Ricardo Marques

Orcid: 0000-0001-8261-4409

According to our database1, Ricardo Marques authored at least 45 papers between 2006 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Fast and Accurate Gaussian Process Modelling of Real-World Materials.
ACM Trans. Graph., June, 2026

BenchSeg: A Large-Scale Dataset and Benchmark for Multi-View Food Video Segmentation.
CoRR, January, 2026

Forensic analysis of the infotainment system of BMW vehicles.
Forensic Sci. Int. Digit. Investig., 2026

PreVolE: A Robust Data-Driven Framework for Text-Guided Food Volume Estimation.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

Joint Multiscale Image Learning for Segmentation in Macroscopic and Microscopic Pathology Images.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation.
CoRR, May, 2025

FoodMem: Near real-time and precise food video segmentation.
Pattern Recognit. Lett., 2025

Adaptive Vision-Language Prompt Learners for Learning with Noisy Labels.
J. Vis. Commun. Image Represent., 2025

A Cross-Platform, WebGPU-Based 3D Engine for Real-Time Rendering and XR Applications.
Proceedings of the 30th International Conference on 3D Web Technology, 2025

Enriching Unbounded Appearances for Neural Radiance Fields.
Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025

VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

VolE<sup>++</sup>: A Text-Guided Point-Cloud Framework for Food 3D Reconstruction and Volume Estimation.
Proceedings of the Computer Analysis of Images and Patterns, 2025

2024
Decoding class dynamics in learning with noisy labels.
Pattern Recognit. Lett., 2024

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels.
Neural Networks, 2024

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results.
CoRR, 2024

MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering.
CoRR, 2024

VolETA: One- and Few-shot Food Volume Estimation.
CoRR, 2024

Improving Automotive Aftermarket Forecasting with MLOps.
Proceedings of the 11th International Conference on Future Internet of Things and Cloud, 2024

MVSBoost: An Efficient Point Cloud-Based 3D Reconstruction.
Proceedings of the Artificial Intelligence Research and Development, 2024

2023
Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields.
CoRR, 2023

CCLM: Class-Conditional Label Noise Modelling.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

2022
Gaussian Process for Radiance Functions on the Sphere.
Comput. Graph. Forum, 2022

Dynamic Combination of Crowd Steering Policies Based on Context.
Comput. Graph. Forum, 2022

Interactive VPL-based global illumination on the GPU using fuzzy clustering.
Comput. Graph., 2022

Class-conditional Importance Weighting for Deep Learning with Noisy Labels.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
Extensible Spherical Fibonacci Grids.
IEEE Trans. Vis. Comput. Graph., 2021

A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation.
Proc. ACM Comput. Graph. Interact. Tech., 2021

2020
Spectral Analysis of Quadrature Rules and Fourier Truncation-Based Methods Applied to Shading Integrals.
IEEE Trans. Vis. Comput. Graph., 2020

2019
Optimal Sample Weights for Hemispherical Integral Quadratures.
Comput. Graph. Forum, 2019

2018
RAID-B2K, transforming BPMN conceptual schemas into Kettle execution primitives.
Int. J. Inf. Decis. Sci., 2018

2017
Optimizing layout using spatial quality metrics and user preferences.
Graph. Model., 2017

Gradient-based steering for vision-based crowd simulation algorithms.
Comput. Graph. Forum, 2017

2016
INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual.
Linguamática, 2016

Two-Level Adaptive Sampling for Illumination Integrals using Bayesian Monte Carlo.
Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

2015
Efficient Quadrature Rules for Illumination Integrals: From Quasi Monte Carlo to Bayesian Monte Carlo
Synthesis Lectures on Computer Graphics and Animation, Morgan & Claypool Publishers, ISBN: 978-3-031-79567-1, 2015

Automatic Generation of ETL Physical Systems from BPMN Conceptual Models.
Proceedings of the Model and Data Engineering - 5th International Conference, 2015

Conceptual-Physical Bridging - From BPMN Models to Physical Implementations on Kettle.
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), 2015

Using a Domain-Specific Language to Enrich ETL Schemas.
Proceedings of the New Trends in Databases and Information Systems, 2015

2014
Bayesian and Quasi Monte Carlo Spherical Integration for Illumination Integrals.
Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

2013
Intégration sphérique Bayésien et Quasi-Monte Carlo pour l'illumination globaleBayesian and Quasi-Monte Carlo spherical integration for global illumination.
PhD thesis, 2013

A Spherical Gaussian Framework for Bayesian Monte Carlo Rendering of Glossy Surfaces.
IEEE Trans. Vis. Comput. Graph., 2013

Spherical Fibonacci Point Sets for Illumination Integrals.
Comput. Graph. Forum, 2013

Improving SAT Solver Efficiency Using a Multi-Core Approach.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2006
Fast Conversion of H.264/AVC Integer Transform Coefficients into DCT Coefficients.
Proceedings of the SIGMAP 2006, 2006

Serial LDPC decoding on a SIMD DSP using horizontal scheduling.
Proceedings of the 14th European Signal Processing Conference, 2006


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