Jacinto Nascimento

Jacinto Nascimento

Faculty

Position: Assistant Professor (IST)

Signal and Image Processing Group (SIPG)

tp.aobsilu.ocincet.rsi@naj

Phone :+351-218418196

Office: 6.1

Journal Papers

[1] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast segmentation of the left ventricle in cardiac MRI using dynamic programming, Computer Methods and Programs in Biomedicine, Vol. 154, pp. 9-23, February, 2018 - PDF
[2] G. Carneiro, Jacinto Nascimento, A. P. Bradley, Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning, IEEE Transactions on Medical Imaging, Vol. 36, No. 11, November, 2017
[3] Jacinto Nascimento, G. Carneiro, Deep Learning on Sparse Manifolds for Faster Object Segmentation, IEEE Transactions on Image Processing, Vol. 26, No. 10, pp. 4978-4990, October, 2017
[4] L. Oakden-Rayner, G. Carneiro, T. Bessen, Jacinto Nascimento, A. P. Bradley, L. J. Palmer, Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework, Nature Scientific Reports, Vol. 7, No 1, p.1648, May, 2017
[5] David Ribeiro, Jacinto Nascimento, Alexandre Bernardino, Gustavo Carneiro, Improving the performance of pedestrian detectors using convolutional learning, Pattern Recognition, Vol. 61, pp. 641-649, January, 2017
[6] Dario Figueira, Matteo Taiana, Jacinto Nascimento, Alexandre Bernardino, A Window-Based Classifier for Automatic Video-Based Reidentification, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 46, Issue 12, pp. 1736 - 1747, December, 2016 - PDF
[7] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes, Neural Computing and Applications, pp. 1–12, May, 2016
[8] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, Shape Context for soft biometrics in person re-identification and database retrieval, Pattern Recognition Letters, Vol. 68, Part 2, pp. 297–305, December, 2015
[9] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 2D Segmentation Using a Robust Active Shape Model with the EM Algorithm, IEEE Transactions on Image Processing, Vol. 24, No. 8, pp. 2592-2601, August, 2015
[10] Matteo Taiana, Jacinto Nascimento, Alexandre Bernardino, On the purity of training and testing data for learning: The case of pedestrian detection, Neurocomputing, Vol. 150, Part A, pp. 214–226, 2015 - PDF
[11] Jacinto Nascimento, M. Barao, Jorge S. Marques, J. M. Lemos, An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification, Neurocomputing, Vol. 150, Part A, pp. 155–162, February, 2015
[12] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images, IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 1, pp. 339 - 348, January, 2015 - PDF
[13] Jacinto Nascimento, Alexandre Bernardino, João Sequeira, Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes, CCIS - Communications in Computer and Information Science}, Springer-Verlag, Volume 458, pp 212-227, September , 2014 - PDF
[14] Jacinto Nascimento, M. Barao, Jorge S. Marques, J. M. Lemos, Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM, IEEE Transactions on Image Processing, vol. 23, no. 12, December, 2014
[15] Athira Nambiar, Matteo Taiana, Dario Figueira, Jacinto Nascimento, Alexandre Bernardino, A Multi-camera video data set for research on High-Definition surveillance, International Journal of Machine Intelligence and Sensory Signal Processing, Vol.1, No.3, pp. 267 - 286, 2014 - PDF
[16] Manya Afonso, Jacinto Nascimento, Jorge S. Marques, Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach, IEEE Transactions on Multimedia, Vol.16, No.1, 2014 - PDF
[17] Jacinto Nascimento, J. Silva, Jorge S. Marques, J. Lemos, Manifold Learning for Object Tracking With Multiple Nonlinear Models, IEEE Transactions on Image Processing, Vol. 23, 2014 - PDF
[18] Gustavo Carneiro, Jacinto Nascimento, Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 11, pp. 2592-2607, 2013
[19] Jacinto Nascimento, M. A. T. Figueiredo, Jorge S. Marques, Activity Recognition Using A Mixture of Vector Fields, IEEE Transactions on Image Processing, Vol. 22, Issue 5, pp. 1712-1725, 2013
[20] Jacinto Nascimento, Jorge S. Marques, J. M. Lemos, Modeling and Classifying Human Activities from Trajectories Using a Class of Space-Varying Parametric Motion Fields, IEEE Transactions on Image Processing, Vol. 22, Issue 5, pp. 2066-2080, 2013
[21] Matteo Taiana, Tracking objects with generic calibrated sensors: an algorithm based on color and 3D shape features, Robotics and Autonomous Systems, special issue on Omnidirectional Robot Vision, Vol. 58, Issue 6, 30 June, pp. 784-795, 2010
[22] Jacinto Nascimento, M. A. T. Figueiredo, Jorge S. Marques, Trajectory Classification Using Switched Dynamical Hidden Markov Models, IEEE Transactions on Image Processing, vol. 19, no. 5, pp. 1338-1348, 2010
[23] Margarida Silveira, Jacinto Nascimento, Jorge S. Marques, A. R. S. Marcal, T. Mendonca, S. Yamauchi, J. Maeda, J. Rozeira, Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images, IEEE Journal of Selected Topics in Signal Processing, Vol. 3, issue 1, pp. 35-45, 2009
[24] Jacinto Nascimento, Robust Shape Tracking with Multiple Models in Ultrasound Images, IEEE Transactions on Image Processing, Vol. 17, pp. 392-406, 2008
[25] João Sanches, Medical Image Noise Reduction using the Sylvester-Lyapunov Equation, IEEE Transactions on Image Processing, vol. 17, 1522-1539, 2008
[26] M. A. Figueiredo, Independent Increment Processes for Human Motion Recognition, International Journal of Computer Vision and Image Understanding, Vol. 109, No. 2, pp. 126-138, 2008
[27] Jacinto Nascimento, Performance Evaluation of Object Detection Algorithms for Video Surveillance, IEEE Transactions on Multimedia, Vol. 8, No. 4, 761-774, 2006
[28] Jacinto Nascimento, Jorge S. Marques, Adaptive Snakes Using the EM Algorithm, IEEE Transactions on Image Processing, Vol. 14, Issue 11, pp. 1678 - 1686, 2005
[29] Jacinto Nascimento, Jorge S. Marques, Robust Shape Tracking in the Presence of Cluttered Background, IEEE Transactions on Multimedia, Vol. 6, no. 6, 2004
[30] Gilles Celeux, Jorge S. Marques, Jacinto Nascimento, Learning Switching Dynamic Models for Objects Tracking, Pattern Recognition, Vol. 37, no. 9, 1835-1840, 2004
[31] Jorge S. Marques, Jacinto Nascimento, An Adaptive Potential for Robust Shape Estimation, Image and Vision Computing Journal, 21,1107-1116, 2003
[32] Jacinto Nascimento, Arnaldo J. Abrantes, Jorge S. Marques, Using middle level features for robust shape tracking, Pattern Recognition Letters, Vol. 24, 295-307, 2003
[33] Jacinto Nascimento, Jorge S. Marques, Robust Multi-Model Filter for Shape Tracking in the Presence of Outliers, Pattern Recognition, Vol. 35, 2711-2718, 2002 - PDF
[34] Jacinto Nascimento, Arnaldo J. Abrantes, Jorge S. Marques, An Algorithm for Centroid Based Tracking of Moving Objects, Proc. of ICASSPP1999 - IEEE International Conference on Acoustics, Speech and Signal Processing, Phoenix, USA, pp. 3305-3308, 1999

