Serial LDPC decoding on a SIMD DSP using horizontal scheduling. - Marco Gomes 001; Vítor Manuel Mendes da Silva; Cláudio Neves; Ricardo Marques (EUSIPCO, 2006)

Fast Conversion of H.264/AVC Integer Transform Coefficients into DCT Coefficients. - Ricardo Marques; Vítor Manuel Mendes da Silva; Sérgio M. M. de Faria; Antonio Navarro 002; Pedro A. Amado Assunção (SIGMAP, 2006)

Improving SAT Solver Efficiency Using a Multi-Core Approach. - Ricardo Marques; Luis G. Silva; Paulo F. Flores; L. Miguel Silveira (FLAIRS, 2013)

Spherical Fibonacci Point Sets for Illumination Integrals. - Ricardo Marques; Christian Bouville; Mickaël Ribardière; Luís Paulo Santos; Kadi Bouatouch (Comput. Graph. Forum, 2013)

A Spherical Gaussian Framework for Bayesian Monte Carlo Rendering of Glossy Surfaces. - Christian Bouville; Mickaël Ribardière; Luís Paulo Santos; Kadi Bouatouch; Ricardo Marques (IEEE Trans. Vis. Comput. Graph., 2013)

Intégration sphérique Bayésien et Quasi-Monte Carlo pour l'illumination globaleBayesian and Quasi-Monte Carlo spherical integration for global illumination. - Ricardo Marques (2013)

Bayesian and Quasi Monte Carlo Spherical Integration for Illumination Integrals. - Ricardo Marques; Christian Bouville; Kadi Bouatouch (Eurographics (Tutorials), 2014)

Using a Domain-Specific Language to Enrich ETL Schemas. - Orlando Belo; Claudia Gomes; Bruno Oliveira 001; Ricardo Marques; Vasco Santos 001 (ADBIS (Short Papers and Workshops), 2015)

Conceptual-Physical Bridging - From BPMN Models to Physical Implementations on Kettle. - Bruno Oliveira 001; Vasco Santos 001; Claudia Gomes; Ricardo Marques; Orlando Belo (BPM (Demos), 2015)

Automatic Generation of ETL Physical Systems from BPMN Conceptual Models. - Orlando Belo; Claudia Gomes; Bruno Oliveira 001; Ricardo Marques; Vasco Santos 001 (MEDI, 2015)

Efficient Quadrature Rules for Illumination Integrals: From Quasi Monte Carlo to Bayesian Monte Carlo - Ricardo Marques; Christian Bouville; Luís Paulo Santos; Kadi Bouatouch (Efficient Quadrature Rules for Illumination Integrals, 2015)

Two-Level Adaptive Sampling for Illumination Integrals using Bayesian Monte Carlo. - Ricardo Marques; Christian Bouville; Luís Paulo Santos; Kadi Bouatouch (Eurographics (Short Papers), 2016)

INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual. - Pedro Fialho; Ricardo Marques; Bruno Martins 001; Luísa Coheur; Paulo Quaresma (Linguamática, 2016)

Gradient-based steering for vision-based crowd simulation algorithms. - Teofilo Bezerra Dutra; Ricardo Marques; Joaquim B. Cavalcante Neto; Creto Augusto Vidal; Julien Pettré (Comput. Graph. Forum, 2017)

Optimizing layout using spatial quality metrics and user preferences. - Arash Bahrehmand; Thomas Batard; Ricardo Marques; Alun Evans; Josep Blat (Graph. Model., 2017)

RAID-B2K, transforming BPMN conceptual schemas into Kettle execution primitives. - Orlando Belo; Vasco Santos 001; Bruno Oliveira 001; Claudia Gomes; Ricardo Marques (Int. J. Inf. Decis. Sci., 2018)

Optimal Sample Weights for Hemispherical Integral Quadratures. - Ricardo Marques; Christian Bouville; Kadi Bouatouch (Comput. Graph. Forum, 2019)

