6 citations · 6 across the 3 of their papers we have counts for
3 papers
Quality and Complexity Assessment of Learning-Based Image Compression Solutions
João Dick, Brunno Abreu, Mateus Grellert +1
This work presents an analysis of state-of-the-art learning-based image compression techniques. We compare 8 models available in the Tensorflow Compression package in terms of visu…
Relying on a rate constraint to reduce Motion Estimation complexity
Gabriel B. Sant'Anna, Luiz Henrique Cancellier, Ismael Seidel +2
This paper proposes a rate-based candidate elimination strategy for Motion Estimation, which is considered one of the main sources of encoder complexity. We build from findings of…
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Shubham Rai, Walter Lau Neto, Yukio Miyasaka +37
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is c…