Books

[35] M. J. Cardoso, T. Arbel, G. Carneiro, T. Syeda-Mahmood, J. M. R. Tavares, M. Moradi, A. P. Bradley, H. Greenspan, J. P. Papa, A. Madabhushi, Jacinto Nascimento, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS, held in Conjunction with MICCAI, Springer, 2017

Book Chapters

[36] Gustavo Carneiro, Jacinto Nascimento, A. P. Bradley, Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-view Images and Segmentation Maps of Lesions, in Deep Learning for Medical Image Analysis, S. K. Zhou, H. Greenspan and D. Shen (Eds.), pp. 321-339, Elsevier, 2017
[37] Jacinto Nascimento, Gustavo Carneiro, A. Freitas, Tracking and segmentation of the endocardium of the Left Ventricle in 2D Ultrasound using Deep Learning architectures and Monte Carlo sampling, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 17, pp. 387-406, CRC Press, 2016
[38] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A 3D Active Shape Model for Left Ventricle Segmentation in MRI, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 4, pp. 99-115, CRC Press, 2016
[39] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust Deformable Models for 2D and 3D Shape Estimation, In Deformation Models, M. Gonzalez, A. Mir, J. Varonav (Eds.), Springer, LNCVB-7, 2013
[40] Carlos Santiago, Jorge S. Marques, Jacinto Nascimento, A robust deformable model for 3D Segmentation of the Left Ventricle from Ultrasound Data, Mathematical Methodologies in Pattern Recognition and Machine Learning, Springer Proceedings in Mathematics and Statistics, vol. 30, pp. 163-178, 2013
[41] Jorge S. Marques, Jacinto Nascimento, A. Abrantes, Margarida Silveira, Robust Shape Estimation with Deformable Models, in Advances in Computational Vision and Medical Image Processing: Methods and Applications, Springer, invited paper, 57-76, 2008 - PDF

