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20192024
most citedA Multimodal CNN-based Tool to Censure Inappropriate Video Scenes

5 citations · 24 across the 11 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.LG2020

Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring

Luis Felipe M. O. Henriques, Eduardo Morgan, Sergio Colcher +1

Non-Intrusive Load Monitoring (NILM) is a computational technique to estimate the power loads' appliance-by-appliance from the whole consumption measured by a single meter. In this…

cs.CV2020★ 5 cited

A Cluster-Matching-Based Method for Video Face Recognition

Paulo R C Mendes, Antonio J G Busson, Sérgio Colcher +3

Face recognition systems are present in many modern solutions and thousands of applications in our daily lives. However, current solutions are not easily scalable, especially when…

eess.IV2020★ 5 cited

Video Quality Enhancement Using Deep Learning-Based Prediction Models for Quantized DCT Coefficients in MPEG I-frames

Antonio J G Busson, Paulo R C Mendes, Daniel de S Moraes +3

Recent works have successfully applied some types of Convolutional Neural Networks (CNNs) to reduce the noticeable distortion resulting from the lossy JPEG/MPEG compression techniq…

cs.MM2020★ 1 cited

A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers

Paulo R. C. Mendes, Eduardo S. Vieira, Álan L. V. Guedes +2

Discovering and accessing specific content within educational video bases is a challenging task, mainly because of the abundance of video content and its diversity. Recommender sys…

cs.CV2020★ 2 cited

Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network

Antonio José G. Busson, Sérgio Colcher, Ruy Luiz Milidiú +2

Deep learning-based models, such as convolutional neural networks, have advanced various segments of computer vision. However, this technology is rarely applied to seismic shot gat…