Jacinto C. Nascimento

170 papers A* 8A 3B 31C 1Misc 9Journal 71Unranked 41
YearRankTypeTitle / Venue / Authors
2025 J jnl
DALL-M: Context-aware clinical data augmentation with large language models.
Comput. Biol. Medicine
Chihcheng Hsieh, Catarina Moreira, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Margot Brereton, Joaquim Jorge, Jacinto C. Nascimento
2025 — conf
Exploring Synergies Between Convolutional Neural Networks and Transformers for Breast Cancer Segmentation.
Deep-Breath@MICCAI
Carlos Santiago, Jacinto C. Nascimento
2025 — conf
Multi-scale Attention-Based Multiple Instance Learning for Breast Cancer Diagnosis.
MICCAI (15)
Mariana Mourão, Jacinto C. Nascimento, Carlos Santiago, Margarida Silveira
2025 J jnl
Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels.
Int. J. Hum. Comput. Stud.
Francisco Maria Calisto, João Maria Veigas Abrantes, Carlos Santiago, Nuno Jardim Nunes, Jacinto C. Nascimento
2025 — conf
SurfR: Surface Reconstruction with Multi-Scale Attention.
3DV
Siddhant Ranade, Gonçalo Dias Pais, Ross Tyler Whitaker, Jacinto C. Nascimento, Pedro Miraldo, Srikumar Ramalingam
2025 J jnl
SurfR: Surface Reconstruction with Multi-scale Attention.
CoRR
Siddhant Ranade, Gonçalo Dias Pais, Ross Tyler Whitaker, Jacinto C. Nascimento, Pedro Miraldo, Srikumar Ramalingam
2024 J jnl
Correspondence Free Multivector Cloud Registration using Conformal Geometric Algebra.
CoRR
Francisco Xavier Vasconcelos, Jacinto C. Nascimento
2024 J jnl
DALL-M: Context-Aware Clinical Data Augmentation with LLMs.
CoRR
Chihcheng Hsieh, Catarina Moreira, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Margot Brereton, Joaquim Jorge, Jacinto C. Nascimento
2024 — conf
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis.
CVPR Workshops
D. J. Araújo, Maria Rita Verdelho, Alceu Bissoto, Jacinto C. Nascimento, Carlos Santiago, Catarina Barata
2024 J jnl
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis.
CoRR
Diogo J. Araújo, Maria Rita Verdelho, Alceu Bissoto, Jacinto C. Nascimento, Carlos Santiago, Catarina Barata
2024 B conf
Latent Embedding Clustering for Occlusion Robust Head Pose Estimation.
FG
José Celestino, Manuel Marques, Jacinto C. Nascimento
2024 J jnl
Latent Embedding Clustering for Occlusion Robust Head Pose Estimation.
CoRR
José Celestino, Manuel Marques, Jacinto C. Nascimento
2024 J jnl
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors.
CoRR
Alexandre Duarte, Francisco Fernandes, João M. Pereira, Catarina Moreira, Jacinto C. Nascimento, Joaquim Jorge
2024 J jnl
Selfredepth.
J. Real Time Image Process.
Alexandre Duarte, Francisco Fernandes, João M. Pereira, Catarina Moreira, Jacinto C. Nascimento, Joaquim Jorge
2024 — conf
Using Counterfactual Information for Breast Classification Diagnosis.
CVPR Workshops
Miguel Cardoso, Carlos Santiago, Jacinto C. Nascimento
2024 J jnl
Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images.
Comput. Medical Imaging Graph.
Renato Hermoza, Jacinto C. Nascimento, Gustavo Carneiro
2023 J jnl
2D Image head pose estimation via latent space regression under occlusion settings.
CoRR
José Celestino, Manuel Marques, Jacinto C. Nascimento, João Paulo Costeira
2023 J jnl
2D Image head pose estimation via latent space regression under occlusion settings.
Pattern Recognit.
José Celestino, Manuel Marques, Jacinto C. Nascimento, João Paulo Costeira
2023 A* conf
Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis.