Conference Papers

[42] Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, Cross-context analysis for long-term view-point invariant Person Re-identification via soft-biometrics using Depth sensor, Proc. of VISAPP - International Conference on Computer vision Theory and Applications, Funchal, Portugal, 2018
[43] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming, Proc. of ICIP 2017 - IEEE International Conference on Image Processing, Beijing, China, 2017
[44] Catarina Barata, Jacinto Nascimento, Jorge S. Marques, A Sparse Approach to Pedestrian Trajectory Modeling using Multiple Motion Fields, Proc. of ICIP 2017 - IEEE International Conference on Image Processing, Beijing, China, 2017
[45] G. Carneiro, Jacinto Nascimento, A. P. Bradley, Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models, Proc. of MICCAI 2017 - International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 665-673, Springer, Cham, Quebec City, Canada, 2017
[46] G. Maicas, G. Carneiro, A. P. Bradley, Jacinto Nascimento, I. Reidy, Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI, Proc. of MICCAI 2017 - International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 665-673, Quebec City, Canada, 2017
[47] David Ribeiro, Gustavo Carneiro, Jacinto Nascimento, Alexandre Bernardino, Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection, Proc. of IbPRIA 2017 - 8th Iberian Conference on Pattern Recognition and Image Analysis Faro, Portugal, 2017
[48] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, A. Fred, Context-Aware Person Re-identification in the Wild via fusion of Gait and Anthropometric features, Proc. of BWild 2017 - International Workshop on Biometrics in the Wild, Washington DC, USA, 2017
[49] David Ribeiro, André Mateus, Pedro Miraldo, Jacinto Nascimento, A real-time deep learning pedestrian detector for robot navigation, Proc. of ICARSC 2017 - 17th International Conference on Autonomous Robot Systems and Competitions, Coimbra, Portugal, 2017
[50] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, A. Fred, Context-Aware Person Re-Identification via Fusion of Anthropometric and Gait Features, BMVA Technical Meeting on Security and Surveillance, London, UK, 2017
[51] G. Carneiro, L. Oakden-Rayner, A. P. Bradley, Jacinto Nascimento, L. J. Palmer, Automated 5-year ortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography, Proc. of ISBI 2017 - IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 2017
[52] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, A. Fred, Towards view-point invariant Person Re-identification via fusion of Anthropometric and Gait Features from Kinect measurements, Proc. of VISAPP 2017 - 12th International Conference on Computer Vision Theory and Applications, Porto, Portugal, 2017
[53] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the Left Ventricle in Cardiac MRI using a Robust Active Shape Model Approach, Proc. of RecPad 2016 - 22nd edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2016 - PDF
[54] Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, José Santos-Victor, Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image, Proc. of ACIVS 2016 - 17th International Conference on Advanced Concepts for Intelligent Vision Systems, Lecce, Italy, 2016
[55] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new robust active shape model formulation for cardiac MRI segmentation, Proc. of ICIP 2016 - IEEE International Conference on Image Processing, Phoenix, Arizona, USA, 2016
[56] Jacinto Nascimento, G. Carneiro, Multi-Atlas Segmentation using manifold learning with deep Belief networks, Proc. of ISBI 2016 - IEEE International Symposium on Biomedical Imaging, Prague, Czech Republic, 2016
[57] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, Person Re-identification based on Human query on Soft Biometrics using SVM Regression, Proc. of VISAPP 2016 - 11th International Conference on Computer Vision Theory and Applications, Rome, Italy, 2016 - PDF
[58] Manya Afonso, Jacinto Nascimento, Predictive multiple motion fields for trajectory completion: Application to surveillance systems, Proc. of ICIP 2015 - IEEE International Conference on Image Processing, pp. 2547-2551, Quebec City, Canada, 2015
