Abstract: Motion blur estimation is a critical and fundamental task in scene analysis and image restoration. While most state-of-the-art deep learning-based methods for single-image motion image ...
Brain activities often follow an exponential family of distributions. The exponential distribution is the maximum entropy distribution of continuous random variables in the presence of a mean. The ...
Abstract: We propose GC-VASE, a graph convolutional-based variational autoencoder that leverages contrastive learning for subject representation learning from EEG data. Our method successfully learns ...
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