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Found 10 papers, 0 papers with code
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis
The global spatial context is built upon the Transformer, which is specifically designed for image compression tasks.
Neural-based Compression Scheme for Solar Image Data
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.
Trading-off Mutual Information on Feature Aggregation for Face Recognition
The consistent improvement we observed in these benchmarks demonstrates the efficacy of our approach in enhancing FR performance.
Context-Aware Neural Video Compression on Solar Dynamics Observatory
NASA's Solar Dynamics Observatory (SDO) mission collects large data volumes of the Sun's daily activity.
Multi-Context Dual Hyper-Prior Neural Image Compression
In addition, we introduce a novel entropy model that incorporates two different hyperpriors to model cross-channel and spatial dependencies of the latent representation.
Multi-spectral Entropy Constrained Neural Compression of Solar Imagery
Recently successful end-to-end optimized neural network-based image compression systems have shown great potential to be used in an ad-hoc manner.
Frequency Disentangled Features in Neural Image Compression
The design of a neural image compression network is governed by how well the entropy model matches the true distribution of the latent code.
A Quality Aware Sample-to-Sample Comparison for Face Recognition
Our method adaptively finds and assigns more attention to the recognizable low-quality samples in the training datasets.
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
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.
Some algebraic properties of a class of integral graphs determined by their spectrum
If all the eigenvalues of the adjacency matrix of the graph $\Gamma$ are integers, then we say that $\Gamma$ is an integral graph.
Combinatorics 05C50, 05C31
