Ricardo Marques

Ricardo Marques is a Serra Húnter Lecturer at the University of Barcelona

Profile summary

Ricardo Marques is a Serra Húner (tenure track) Lecturer at the Department of Mathematics and Informatics of University of Barcelona (UB), where I also had the chance to extend my research activities to deep learning methods in collaboration with Professor Petia Radeva. He received his BSc degree in Informatics (2007) and MSc degree from University of Minho, Portugal (2009), after which he worked as a researcher in real-time global illumination in the same university. He joined INRIA (Institut National de Recherche en Informatique et Automatique, France) and the FRVSense team as a PhD student in the fall 2010 under the supervision of prof. Kadi Bouatouch in close collaboration with Dr. Christian Bouville and Professor Luís Paulo Santos.
In his thesis, he worked on spherical Integration methods applied to light transport simulation. He defended his PhD thesis in the fall 2013 and joined the Mimetic INRIA research team in 2014, where he worked in the field of Crowd Simulation. From fall 2016 to summer 2020 he worked in the Interactive Technologies Group (GTI) of Professor Josep Blat at University Pompeu Fabra (Barcelona), first supported by a Marie Sklodowska-Curie individual fellowship on the topic of Bayesian Monte Carlo Rendering, and then as a professor Lector.

Latest publications

Ricardo Marques has 53 publications on Google Scholar.
Only the last 20 publications are shown here. Access Ricardo Marques Google Scholar Profile

Physically Informed 3D Food Reconstruction: Methods and Results

2026   |   Jiangpeng He, Yuhao Chen, Gautham Vinod, Xiaoyan Zhang, Talha Ibn Mahmud, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Yawei Jueluo, Chengyu Shi, Pengyu Wang, Pengcheng Xi, Alexander Wong, Fengqing Zhu   |   IEEE Journal of Biomedical and Health Informatics, 2026

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Vole: a point-cloud framework for food 3D reconstruction and volume estimation

2026   |   Umair Haroon, Ahmad AlMughrabi, Thanasis Zoumpekas, Ricardo Marques, Petia Radeva   |   Scientific Reports, 2026

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BenchSeg: A Large-Scale Dataset and Benchmark for Multi-View Food Video Segmentation

2026   |   Ahmad AlMughrabi, Guillermo Rivo, Carlos Jiménez-Farfán, Umair Haroon, Farid Al-Areqi, Hyunjun Jung, Benjamin Busam, Ricardo Marques, Petia Radeva   |   arXiv preprint arXiv:2601.07581, 2026

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Fast and Accurate Gaussian Process Modelling of Real-World Materials

2026   |   Arnau Colom, Christian Bouville, Julien Pettre, Kadi Bouatouch, Ricardo Marques   |   ACM Transactions on Graphics 45 (3), 1-18, 2026

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FoodMem: Near real-time and precise food video segmentation

2025   |   Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, Petia Radeva   |   Pattern Recognition Letters 192, 59-64, 2025

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A Cross-Platform, WebGPU-Based 3D Engine for Real-Time Rendering and XR Applications

2025   |   Alejandro Rodríguez, Pablo Luis García, Juan Sebastián Marquerie, Ricardo Marques, Josep Blat   |   Proceedings of the 30th International Conference on 3D Web Technology, 1-9, 2025

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VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction

2025   |   Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva   |   Proceedings of the Computer Vision and Pattern Recognition Conference, 450-457, 2025

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VolE: A Text-Guided Point-Cloud Framework for Food 3D Reconstruction and Volume Estimation

2025   |   Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva   |   International Conference on Computer Analysis of Images and Patterns, 386-397, 2025

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Dual Polarity Prompts with Stochastic Entropy Perturbation for Label Noise

2025   |   Changhui Hu, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva, Grup de Recerca de Tecnologies

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Enriching Unbounded Appearances for Neural Radiance Fields

2025   |   Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva   |   Iberian Conference on Pattern Recognition and Image Analysis, 80-96, 2025

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PROCRASTINATION AND STRESS PATTERNS IN UNIVERSITY STUDENTS: A DATA-DRIVEN ANALYSIS

2025   |   F Susin, I Rodriguez, A Puig, R Marques, M Salamó, S Balocco   |   EDULEARN25 Proceedings, 3001-3006, 2025

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

2024   |   Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang   |   arXiv preprint arXiv:2407.09285, 2024

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Decoding class dynamics in learning with noisy labels

2024   |   Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva   |   Pattern Recognition Letters 184, 239-245, 2024

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MVSBoost: An Efficient Point Cloud-based 3D Reconstruction

2024   |   Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva   |   Artificial Intelligence Research and Development, 223-232, 2024

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VolETA: One-and Few-shot Food Volume Estimation

2024   |   Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva   |   arXiv preprint arXiv:2407.01717, 2024

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MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering

2024   |   Ahmad AlMughrabi, Ricardo Marques, Petia Radeva   |   arXiv preprint arXiv:2407.02668, 2024

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Adaptive Vision-Language Prompt Learners for Learning with Noisy Labels

2024   |   Changhui Hu, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva   |   Available at SSRN 4968034, 2024

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Interactive VPL-based Global Illumination on the GPU Using Adaptive Fuzzy Clustering

2024   |   Arnau Colom, Ricardo Marques, Luís Paulo Santos   |   The Eurographics Association, 2024

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Bayesian DivideMix++ for Enhanced Learning with Noisy Labels

2024   |   Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva   |   Neural Networks 172, 106122, 2024

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Albert Tatjer¹, Bhalaji Nagarajan¹ (✉)

2023   |   Petia Radeva   |   Pattern Recognition and Image Analysis: 11th Iberian Conference, IbPRIA 2023 …, 2023

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