Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

John Kean explains how the xHE-AAC codec utilizes metadata to shift dynamic range control from content producers to listeners ...

Neuroscientist M. Catalina “Cat” Camacho spends a lot of time playing with kids. They’re not her children, but participants in her research, which looks at how young brains learn to process emotions ...

Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...

I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...

Thanks for sharing this clean codebase to your cool paper and congrats to achieving sota. I got a general question which I did not understand from the paper and this codebase about the architecture ...

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. However, while ...

Magewell introduced new Q-SYS plug-in integrations for the Pro Convert family of live IP video encoders and decoders. As a contributor to the Q-SYS Ecosystem, Magewell collaborated with Q-SYS to ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

Abstract: Brain tumors are characterized by their relatively high incidence and mortality rates, highlighting the utmost importance of precise automatic segmentation for subsequent diagnosis and ...