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David Güera

4 accepted papers

2023

UPSCALE: Unconstrained Channel Pruning

ICML 2023poster

As neural networks grow in size and complexity, inference speeds decline. To combat this, one of the most effective compression techniques -- channel pruning -- removes channels from weights. However, for multi-branch segments of a model, channel removal can introduce inference-time memory copies. I…

2022

Generative Multiplane Images: Making a 2D GAN 3D-Aware

ECCV 2022poster

"What is really needed to make an existing 2D GAN 3Daware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifications are absolutely necessary: 1) a multiplane image style generator branch which produces a set of alpha maps condit…

2020

Learning Eating Environments Through Scene Clustering

ICASSP 2020accepted

It is well known that dietary habits have a significant influence on health. While many studies have been conducted to understand this relationship, little is known about the relationship between eating environments and health. Yet researchers and health agencies around the world have recognized the…

Cited by 0SourceScholar
2019

Shadow Removal Detection and Localization for Forensics Analysis

ICASSP 2019accepted

The recent advancements in image processing and computer vision allow realistic photo manipulations. In order to avoid the distribution of fake imagery, the image forensics community is working towards the development of image authenticity verification tools. Methods based on shadow analysis are par…

Cited by 0SourceScholar