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Carissa Lew
Publications - 6
Citations - 247
Carissa Lew is an academic researcher. The author has contributed to research in topics: Encoder & Data compression. The author has an hindex of 6, co-authored 6 publications receiving 160 citations.
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Learned Video Compression
TL;DR: This work presents a new algorithm for video coding, learned end-to-end for the low-latency mode, which outperforms all existing video codecs across nearly the entire bitrate range, and is the first ML-based method to do so.
Posted Content
Learned Video Compression
TL;DR: In this paper, the authors proposed an end-to-end ML-based spatial rate control algorithm for low-latency video coding, which outperforms all existing video codecs across nearly the entire bitrate range.
Patent
Using generative adversarial networks in compression
TL;DR: In this article, a machine-learned encoder and decoder are coupled with a discriminator to reduce compression artifacts in the reconstructed content, and the discriminator is coupled to receive one or more input content and output a discrimination prediction that discriminates whether the input content is the original or reconstructed version of the content.
Patent
Autoencoding image residuals for improving upsampled images
TL;DR: In this article, an enhanced encoder system generates residual bitstreams representing additional image information that can be used by an image enhancement system to improve a low quality image by comparing the upsampled image to a true high quality image.
Patent
Adaptive compression based on content
TL;DR: In this paper, a machine-learned encoder and decoder are deployed by a sender system to encode content for transmission to a receiver system, and the decoder can be deployed by the receiver system to decode the encoded content and reconstruct the original content.