CHI
Francisco Maria Calisto, João Gabriel de Matos Fernandes, Margarida Morais, Carlos Santiago, João Maria Veigas Abrantes, Nuno Jardim Nunes, Jacinto C. Nascimento
2023 — conf
Classification of Breast Cancer in Mri with Multimodal Fusion.
ISBI
Margarida Morais, Francisco Maria Calisto, Carlos Santiago, Clara Aleluia, Jacinto C. Nascimento
2023 — conf
Convolutional Siamese Networks for Myocardial Lesion Classification in T1 Maps.
ISBI
Mac Golub, Carlos Santiago, C. Baleia, Pedro Lopes, Alfredo Ferreira, Rita Gouveia Nunes, Jacinto C. Nascimento
2023 J jnl
MDF-Net: Multimodal Dual-Fusion Network for Abnormality Detection using CXR Images and Clinical Data.
CoRR
Chihcheng Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Margot Brereton, Jacinto C. Nascimento, Joaquim Jorge, Catarina Moreira
2023 — conf
Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning.
ISBI
Pedro Diogo, Margarida Morais, Francisco Maria Calisto, Carlos Santiago, Clara Aleluia, Jacinto C. Nascimento
2022 J jnl
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions.
Artif. Intell. Medicine
Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento
2022 — conf
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images.
MICCAI (8)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2022 J jnl
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images.
CoRR
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2022 J jnl
CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento
2022 J jnl
Model-Agnostic Temporal Regularizer for Object Localization Using Motion Fields.
IEEE Trans. Image Process.
Carlos Santiago, Daniela O. Medley, Jorge S. Marques, Jacinto C. Nascimento
2022 J jnl
Modeling adoption of intelligent agents in medical imaging.
Int. J. Hum. Comput. Stud.
Francisco Maria Calisto, Nuno Nunes, Jacinto C. Nascimento
2021 J jnl
Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification.
Int. J. Hum. Comput. Stud.
Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento
2021 J jnl
LOW: Training deep neural networks by learning optimal sample weights.
Pattern Recognit.
Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento
2021 — conf
Post-Hoc Overall Survival Time Prediction From Brain MRI.
ISBI
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2021 J jnl
Post-hoc Overall Survival Time Prediction from Brain MRI.
CoRR
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2021 J jnl
Sparse motion fields for trajectory prediction.
Pattern Recognit.
Catarina Barata, Jacinto C. Nascimento, João Miranda Lemos, Jorge S. Marques
2020 A* conf
3DRegNet: A Deep Neural Network for 3D Point Registration.
CVPR
Gonçalo Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo
2020 B conf
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis.
AVI
Francisco Maria Calisto, Nuno Nunes, Jacinto C. Nascimento
2020 J jnl
Deep Active Shape Model for Robust Object Fitting.
IEEE Trans. Image Process.
Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento
2020 J jnl
One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization.
IEEE Trans. Pattern Anal. Mach. Intell.
Jacinto C. Nascimento, Gustavo Carneiro
2020 — conf
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification.
MICCAI (6)
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2020 J jnl
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification.
CoRR
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2020 J jnl
Special issue: 4th MICCAI workshop on deep learning in medical image analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu
2020 — conf
Unsupervised Task Design to Meta-Train Medical Image Classifiers.
ISBI
Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro
2019 J jnl
3DRegNet: A Deep Neural Network for 3D Point Registration.
CoRR
Gonçalo Dias Pais, Pedro Miraldo, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa
2019 — ch.
Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI.
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro
2019 J jnl
Editorial.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2019 J jnl
Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation.
Robotics Auton. Syst.
André Mateus, David Ribeiro, Pedro Miraldo, Jacinto C. Nascimento
2019 J jnl
Gait-based Person Re-identification: A Survey.
ACM Comput. Surv.
Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento
2019 Misc conf
Multiple Agents Representation Using Motion Fields.
ICASSP
Catarina Barata, Jacinto C. Nascimento, Jorge S. Marques
2019 A* conf
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras.
ICRA
Gonçalo Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo
2019 J jnl
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras.
CoRR
Gonçalo Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo
2019 J jnl
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.