[59] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model, Proc. of EMBC 2015 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 2015
[60] Jacinto Nascimento, Gustavo Carneiro, Towards Reduction of the Training and Search Running Time Complexities for Non-Rigid Object Segmentation., ICIP 2015 - The International Conference on Image Processing, sponsored by the IEEE Signal Processing Society, Canadá, September , 2015
[61] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI, (best paper award), Proc. of IbPRIA 2015 - 7th Iberian Conference on Pattern Recognition and Image Analysis, Santiago de Compostela, Spain, June, 2015
[62] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Non-rigid Object Segmentation Using Robust Active Shape Models, Proc. of AMDO 2014 - VII Conference on Articulated Motion and Deformable Objects. Lecture Notes in Computer Science, Vol. 8563, pp. 160-169, Palma de Mallorca, Spain, 2014
[63] Jacinto Nascimento, Gustavo Carneiro, Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks, Proc. of CVPR 2014 - IEEE Computer Vision and Pattern Recognition, Ohio, USA, 2014 - PDF
[64] Matteo Taiana, Dario Figueira, Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, Towards Fully Automated Person Re-Identification, Proc. of VISAPP 2014 - International Conference on Computer Vision, Lisbon, Portugal, 2014 - PDF
[65] Dario Figueira, Matteo Taiana, Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, The HDA+ data set for research on fully automated re-identification systems, Proc. of ECCV 2014 Workshop on Visual Surveillance and Re-Identification, Zurich, Switzerland, 2014 - PDF
[66] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A Robust Active Shape Model Using an Expectation-Maximization Framework, Proc. of ICIP 2014 - IEEE International Conference on Image Processing, Paris, France, 2014 - PDF
[67] Jacinto Nascimento, G. Carneiro, Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery, Proc. of ICIP 2013 - IEEE International Conference on Image Processing, pp. 743-746, Melbourne, Australia, 2013
[68] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 3D Left Ventricular Segmentation in Echocardiography using a Probabilistic Data Association Deformable Model, Proc. of ICIP 2013 - IEEE International Conference on Image Processing, Melbourne, Australia, 2013
[69] Jacinto Nascimento, G. Carneiro, Top-down Segmentation of Non-rigid Visual Objects using Derivative-based Search on Sparse Manifolds, Proc. of CVPR 2013 - IEEE Conference on Computer Vision and Pattern Recognition, pp. 1963-1970, Portland, USA, 2013
[70] D. Periquito, Jacinto Nascimento, Alexandre Bernardino, João Sequeira, Vision-based hand pose estimation: A mixed bottom-up and top-down approach, Proc. of VISAPP 2013 - International Conference on Computer Vision, Barcelona, Spain, 2013
[71] Matteo Taiana, Jacinto Nascimento, Alexandre Bernardino, An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection, Proc. of IbPRIA 2013 - 6th Iberian Conference on Pattern Recognition and Image Analysis, Madeira, Portugal, 2013 - PDF
[72] Jacinto Nascimento, M. Barao, J. M. Lemos, Jorge S. Marques, Efficient Optimization Algorithm for Space-Variant Switching of Vector Fields, Proc. of IbPRIA 2013 - 6th Iberian Conference on Pattern Recognition and Image Analysis, Madeira, Portugal, pp. 79-88, 2013
[73] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Performance Evaluation of Point Matching Algorithms for Left Ventricle Motion Analysis in MRI, Proc. of EMBC 2013 - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, pp. 4398-4401, 2013
[74] Manya Afonso, Jorge S. Marques, Jacinto Nascimento, Automatic estimation of multiple motion fields using object trajectories and optical, Proc. of ICPRAM 2012 International Conference on Pattern Recognition Applications and Methods, Vilamoura, Portugal, pp. 457462, 2012
[75] Jacinto Nascimento, J. M. Lemos, Jorge S. Marques, A Class of Parametric Vector Fields for Human Activity Recognition, Proc. of ICIP 2012 - IEEE International Conference on Image Processing, Orlando, FL, USA, 2012
[76] Jorge S. Marques, J. Lemos, M. Figueiredo, Jacinto Nascimento, M. Barao, Trajectory Analysis Using Switched Motion Fields: a Parametric Approach, Proc. of IbPRIA 2011 - 5th Iberian Conference on Pattern Recognition and Image Analysis, Las Palmas de Gran Canaria, Spain, 2011
