64 citations · 178 across the 14 of their papers we have counts for
14 papers
No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
Wu Chen, Qiuping Jiang, Wei Zhou +3
Three-dimensional (3D) point cloud, as an emerging visual media format, is increasingly favored by consumers as it can provide more realistic visual information than two-dimensiona…
Object Segmentation by Mining Cross-Modal Semantics
Zongwei Wu, Jingjing Wang, Zhuyun Zhou +5
Multi-sensor clues have shown promise for object segmentation, but inherent noise in each sensor, as well as the calibration error in practice, may bias the segmentation accuracy.…
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
Runmin Cong, Qi Qin, Chen Zhang +4
Fully-supervised salient object detection (SOD) methods have made great progress, but such methods often rely on a large number of pixel-level annotations, which are time-consuming…
Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling
Wei Zhou, Qi Yang, Qiuping Jiang +2
Objective quality assessment of 3D point clouds is essential for the development of immersive multimedia systems in real-world applications. Despite the success of perceptual quali…
Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metric
Hangwei Chen, Feng Shao, Xiongli Chai +4
Arbitrary neural style transfer is a vital topic with great research value and wide industrial application, which strives to render the structure of one image using the style of an…
Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding
Wei Gao, Qiuping Jiang, Ronggang Wang +3
Consistent quality oriented rate control in video coding has attracted much more attention. However, the existing efforts only focus on decreasing variations between every two adja…
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
Runmin Cong, Haowei Yang, Qiuping Jiang +5
The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload.…
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation
Qiuping Jiang, Jiawu Xu, Yudong Mao +3
Blind image quality assessment (BIQA), which aims to accurately predict the image quality without any pristine reference information, has been extensively concerned in the past dec…
A Brief Survey on Adaptive Video Streaming Quality Assessment
Wei Zhou, Xiongkuo Min, Hong Li +1
Quality of experience (QoE) assessment for adaptive video streaming plays a significant role in advanced network management systems. It is especially challenging in case of dynamic…
Towards Top-Down Just Noticeable Difference Estimation of Natural Images
Qiuping Jiang, Zhentao Liu, Shiqi Wang +2
Just noticeable difference (JND) of natural images refers to the maximum pixel intensity change magnitude that typical human visual system (HVS) cannot perceive. Existing efforts o…
No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness
Wei Zhou, Jiahua Xu, Qiuping Jiang +1
360-degree/omnidirectional images (OIs) have achieved remarkable attentions due to the increasing applications of virtual reality (VR). Compared to conventional 2D images, OIs can…
Progressive Self-Guided Loss for Salient Object Detection
Sheng Yang, Weisi Lin, Guosheng Lin +2
We present a simple yet effective progressive self-guided loss function to facilitate deep learning-based salient object detection (SOD) in images. The saliency maps produced by th…
Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
Wei Zhou, Qiuping Jiang, Yuwang Wang +2
Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions. However, effectiv…
A Dilated Inception Network for Visual Saliency Prediction
Sheng Yang, Guosheng Lin, Qiuping Jiang +1
Recently, with the advent of deep convolutional neural networks (DCNN), the improvements in visual saliency prediction research are impressive. One possible direction to approach t…