Search Results for author: Atefeh Khoshkhahtinat

Found 8 papers, 0 papers with code

Neural-based Compression Scheme for Solar Image Data

no code implementations6 Nov 2023 Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda, Piyush M. Mehta, Nasser M. Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva

In this work, we propose an adversarially trained neural network, equipped with local and non-local attention modules to capture both the local and global structure of the image resulting in a better trade-off in rate-distortion (RD) compared to conventional hand-engineered codecs.

Image Compression

Dynamic Changes of Brain Network during Epileptic Seizure

no code implementations4 Oct 2023 Atefeh Khoshkhahtinat, Hoda Mohammadzade

Epilepsy is a neurological disorder identified by sudden and recurrent seizures, which are believed to be accompanied by distinct changes in brain dynamics.

Multi-Context Dual Hyper-Prior Neural Image Compression

no code implementations19 Sep 2023 Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi

In addition, we introduce a novel entropy model that incorporates two different hyperpriors to model cross-channel and spatial dependencies of the latent representation.

Image Compression

Multi-spectral Entropy Constrained Neural Compression of Solar Imagery

no code implementations19 Sep 2023 Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva

Recently successful end-to-end optimized neural network-based image compression systems have shown great potential to be used in an ad-hoc manner.

Image Compression

Frequency Disentangled Features in Neural Image Compression

no code implementations4 Aug 2023 Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi

The design of a neural image compression network is governed by how well the entropy model matches the true distribution of the latent code.

Disentanglement Image Compression +1

Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory

no code implementations12 Oct 2022 Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel da Silva, Michael S. F. Kirk

We have designed an ad-hoc ANN-based image compression scheme to reduce the amount of data needed to be stored and retrieved on space missions studying solar dynamics.

Image Compression

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