[77] Jacinto Nascimento, Jorge S. Marques, J. Lemos, Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance, Proc. of ICIP 2011 - IEEE International Conference on Image Processing, Brussels, Belgium, 2011
[78] Jacinto Nascimento, Jorge S. Marques, M. Figueiredo, Discriminative Model Selection Using a Modified Bayesian Criterion: Application to Trajectory Modeling, Proc. of ICIP 2011 - IEEE International Conference on Image Processing, Brussels, Belgium, 2011
[79] Jacinto Nascimento, Jorge S. Marques, M. A. T. Figueiredo, Discriminative Model Selection for Object Motion Recognition, Proc. of ICIP 2010 - International Conference on Image Processing, Hong Kong, 2010
[80] M. A. T. Figueiredo, Classification of Complex Pedestrian Activities from Trajectories, Proc. of ICIP 2010 - International Conference on Image Processing, Hong Kong, 2010
[81] Gustavo Carneiro, Jacinto Nascimento, The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking, Proc. of ICPR 2010 - 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010 - PDF
[82] Jacinto Nascimento, J. G. Silva, Manifold learning for object tracking with multiple motion dynamics, Proc. of ECCV 2010 - European Conference on Computer Vision, Creete, Grece, 2010
[83] Jacinto Nascimento, Jorge S. Marques, Improved Gradient Vector Flow for robust shape estimation in medical imaging, Proc. of EMBC 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, 2010
[84] Gustavo Carneiro, Jacinto Nascimento, A. Freitas, Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods, Proc. of ISBI 2010 - IEEE International Symposium on Biomedical Imaging, Rotterdam, The Netherlands, 2010
[85] Gustavo Carneiro, Jacinto Nascimento, Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures, Proc. of CVPR 2010 - IEEE International Conference on Computer Vision Pattern Recognition, San Francisco, USA, 2010
[86] Jacinto Nascimento, Gustavo Carneiro, Efficient search methods and Deep belief Networks with particle filtering for non-rigid tracking: Application to lip tracking, Proc. of ICIP 2010 - IEEE International Conference on Image Processing, pp. 3817-3820, Hong-Kong, 2010
[87] Jacinto Nascimento, Jorge S. Marques, Improving the Robustness of Gradient Vector Flow in Cluttered Images, Proc. of ICIP 2010 - IEEE International Conference on Image Processing, Hong Kong, 2010
[88] Gustavo Carneiro, Detection of the Left Ventricle of the Heart in Ultrasound Images using Deep Neural Networks, Proc. of RecPad 2009 - 15th edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2009
[89] M. A. T. Figueiredo, Trajectory Modeling Using Mixtures of Vector Fields, Proc. of IbPRIA 2009 - 4th Iberian Conference on Pattern Recognition and Image Analysis, Povoa de Varzim, Portugal, 2009
[90] Jacinto Nascimento, M. A. Figueiredo, Jorge S. Marques, Trajectory analysis in natural images using mixtures of vector Fields, Proc. of ICIP 2009 - IEEE International Conference on Image Processing, Cairo, Egypt, 2009
[91] João Sanches, Total Variation with Automatic Hyper-Parameter Estimation, Proc. of EMBC 2008 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, 2008 - PDF
[92] J. Santos, Color 3D Model-Based Tracking with Arbitrary Projection Models, Proc. of SIMPAR 2008 - International Conference on Simulation, Modeling and Programming for Autonomous Robots, Workshop on Omnidirectional Robot Vision, Venice, Italy, 2008 - PDF
[93] M. A. T. Figueiredo, Unsupervised Learning of Motion Patterns using Generative Models, Proc. of ICIP 2008 - IEEE International Conference on Image Processing, San Diego, CA, USA, 2008
[94] João Sanches, Jacinto Nascimento, Ultrasound Imaging LV Tracking with Adaptive Window Size and Automatic Hyper-Parameter Estimation, Proc. of ICIP 2008 - IEEE International Conference on Image Processing, San Diego, CA, USA, 2008
[95] Margarida Silveira, Jacinto Nascimento, Jorge S. Marques, Level Set Segmentation with Outlier Rejection, Proc. of ICIP 2008 - IEEE International Conference on Image Processing, San Diego, CA, USA, 2008
[96] Matteo Taiana, Sample-Based 3D Tracking of Colored Objects: A Flexible Architecture, Proc. of BMVC 2008 - The British Machine Vision Conference, University of Leeds, Leeds, UK, 2008 - PDF
