Search Results for author: James Imber

Found 3 papers, 0 papers with code

Generative Adversarial Shaders for Real-Time Realism Enhancement

no code implementations24 May 2023 Arturo Salmi, Szabolcs Cséfalvay, James Imber

Application of realism enhancement methods, particularly in real-time and resource-constrained settings, has been frustrated by the expense of existing methods.

Self-Compressing Neural Networks

no code implementations30 Jan 2023 Szabolcs Cséfalvay, James Imber

This work focuses on reducing neural network size, which is a major driver of neural network execution time, power consumption, bandwidth, and memory footprint.

ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems

no code implementations18 Nov 2019 Patrick Hansen, Alexey Vilkin, Yury Khrustalev, James Imber, David Hanwell, Matthew Mattina, Paul N. Whatmough

In this work, we investigate the efficacy of the ISP in CNN classification tasks, and outline the system-level trade-offs between prediction accuracy and computational cost.

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