Medical Image Anal.
Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro
2019 — conf
Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based Descriptors.
ISBI
Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento
2019 J jnl
Unsupervised Task Design to Meta-Train Medical Image Classifiers.
CoRR
Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro
2018 J jnl
1st MICCAI workshop on deep learning in medical image analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2018 B conf
Combining an Active Shape and Motion Models for Object Segmentation in Image Sequences.
ICIP
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2018 — conf
Cross-context Analysis for Long-term View-point Invariant Person Re-identification via Soft-biometrics using Depth Sensor.
VISIGRAPP (5: VISAPP)
Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento
2018 — ed.
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
DLMIA/ML-CDS@MICCAI
Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2018 J jnl
Fast segmentation of the left ventricle in cardiac MRI using dynamic programming.
Comput. Methods Programs Biomed.
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2018 — ed.
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings
RAMBO+BIA+TIA@MICCAI
Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga
2018 B conf
Improving a Switched Vector Field Model for Pedestrian Motion Analysis.
ACIVS
Catarina Barata, Jacinto C. Nascimento, Jorge S. Marques
2018 J jnl
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI.
CoRR
Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro
2018 B conf
Robust Feature Descriptors for Object Segmentation Using Active Shape Models.
ACIVS
Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento
2018 — conf
Training Medical Image Analysis Systems like Radiologists.
MICCAI (1)
Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro
2018 J jnl
Training Medical Image Analysis Systems like Radiologists.
CoRR
Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro
2017 J jnl
A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes.
Neural Comput. Appl.
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2017 — conf
A real-time Deep Learning pedestrian detector for robot navigation.
ICARSC
David Ribeiro, André Mateus, Pedro Miraldo, Jacinto C. Nascimento
2017 B conf
A sparse approach to pedestrian trajectory modeling using multiple motion fields.
ICIP
Catarina Barata, Jacinto C. Nascimento, Jorge S. Marques
2017 — conf
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography.
ISBI
Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
2017 J jnl
Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.
IEEE Trans. Medical Imaging
Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley
2017 B conf
Context-Aware Person Re-Identification in the Wild Via Fusion of Gait and Anthropometric Features.
FG
Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento, Ana L. N. Fred
2017 — ch.
Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1.
Deep Learning for Medical Image Analysis
Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley
2017 — ed.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
DLMIA/ML-CDS@MICCAI
M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017 J jnl
Deep Learning on Sparse Manifolds for Faster Object Segmentation.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Gustavo Carneiro
2017 — conf
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI.
MICCAI (3)
Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid
2017 B conf
Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming.
ICIP
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2017 J jnl
Improving the performance of pedestrian detectors using convolutional learning.
Pattern Recognit.
David Ribeiro, Jacinto C. Nascimento, Alexandre Bernardino, Gustavo Carneiro
2017 Misc conf
Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection.
IbPRIA
David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino
2017 Misc conf
Towards Touch-Based Medical Image Diagnosis Annotation.
ISS
Francisco M. Calisto, Alfredo Ferreira, Jacinto C. Nascimento, Daniel Gonçalves
2017 — conf
Towards View-point Invariant Person Re-identification via Fusion of Anthropometric and Gait Features from Kinect Measurements.
VISIGRAPP (5: VISAPP)
Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento, Ana L. N. Fred
2016 J jnl
A Real-Time Deep Learning Pedestrian Detector for Robot Navigation.
CoRR
David Ribeiro, André Mateus, Jacinto C. Nascimento, Pedro Miraldo
2016 J jnl
A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation.
CoRR
David Ribeiro, André Mateus, Jacinto C. Nascimento, Pedro Miraldo
2016 J jnl
A Window-Based Classifier for Automatic Video-Based Reidentification.
IEEE Trans. Syst. Man Cybern. Syst.
Dario Figueira, Matteo Taiana, Jacinto C. Nascimento, Alexandre Bernardino
2016 B conf
A new robust active shape model formulation for cardiac MRI segmentation.
ICIP
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2016 J jnl
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography.
CoRR
Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
2016 — ed.