[97] Jorge S. Marques, Jacinto Nascimento, João Sanches, Tracking of the Left Ventricle using a Lyapounov Based denoising Algorithm, Proc. of RecPad 2007 - 13ª Conferencia Portuguesa de Reconhecimento de Padroes, Lisbon, Portugal , 2007
[98] João Sanches, An Unified Framework for Bayesian Denoising for Several Medical and Biological Imaging Modalities, Proc. of EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, 2007
[99] Jorge S. Marques, Jacinto Nascimento, M. A. Figueiredo, Learning Generative Models for Classification-Recognition of Human Trajectories Using Semi-Supervised EM Algorithm, Proc. of RecPad 2007 - 13ª Conferencia Portuguesa de Reconhecimento de Padroes, Lisbon, Portugal , 2007 - PDF
[100] Margarida Silveira, Jacinto Nascimento, Jorge S. Marques, Automatic segmentation of the lungs using robust level sets, Proc. of EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, pp. 4414-4417, 2007
[101] T. Mendonca, A. R. S. Marcal, A. Vieira, Jacinto Nascimento, Margarida Silveira, Jorge S. Marques, J. Rozeira, Comparison of Segmentation Methods for Automatic Diagnosis of Dermoscopy Images, Proc. of EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, pp. 6572-6576, 2007
[102] Matteo Taiana, On the Use of Perspective Catadioptric Sensors for 3D Model-Based Tracking with Particle Filters, Proc. of IROS 2007 - IEEE International Conference on Intelligent Robots and Systems, San Diego, CA, USA, 2007 - PDF
[103] M. A. Figueiredo, Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications, Proc. of ICIP 2007 - IEEE International Conference on Image Processing, San Antonio, Texas, USA, 2007 - PDF
[104] M. Figueiredo, On-line Classification of Human Activities, Proc. of IbPRIA2007 - 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain, 2007 - PDF
[105] João Sanches, Tracking the left ventricle in ultrasound images based on total variation denoising, Proc. of IbPRIA2007 - 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain, 2007 - PDF
[106] Matteo Taiana, 3D tracking by Catadioptric Vision Based on Particle Filters, Proc. of Robocup2007 - Robocup International Symposium, Atlanta, USA, 2007 - PDF
[107] João Sanches, Jorge S. Marques, A Method for the Dynamic Analysis of the Heart Using a Lyapounov Based Denoising Algorithm, Proc. EMBS2006 - IEEE International Conference of the Engineering in Medicine and Biology Society, New York City, USA, 2006 - PDF
[108] J. L. Crowley, Comparison of target detection algorithms using adaptive background models, Proc. VS-PETS2005 - 2ndJoint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Beijing, China, 2005 - PDF
[109] Jacinto Nascimento, Mario Figueiredo, Jorge S. Marques, Recognition of Human Activities Using Space Dependent Switched Dynamical Models, Proc. of ICIP2005 - IEEE International Conference on Image Processing, pp. 852-855, Genoa, Italy, 2005
[110] Jacinto Nascimento, Mario Figueiredo, Jorge S. Marques, Segmentation and Classification of Human Activities, Proc. of HAREM2005 - Workshop on Human Activity Recognition and Modelling, held at BMVC2005 - British Machine Vision Conference, pp. 79-86, Oxford, UK, 2005
[111] Jacinto Nascimento, New Performance Evaluation Metrics for Object Detection Algorithms, Workshop PETS, Prague, Czech Republic, 2004
[112] Jacinto Nascimento, Jorge S. Marques, João Sanches, Estimation of Cardiac Phases in Echographic Images Using Multiple Models, Proc. ICIP2003 - The IEEE International Conference on Image Processing, Barcelona, Spain, 2003 - PDF
[113] Jacinto Nascimento, Arnaldo J. Abrantes, Jorge S. Marques, The Role of Middle level features for robust shape tracking, 12th Portuguese Conference on Pattern Recognition, Aveiro, 2002 - PDF
[114] Jacinto Nascimento, Jorge S. Marques, An Adaptive Potential for Robust Shape Estimation, British Machine Vision Conference, 343-352, Manchester, 2001
[115] Jacinto Nascimento, Jorge S. Marques, Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models, Pattern Recognition in Information Systems, A. Fred, A. Jain, eds, 50-58, Setubal, 2001 - PDF
[116] Jacinto Nascimento, Jorge S. Marques, Robust Shape Tracking in the Presence of Cluttered Background, IEEE International Conference on Image Processing, vol.3, 82-85, Vancouver, Canada, 2000

