DCAE: A dual conditional autoencoder framework for the reconstruction from EEG into image
How to design a suitable model to extract the semantic features contained in
Electroencephalography (EEG) and to visualize them as corresponding images, also known …
Electroencephalography (EEG) and to visualize them as corresponding images, also known …
Wavelet-based texture reformation network for image super-resolution
Most reference-based image super-resolution (RefSR) methods directly leverage the raw
features extracted from a pretrained VGG encoder to transfer the matched texture …
features extracted from a pretrained VGG encoder to transfer the matched texture …
[HTML][HTML] Robust time series denoising with learnable wavelet packet transform
Noise in the data is one of the main cause of model performance drop. Denoising is
therefore a critical step in most data pipelines. In this paper we propose to fuse the learning …
therefore a critical step in most data pipelines. In this paper we propose to fuse the learning …
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting
The cloud-based multimedia service becomes increasingly popular in the last decade,
however, it poses a serious threat to the client's privacy. To address this issue, many …
however, it poses a serious threat to the client's privacy. To address this issue, many …
Deep Motion Regularizer for Video Snapshot Compressive Imaging
Video snapshot compressive imaging (SCI) samples 3D high-speed video frames with
temporally varying spatial modulation and compresses them into a single 2D measurement …
temporally varying spatial modulation and compresses them into a single 2D measurement …
An Efficient and Robust Underwater Image Compression Scheme Based on Autoencoder
J Liu, F Yuan, C Xue, Z Jia… - IEEE Journal of Oceanic …, 2023 - ieeexplore.ieee.org
Images occupy a prominent place in data because they are more visually appealing than
sounds or texts. Acoustic waves are the only feasible alternative for long-distance …
sounds or texts. Acoustic waves are the only feasible alternative for long-distance …
Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000
This work proposes to augment the lifting steps of the conventional wavelet transform with
additional neural network assisted lifting steps. These additional steps reduce residual …
additional neural network assisted lifting steps. These additional steps reduce residual …
Lossy compression with universal distortion
We consider a novel variant of-semifaithful lossy coding in which the distortion measure is
revealed only to the encoder and only at run-time, as well as an extension of it in which the …
revealed only to the encoder and only at run-time, as well as an extension of it in which the …
A complexity reduction method for VVC intra prediction based on statistical analysis and SAE-CNN
J Zhao, P Dai, Q Zhang - Electronics, 2021 - mdpi.com
Compared with High Efficiency Video Coding (HEVC), the latest video coding standard
Versatile Video Coding Standard (VVC), due to the introduction of many novel technologies …
Versatile Video Coding Standard (VVC), due to the introduction of many novel technologies …
A Physics-Guided MFL Deformed Defect Recovery Method
Magnetic flux leakage (MFL) testing and analysis is an effective non-destructive testing
(NDT) method of pipeline health. The health status of pipelines is evaluated by analyzing …
(NDT) method of pipeline health. The health status of pipelines is evaluated by analyzing …