1 citations · 6 across the 6 of their papers we have counts for
6 papers
Space-Time Video Super-resolution with Neural Operator
Yuantong Zhang, Hanyou Zheng, Daiqin Yang +3
This paper addresses the task of space-time video super-resolution (ST-VSR). Existing methods generally suffer from inaccurate motion estimation and motion compensation (MEMC) prob…
Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding
Cunhui Dong, Haichuan Ma, Haotian Zhang +3
Neural network-based image coding has been developing rapidly since its birth. Until 2022, its performance has surpassed that of the best-performing traditional image coding framew…
Learning a Single Convolutional Layer Model for Low Light Image Enhancement
Yuantong Zhang, Baoxin Teng, Daiqin Yang +4
Low-light image enhancement (LLIE) aims to improve the illuminance of images due to insufficient light exposure. Recently, various lightweight learning-based LLIE methods have been…
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform
Dongmei Xue, Haichuan Ma, Li Li +2
Volumetric image compression has become an urgent task to effectively transmit and store images produced in biological research and clinical practice. At present, the most commonly…
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
Dongmei Xue, Haichuan Ma, Li Li +2
With the rapid development of whole brain imaging technology, a large number of brain images have been produced, which puts forward a great demand for efficient brain image compres…
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma, Dong Liu, Cunhui Dong +2
Lossy image compression is a many-to-one process, thus one bitstream corresponds to multiple possible original images, especially at low bit rates. However, this nature was seldom…