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
LABELS/DLMIA@MICCAI
Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
2016 — conf
Multi-atlas segmentation using manifold learning with deep belief networks.
ISBI
Jacinto C. Nascimento, Gustavo Carneiro
2016 — conf
Person Re-identification based on Human Query on Soft Biometrics using SVM Regression.
VISIGRAPP (4: VISAPP)
Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento
2016 B conf
Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image.
ACIVS
Athira M. Nambiar, Jacinto C. Nascimento, Alexandre Bernardino, José Santos-Victor
2015 J jnl
2D Segmentation Using a Robust Active Shape Model With the EM Algorithm.
IEEE Trans. Image Process.
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2015 J jnl
An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification.
Neurocomputing
Jacinto C. Nascimento, Miguel Barão, Jorge S. Marques, João Miranda Lemos
2015 J jnl
Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images.
IEEE J. Biomed. Health Informatics
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2015 J jnl
On the purity of training and testing data for learning: The case of pedestrian detection.
Neurocomputing
Matteo Taiana, Jacinto C. Nascimento, Alexandre Bernardino
2015 B conf
Predictive multiple motion fields for trajectory completion: Application to surveillance systems.
ICIP
Manya V. Afonso, Jacinto C. Nascimento
2015 Misc conf
Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI.
IbPRIA
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2015 — conf
Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model.
EMBC
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2015 J jnl
Shape Context for soft biometrics in person re-identification and database retrieval.
Pattern Recognit. Lett.
Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento
2015 B conf
Towards reduction of the training and search running time complexities for non-rigid object segmentation.
ICIP
Jacinto C. Nascimento, Gustavo Carneiro
2015 — conf
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models.
MICCAI (3)
Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley
2014 B conf
A robust active shape model using an expectation-maximization framework.
ICIP
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2014 J jnl
Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach.
IEEE Trans. Multim.
Manya V. Afonso, Jacinto C. Nascimento, Jorge S. Marques
2014 J jnl
Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Miguel Barão, Jorge S. Marques, João Miranda Lemos
2014 J jnl
Manifold Learning for Object Tracking With Multiple Nonlinear Models.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Jorge G. Silva, Jorge S. Marques, João Miranda Lemos
2014 — conf
Non-rigid Object Segmentation Using Robust Active Shape Models.
AMDO
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2014 A* conf
Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks.
CVPR
Jacinto C. Nascimento, Gustavo Carneiro
2014 — conf
The HDA+ Data Set for Research on Fully Automated Re-identification Systems.
ECCV Workshops (3)
Dario Figueira, Matteo Taiana, Athira M. Nambiar, Jacinto C. Nascimento, Alexandre Bernardino
2014 — conf
Towards Fully Automated Person Re-identification.
VISAPP (3)
Matteo Taiana, Dario Figueira, Athira M. Nambiar, Jacinto C. Nascimento, Alexandre Bernardino
2013 B conf
3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model.
ICIP
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2013 J jnl
Activity Recognition Using a Mixture of Vector Fields.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2013 Misc conf
An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection.
IbPRIA
Matteo Taiana, Jacinto C. Nascimento, Alexandre Bernardino
2013 J jnl
Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Gustavo Carneiro, Jacinto C. Nascimento
2013 B conf
Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery.
ICIP
Jacinto C. Nascimento, Gustavo Carneiro
2013 Misc conf
Efficient Optimization Algorithm for Space-Variant Mixture of Vector Fields.
IbPRIA
Jacinto C. Nascimento, Miguel Barão, Jorge S. Marques, João Miranda Lemos
2013 J jnl
Modeling and Classifying Human Activities From Trajectories Using a Class of Space-Varying Parametric Motion Fields.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Jorge S. Marques, João Miranda Lemos
2013 — conf
Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI.
EMBC
Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques
2013 — conf
Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes.
VISIGRAPP (Selected Papers)
Davide Periquito, Jacinto C. Nascimento, Alexandre Bernardino, João Sequeira
2013 A* conf
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds.
CVPR
Jacinto C. Nascimento, Gustavo Carneiro
2013 — conf
Vision-based Hand Pose Estimation - A Mixed Bottom-up and Top-down Approach.
