21 citations · 58 across the 11 of their papers we have counts for
11 papers
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images
Zicheng Zhang, Wei Sun, Yingjie Zhou +5
Computer graphics images (CGIs) are artificially generated by means of computer programs and are widely perceived under various scenarios, such as games, streaming media, etc. In p…
Deep Neural Network for Blind Visual Quality Assessment of 4K Content
Wei Lu, Wei Sun, Xiongkuo Min +7
The 4K content can deliver a more immersive visual experience to consumers due to the huge improvement of spatial resolution. However, existing blind image quality assessment (BIQA…
A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences
Yu Fan, Zicheng Zhang, Wei Sun +5
Point cloud is one of the most widely used digital formats of 3D models, the visual quality of which is quite sensitive to distortions such as downsampling, noise, and compression.…
DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary
Linjie Wang, Quan Zhou, Chenfeng Jiang +2
Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years. However, most of them ignore the be…
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention
Huimin Shi, Quan Zhou, Yinghao Ni +2
Object detection often costs a considerable amount of computation to get satisfied performance, which is unfriendly to be deployed in edge devices. To address the trade-off between…
FPB: Feature Pyramid Branch for Person Re-Identification
Suofei Zhang, Zirui Yin, Xiofu Wu +3
High performance person Re-Identification (Re-ID) requires the model to focus on both global silhouette and local details of pedestrian. To extract such more representative feature…
BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation
Quan Zhou, Dechun Cong, Bin Kang +4
Exploring contextual information in convolution neural networks (CNNs) has gained substantial attention in recent years for semantic segmentation. This paper introduces a Bi-direct…
FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation
Jia Liu, Quan Zhou, Yong Qiang +3
This paper introduces a lightweight convolutional neural network, called FDDWNet, for real-time accurate semantic segmentation. In contrast to recent advances of lightweight networ…
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
Yu Wang, Quan Zhou, Xiaofu Wu
The recent years have witnessed great advances for semantic segmentation using deep convolutional neural networks (DCNNs). However, a large number of convolutional layers and featu…
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
Yu Wang, Quan Zhou, Jia Liu +4
The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this problem,na…
Fast Dynamic Routing Based on Weighted Kernel Density Estimation
Suofei Zhang, Wei Zhao, Xiaofu Wu +1
Capsules as well as dynamic routing between them are most recently proposed structures for deep neural networks. A capsule groups data into vectors or matrices as poses rather than…