Event cameras, offering high temporal resolutions and high dynamic ranges, have brought a new perspective to address common challenges (e.g., motion blur and low light) in monocula…
Deep Joint Source-Channel Coding for Multi-Task Network
Mengyang Wang, Zhicong Zhang, Jiahui Li +2
Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a single end and are not…
COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou, Jian Zhang, Xiaopeng Fan +2
Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods…
SNR-adaptive deep joint source-channel coding for wireless image transmission
Mingze Ding, Jiahui Li, Mengyao Ma +1
Considering the problem of joint source-channel coding (JSCC) for multi-user transmission of images over noisy channels, an autoencoder-based novel deep joint source-channel coding…
NormalNet: Learning-based Normal Filtering for Mesh Denoising
Wenbo Zhao, Xianming Liu, Yongsen Zhao +2
Mesh denoising is a critical technology in geometry processing that aims to recover high-fidelity 3D mesh models of objects from their noise-corrupted versions. In this work, we pr…
A nonlinear transform based analog video transmission framework
Yongtao Liu, Xiaopeng Fan, Yang Wang +2
Soft-cast, a cross-layer design for wireless video transmission, is proposed to solve the drawbacks of digital video transmission: threshold transmission framework achieving the sa…