VISAPP (1)
Davide Periquito, Jacinto C. Nascimento, Alexandre Bernardino, João Sequeira
2012 B conf
A class of space-varying parametric motion fields for human activity recognition.
ICIP
Jacinto C. Nascimento, Jorge S. Marques, João Miranda Lemos
2012 — conf
Automatic Estimation of Multiple Motion Fields using Object Trajectories and Optical Flow.
ICPRAM (2)
Manya V. Afonso, Jorge S. Marques, Jacinto C. Nascimento
2012 B conf
On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging.
ICIP
Jacinto C. Nascimento, Gustavo Carneiro
2012 — conf
Robust Deformable Model for Segmenting the Left Ventricle in 3D Volumes of Ultrasound Data.
ICPRAM (1)
Carlos Santiago, Jorge S. Marques, Jacinto C. Nascimento
2012 J jnl
The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods.
IEEE Trans. Image Process.
Gustavo Carneiro, Jacinto C. Nascimento, António Freitas
2012 A* conf
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound.
CVPR
Gustavo Carneiro, Jacinto C. Nascimento
2011 B conf
Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling.
ICIP
Jacinto C. Nascimento, Jorge S. Marques, Mário A. T. Figueiredo
2011 B conf
Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance.
ICIP
Jacinto C. Nascimento, Jorge S. Marques, João Miranda Lemos
2011 A* conf
Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data.
ICCV
Gustavo Carneiro, Jacinto C. Nascimento
2011 B conf
Lip contour tracking using multiple dynamic models on a manifold.
ICIP
Jacinto C. Nascimento, Jorge S. Silva
2011 B conf
Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images.
ICIP
Jacinto C. Nascimento, Gustavo Carneiro
2011 — conf
Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data.
ISBI
Gustavo Carneiro, Jacinto C. Nascimento, António Freitas
2011 Misc conf
Trajectory Analysis Using Switched Motion Fields: A Parametric Approach.
IbPRIA
Jorge S. Marques, João Miranda Lemos, Mário A. T. Figueiredo, Jacinto C. Nascimento, Miguel Barão
2010 B conf
Classification of complex pedestrian activities from trajectories.
ICIP
Jacinto C. Nascimento, Jorge S. Marques, Mário A. T. Figueiredo
2010 B conf
Discriminative model selection for object motion recognition.
ICIP
Jacinto C. Nascimento, Jorge S. Marques, Mário A. T. Figueiredo
2010 B conf
Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking.
ICIP
Jacinto C. Nascimento, Gustavo Carneiro
2010 B conf
Improving the robustness of gradient vector flowin cluttered images.
ICIP
Jacinto C. Nascimento, Jorge S. Marques
2010 — conf
Manifold Learning for Object Tracking with Multiple Motion Dynamics.
ECCV (3)
Jacinto C. Nascimento, Jorge G. Silva
2010 A* conf
Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures.
CVPR
Gustavo Carneiro, Jacinto C. Nascimento
2010 — conf
Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods.
ISBI
Gustavo Carneiro, Jacinto C. Nascimento, António Freitas
2010 B conf
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking.
ICPR
Gustavo Carneiro, Jacinto C. Nascimento
2010 J jnl
Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features.
Robotics Auton. Syst.
Matteo Taiana, João Santos, José António Gaspar, Jacinto C. Nascimento, Alexandre Bernardino, Pedro U. Lima
2010 J jnl
Trajectory Classification Using Switched Dynamical Hidden Markov Models.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2009 J jnl
Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images.
IEEE J. Sel. Top. Signal Process.
Margarida Silveira, Jacinto C. Nascimento, Jorge S. Marques, André R. S. Marçal, Teresa Mendonça, Syogo Yamauchi, Junji Maeda, Jorge Rozeira
2009 Misc conf
Trajectory Modeling Using Mixtures of Vector Fields.
IbPRIA
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2009 B conf
Trajectory analysis in natural images using mixtures of vector fields.
ICIP
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2008 J jnl
Independent increment processes for human motion recognition.