Spectral Analysis of Quadrature Rules and Fourier Truncation-Based Methods Applied to Shading Integrals. - Ricardo Marques; Christian Bouville; Kadi Bouatouch (IEEE Trans. Vis. Comput. Graph., 2020)

A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation. - Beatriz Cabrero Daniel; Ricardo Marques; Ludovic Hoyet; Julien Pettré; Josep Blat (Proc. ACM Comput. Graph. Interact. Tech., 2021)

Extensible Spherical Fibonacci Grids. - Ricardo Marques; Christian Bouville; Kadi Bouatouch; Josep Blat (IEEE Trans. Vis. Comput. Graph., 2021)

Class-conditional Importance Weighting for Deep Learning with Noisy Labels. - Bhalaji Nagarajan; Ricardo Marques; Marcos Mejia; Petia Radeva (VISIGRAPP (5: VISAPP), 2022)

Interactive VPL-based global illumination on the GPU using fuzzy clustering. - Arnau Colom; Ricardo Marques; Luís Paulo Santos (Comput. Graph., 2022)

Dynamic Combination of Crowd Steering Policies Based on Context. - Beatriz Cabrero Daniel; Ricardo Marques; Ludovic Hoyet; Julien Pettré; Josep Blat (Comput. Graph. Forum, 2022)

Gaussian Process for Radiance Functions on the Sphere. - Ricardo Marques; Christian Bouville; Kadi Bouatouch (Comput. Graph. Forum, 2022)

CCLM: Class-Conditional Label Noise Modelling. - Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva (IbPRIA, 2023)

Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields. - Ahmad AlMughrabi; Umair Haroon; Ricardo Marques; Petia Radeva (CoRR, 2023)

MVSBoost: An Efficient Point Cloud-Based 3D Reconstruction. - Umair Haroon; Ahmad AlMughrabi; Ricardo Marques; Petia Radeva (CCIA, 2024)

Improving Automotive Aftermarket Forecasting with MLOps. - Pedro Sobral; Rafael Teixeira; Ricardo Marques; Nuno Figueiredo; Mário Antunes 001; Diogo Gomes 001 (FiCloud, 2024)

VolETA: One- and Few-shot Food Volume Estimation. - Ahmad AlMughrabi; Umair Haroon; Ricardo Marques; Petia Radeva (CoRR, 2024)

MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering. - Ahmad AlMughrabi; Ricardo Marques; Petia Radeva (CoRR, 2024)

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. - Jiangpeng He; Yuhao Chen 001; Gautham Vinod; Talha Ibn Mahmud; Fengqing Zhu 001; Edward J. Delp; Alexander Wong; Pengcheng Xi; Ahmad AlMughrabi; Umair Haroon; Ricardo Marques; Petia Radeva; et al. (CoRR, 2024)

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. - Bhalaji Nagarajan; Ricardo Marques; Eduardo Aguilar 001; Petia Radeva (Neural Networks, 2024)

Decoding class dynamics in learning with noisy labels. - Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva (Pattern Recognit. Lett., 2024)

VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction. - Ahmad AlMughrabi; Umair Haroon; Ricardo Marques; Petia Radeva (CVPR Workshops, 2025)

Enriching Unbounded Appearances for Neural Radiance Fields. - Ahmad AlMughrabi; Umair Haroon; Ricardo Marques; Petia Radeva (IbPRIA, 2025)

Adaptive Vision-Language Prompt Learners for Learning with Noisy Labels. - Changhui Hu 004; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva (J. Vis. Commun. Image Represent., 2025)

FoodMem: Near real-time and precise food video segmentation. - Ahmad AlMughrabi; Adrián Galán; Ricardo Marques; Petia Radeva (Pattern Recognit. Lett., 2025)

VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation. - Umair Haroon; Ahmad AlMughrabi; Thanasis Zoumpekas; Ricardo Marques; Petia Radeva (CoRR, 2025)