21 citations · 58 across the 11 of their papers we have counts for
9 papers · 1 filter
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…
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…