Search Results for author: Marc Górriz

Found 6 papers, 3 papers with code

DVC-P: Deep Video Compression with Perceptual Optimizations

1 code implementation22 Sep 2021 Saiping Zhang, Marta Mrak, Luis Herranz, Marc Górriz, Shuai Wan, Fuzheng Yang

In this paper, we introduce deep video compression with perceptual optimizations (DVC-P), which aims at increasing perceptual quality of decoded videos.

Video Compression

Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding

no code implementations9 Feb 2021 Marc Górriz, Saverio Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak

Simplifications include a framework for reducing the overhead of the convolutional operations, a simplified cross-component processing model integrated into the original architecture, and a methodology to perform integer-precision approximations with the aim to obtain fast and hardware-aware implementations.

End-to-End Conditional GAN-based Architectures for Image Colourisation

1 code implementation26 Aug 2019 Marc Górriz, Marta Mrak, Alan F. Smeaton, Noel E. O'Connor

In this work recent advances in conditional adversarial networks are investigated to develop an end-to-end architecture based on Convolutional Neural Networks (CNNs) to directly map realistic colours to an input greyscale image.

Assessing Knee OA Severity with CNN attention-based end-to-end architectures

1 code implementation23 Aug 2019 Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor

This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as unsupervised fine-grained detectors of the region of interest (ROI).

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