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pro vyhledávání: '"Khoshkhahtinat, Atefeh"'
Autor:
Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
NASA's Solar Dynamics Observatory (SDO) mission collects extensive data to monitor the Sun's daily activity. In the realm of space mission design, data compression plays a crucial role in addressing the challenges posed by limited telemetry rates. Th
Externí odkaz:
http://arxiv.org/abs/2407.15730
While replacing Gaussian decoders with a conditional diffusion model enhances the perceptual quality of reconstructions in neural image compression, their lack of inductive bias for image data restricts their ability to achieve state-of-the-art perce
Externí odkaz:
http://arxiv.org/abs/2403.16258
Autor:
Zafari, Ali, Khoshkhahtinat, Atefeh, Grajeda, Jeremy A., Mehta, Piyush M., Nasrabadi, Nasser M., Boucheron, Laura E., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them efficiently transferable to the ground station is a twofold decision to m
Externí odkaz:
http://arxiv.org/abs/2311.02855
Epilepsy is a neurological disorder identified by sudden and recurrent seizures, which are believed to be accompanied by distinct changes in brain dynamics. Exploring the dynamic changes of brain network states during seizures can pave the way for im
Externí odkaz:
http://arxiv.org/abs/2310.03151
Autor:
Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Akyash, Mohammad, Kashiani, Hossein, Nasrabadi, Nasser M.
Transform and entropy models are the two core components in deep image compression neural networks. Most existing learning-based image compression methods utilize convolutional-based transform, which lacks the ability to model long-range dependencies
Externí odkaz:
http://arxiv.org/abs/2309.10799
Autor:
Zafari, Ali, Khoshkhahtinat, Atefeh, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
Missions studying the dynamic behaviour of the Sun are defined to capture multi-spectral images of the sun and transmit them to the ground station in a daily basis. To make transmission efficient and feasible, image compression systems need to be exp
Externí odkaz:
http://arxiv.org/abs/2309.10791
Autor:
Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
NASA's Solar Dynamics Observatory (SDO) mission collects large data volumes of the Sun's daily activity. Data compression is crucial for space missions to reduce data storage and video bandwidth requirements by eliminating redundancies in the data. I
Externí odkaz:
http://arxiv.org/abs/2309.10784
Autor:
Zafari, Ali, Khoshkhahtinat, Atefeh, Mehta, Piyush, Saadabadi, Mohammad Saeed Ebrahimi, Akyash, Mohammad, Nasrabadi, Nasser M.
The design of a neural image compression network is governed by how well the entropy model matches the true distribution of the latent code. Apart from the model capacity, this ability is indirectly under the effect of how close the relaxed quantizat
Externí odkaz:
http://arxiv.org/abs/2308.02620
Autor:
Zafari, Ali, Khoshkhahtinat, Atefeh, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., da Silva, Daniel, Kirk, Michael S. F.
NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of data each day from its geosynchronous orbit in space. SDO data includes images of the Sun captured at different wavelengths, with the primary scientific goal of understanding th
Externí odkaz:
http://arxiv.org/abs/2210.06478
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