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20172022
most citedAn Effective Anti-Aliasing Approach for Residual Networks

22 citations · 42 across the 5 of their papers we have counts for

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cs.CV2021

Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality

Bruno Augusto Dorta Marques, Esteban Walter Gonzalez Clua, Anselmo Antunes Montenegro +1

The representation of consistent mixed reality (XR) environments requires adequate real and virtual illumination composition in real-time. Estimating the lighting of a real scenari…

cs.CV2021

Impact of Aliasing on Generalization in Deep Convolutional Networks

Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin +3

We investigate the impact of aliasing on generalization in Deep Convolutional Networks and show that data augmentation schemes alone are unable to prevent it due to structural limi…

cs.CV202022 cited

An Effective Anti-Aliasing Approach for Residual Networks

Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin +2

Image pre-processing in the frequency domain has traditionally played a vital role in computer vision and was even part of the standard pipeline in the early days of deep learning.…

cs.CV2018

Data Augmentation for Skin Lesion Analysis

Fábio Perez, Cristina Vasconcelos, Sandra Avila +1

Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin…

cs.CV201720 cited

Convolutional Neural Network Committees for Melanoma Classification with Classical And Expert Knowledge Based Image Transforms Data Augmentation

Cristina Nader Vasconcelos, Bárbara Nader Vasconcelos

Skin cancer is a major public health problem, as is the most common type of cancer and represents more than half of cancer diagnoses worldwide. Early detection influences the outco…