Comput. Vis. Image Underst.
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2008 B conf
Level set segmentation with outlier rejection.
ICIP
Margarida Silveira, Jacinto C. Nascimento, Jorge S. Marques
2008 J jnl
Medical Image Noise Reduction Using the Sylvester-Lyapunov Equation.
IEEE Trans. Image Process.
João M. Sanches, Jacinto C. Nascimento, Jorge S. Marques
2008 J jnl
Robust Shape Tracking With Multiple Models in Ultrasound Images.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Jorge S. Marques
2008 A conf
Sample-Based 3D Tracking of Colored Objects : A Flexible Architecture.
BMVC
Matteo Taiana, Jacinto C. Nascimento, José António Gaspar, Alexandre Bernardino
2008 B conf
Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation.
ICIP
Jacinto C. Nascimento, João M. Sanches
2008 B conf
Unsupervised learning of motion patterns using generative models.
ICIP
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2007 C conf
3D Tracking by Catadioptric Vision Based on Particle Filters.
RoboCup
Matteo Taiana, José António Gaspar, Jacinto C. Nascimento, Alexandre Bernardino, Pedro U. Lima
2007 A conf
On the use of perspective catadioptric sensors for 3D model-based tracking with particle filters.
IROS
Matteo Tajana, José António Gaspar, Jacinto C. Nascimento, Alexandre Bernardino, Pedro U. Lima
2007 — conf
On-Line Classification of Human Activities.
IbPRIA (2)
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2007 — conf
Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications.
ICIP (3)
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2007 — conf
Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising.
IbPRIA (2)
Jacinto C. Nascimento, João M. Sanches, Jorge S. Marques
2006 — conf
A Method for the Dynamic Analysis of the Heart Using a Lyapounov Based Denoising Algorithm.
EMBC
Jacinto C. Nascimento, João M. Sanches, Jorge S. Marques
2006 J jnl
Corrections to "Adaptive Snakes Using the EM Algorithm".
IEEE Trans. Image Process.
Jacinto C. Nascimento, Jorge S. Marques
2006 J jnl
Performance Evaluation of Object Detection Algorithms for Video Surveillance.
IEEE Trans. Multim.
Jacinto C. Nascimento, Jorge S. Marques
2005 J jnl
Adaptive snakes using the EM algorithm.
IEEE Trans. Image Process.
Jacinto C. Nascimento, Jorge S. Marques
2005 — conf
Recognition of human activities using space dependent switched dynamical models.
ICIP (3)
Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
2004 J jnl
Learning switching dynamic models for objects tracking.
Pattern Recognit.
Gilles Celeux, Jacinto C. Nascimento, Jorge S. Marques
2004 J jnl
Robust shape tracking in the presence of cluttered background.
IEEE Trans. Multim.
Jacinto C. Nascimento, Jorge S. Marques
2003 J jnl
An adaptive potential for robust shape estimation.
Image Vis. Comput.
Jacinto C. Nascimento, Jorge S. Marques
2003 — conf
Estimation of cardiac phases in echographic images using multiple models.
ICIP (2)
Jacinto C. Nascimento, Jorge S. Marques, João M. Sanches
2003 J jnl
Using middle level features for robust shape tracking.
Pattern Recognit. Lett.
Jacinto C. Nascimento, Arnaldo J. Abrantes, Jorge S. Marques
2002 J jnl
Improving the robustness of parametric shape tracking with switched multiple models.
Pattern Recognit.
Jacinto C. Nascimento, Jorge S. Marques
2001 A conf
An Adaptive Potential for Robust Shape Estimation.
BMVC
Jacinto C. Nascimento, Jorge S. Marques
2001 — conf
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models.
PRIS
Jacinto C. Nascimento, Jorge S. Marques
2000 B conf
Robust Shape Tracking in the Presence of Cluttered Background.
ICIP
Jacinto C. Nascimento, Jorge S. Marques
1999 Misc conf
An algorithm for centroid-based tracking of moving objects.
ICASSP
Jacinto C. Nascimento, Arnaldo J. Abrantes, Jorge S. Marques