André F. R. Guarda

Orcid: 0000-0001-5996-1074

According to our database1, André F. R. Guarda authored at least 23 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Deep Learning-Based Compressed Domain Multimedia for Man and Machine: A Taxonomy and Application to Point Cloud Classification.
IEEE Access, 2023

Deep Learning-based Point Cloud Geometry Coding with Attention Models.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Deep Learning-Based Compressed Domain Point Cloud Classification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Learning-Based Rate Control for Learning-Based Point Cloud Geometry Coding.
Proceedings of the IEEE International Conference on Image Processing, 2023

Point Cloud Geometry and Color Coding in a Learning-Based Ecosystem for JPEG Coding Standards.
Proceedings of the IEEE International Conference on Image Processing, 2023

Learning-based Point Cloud Geometry Coding Rate Control.
Proceedings of the Data Compression Conference, 2023

2022
IT/IST/IPLeiria Response to the Call for Proposals on JPEG Pleno Point Cloud Coding.
CoRR, 2022

Impact of Conventional and Deep Learning-based Point Cloud Geometry Coding on Deep Learning-based Classification Performance.
Proceedings of the IEEE International Symposium on Multimedia, 2022

Double-Deep Learning-Based Point Cloud Geometry Coding with Adaptive Super-Resolution.
Proceedings of the 10th European Workshop on Visual Information Processing, 2022

Deep Learning-based Point Cloud Joint Geometry and Color Coding: Designing a Perceptually-Driven Differentiable Training Distortion Metric.
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

2021
Constant Size Point Cloud Clustering: A Compact, Non-Overlapping Solution.
IEEE Trans. Multim., 2021

Adaptive Deep Learning-Based Point Cloud Geometry Coding.
IEEE J. Sel. Top. Signal Process., 2021

Neighborhood Adaptive Loss Function for Deep Learning-Based Point Cloud Coding With Implicit and Explicit Quantization.
IEEE Multim., 2021

2020
Deep Learning-based Point Cloud Geometry Coding with Resolution Scalability.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Deep Learning-Based Point Cloud Geometry Coding: RD Control Through Implicit and Explicit Quantization.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Point Cloud Geometry Scalable Coding With a Single End-to-End Deep Learning Model.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Point Cloud Coding: Adopting a Deep Learning-based Approach.
Proceedings of the Picture Coding Symposium, 2019

Deep Learning-Based Point Cloud Coding: A Behavior and Performance Study.
Proceedings of the 8th European Workshop on Visual Information Processing, 2019

2017
A method to improve HEVC lossless coding of volumetric medical images.
Signal Process. Image Commun., 2017

Improving point cloud to surface reconstruction with generalized Tikhonov regularization.
Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

2016
Compression of medical images using MRP with bi-directional prediction and histogram packing.
Proceedings of the 2016 Picture Coding Symposium, 2016

2015
Contributions to lossless coding of medical images using minimum rate predictors.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
A novel trilateral filter technique for depth map processing in 3D video coding.
Proceedings of the 3DTV-Conference 2014: The True Vision, 2014


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