331 citations · 422 across the 10 of their papers we have counts for
10 papers
REMAC: Reference-Based Martian Asymmetrical Image Compression
Qing Ding, Mai Xu, Shengxi Li +2
To expedite space exploration on Mars, it is indispensable to develop an efficient Martian image compression method for transmitting images through the constrained Mars-to-Earth co…
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
Junpeng Jing, Jiankun Li, Pengfei Xiong +7
Correlation based stereo matching has achieved outstanding performance, which pursues cost volume between two feature maps. Unfortunately, current methods with a fixed model do not…
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus
Qunliang Xing, Mai Xu, Xin Deng +1
Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing qu…
Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos
Minglang Qiao, Yufan Liu, Mai Xu +4
Visual and audio events simultaneously occur and both attract attention. However, most existing saliency prediction works ignore the influence of audio and only consider vision mod…
Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
Li Yang, Mai Xu, Deng Xin +1
Due to the strong correlation between visual attention and perceptual quality, many methods attempt to use human saliency information for image quality assessment. Although this me…
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video
Jianyi Wang, Xin Deng, Mai Xu +2
The past few years have witnessed fast development in video quality enhancement via deep learning. Existing methods mainly focus on enhancing the objective quality of compressed vi…
Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution
Xin Deng, Ren Yang, Mai Xu +1
In single image super-resolution (SISR), given a low-resolution (LR) image, one wishes to find a high-resolution (HR) version of it which is both accurate and photo-realistic. Rece…
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion
Xin Deng, Pier Luigi Dragotti
In this paper, we propose a novel deep convolutional neural network to solve the general multi-modal image restoration (MIR) and multi-modal image fusion (MIF) problems. Different…
Reducing Complexity of HEVC: A Deep Learning Approach
Mai Xu, Tianyi Li, Zulin Wang +3
High Efficiency Video Coding (HEVC) significantly reduces bit-rates over the proceeding H.264 standard but at the expense of extremely high encoding complexity. In HEVC, the quad-t…
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries
Pingfan Song, Xin Deng, João F. C. Mota +3
Real-world data processing problems often involve various image modalities associated with a certain scene, including RGB images, infrared images or multi-spectral images. The fact…