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Luis Herranz

Researcher in computer vision, machine learning and multimedia (Universidad Autónoma de Madrid)    

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Tag: CVPR

MAE, SlimCAE and DANICE: towards practical neural image compression

September 17, 2022 continual learning, deep learning, image compression, transfer learning

Neural image and video codecs achieve competitive rate-distortion performance. However, they have a series of practical limitations, such as relying on heavy models, that

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Mix and match networks

August 31, 2018November 5, 2023 deep learning, generative adversarial networks, transfer learning

We recently explored how we can take multiple seen image-to-image translators and reuse them to infer other unseen translations, in an approach we call

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