Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.
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Updated
Apr 28, 2024 - Python
Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.
Implementation of the paper LEARN: Learned Experts’ Assessment-based Reconstruction Network for Sparse-data CT Hu Chen, Yi Zhang, Yunjin Chen, et. al
Cifar-10 Image Reconstruction using Auto-encoder Models
Using optimizations algorithms to reconstruct images from a set of basic shapes
Shape Analysis for AI-Reconstructed Images
Implementation of "Understanding Deep Image Representations by Inverting Them"
Image Encoding software in MATLAB. Quantize and Dequantize Image and using of Huffman encoding to transform Images to bitstreams according to JPEG universal standard.
This project was completed in 2018 as a part of my postgraduate studies in Biomedical Engineering
reconstruct the scan image to modify the slipping to horizontal direction
Audio encoder for reconstruct, denoise image or audio spectrogram
Capsule Network implementation in Tensorflow
Reconstructing images using VAE
Reconstruction d'une image médicale par l'usage de la transformée inverse de Radon sur les données d'atténuation des radiations traversant le tissu biologique.
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
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