PhD Theses

[117] Jacinto Nascimento, Robust Shape Estimation and Tracking in the Presence of Clutter, Ph.D. Thesis, Instituto Superior Tecnico, Lisbon, Portugal, 2003

Technical Reports

[118] Gustavo Carneiro, Jacinto Nascimento, A. Freitas, The Detection and Segmentation of the Left Ventricle of the Heart from Ultrasound Data using Deep Learning Architectures and Efficient Search Methods, Technical Report, Institute for Systems and Robotics, Instituto Superior Tecnico, 2011 - PDF
[1] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast segmentation of the left ventricle in cardiac MRI using dynamic programming, Computer Methods and Programs in Biomedicine, Vol. 154, pp. 9-23, February, 2018 - PDF
[2] G. Carneiro, Jacinto Nascimento, A. P. Bradley, Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning, IEEE Transactions on Medical Imaging, Vol. 36, No. 11, November, 2017
[3] Jacinto Nascimento, G. Carneiro, Deep Learning on Sparse Manifolds for Faster Object Segmentation, IEEE Transactions on Image Processing, Vol. 26, No. 10, pp. 4978-4990, October, 2017
[4] L. Oakden-Rayner, G. Carneiro, T. Bessen, Jacinto Nascimento, A. P. Bradley, L. J. Palmer, Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework, Nature Scientific Reports, Vol. 7, No 1, p.1648, May, 2017
[5] David Ribeiro, Jacinto Nascimento, Alexandre Bernardino, Gustavo Carneiro, Improving the performance of pedestrian detectors using convolutional learning, Pattern Recognition, Vol. 61, pp. 641-649, January, 2017
[6] Dario Figueira, Matteo Taiana, Jacinto Nascimento, Alexandre Bernardino, A Window-Based Classifier for Automatic Video-Based Reidentification, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 46, Issue 12, pp. 1736 - 1747, December, 2016 - PDF
[7] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes, Neural Computing and Applications, pp. 1–12, May, 2016
[8] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, Shape Context for soft biometrics in person re-identification and database retrieval, Pattern Recognition Letters, Vol. 68, Part 2, pp. 297–305, December, 2015
[9] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 2D Segmentation Using a Robust Active Shape Model with the EM Algorithm, IEEE Transactions on Image Processing, Vol. 24, No. 8, pp. 2592-2601, August, 2015
[10] Matteo Taiana, Jacinto Nascimento, Alexandre Bernardino, On the purity of training and testing data for learning: The case of pedestrian detection, Neurocomputing, Vol. 150, Part A, pp. 214–226, 2015 - PDF
[11] Jacinto Nascimento, M. Barao, Jorge S. Marques, J. M. Lemos, An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification, Neurocomputing, Vol. 150, Part A, pp. 155–162, February, 2015
[12] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images, IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 1, pp. 339 - 348, January, 2015 - PDF
[13] Jacinto Nascimento, Alexandre Bernardino, João Sequeira, Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes, CCIS - Communications in Computer and Information Science}, Springer-Verlag, Volume 458, pp 212-227, September , 2014 - PDF
[14] Jacinto Nascimento, M. Barao, Jorge S. Marques, J. M. Lemos, Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM, IEEE Transactions on Image Processing, vol. 23, no. 12, December, 2014
[15] Athira Nambiar, Matteo Taiana, Dario Figueira, Jacinto Nascimento, Alexandre Bernardino, A Multi-camera video data set for research on High-Definition surveillance, International Journal of Machine Intelligence and Sensory Signal Processing, Vol.1, No.3, pp. 267 - 286, 2014 - PDF
[16] Manya Afonso, Jacinto Nascimento, Jorge S. Marques, Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach, IEEE Transactions on Multimedia, Vol.16, No.1, 2014 - PDF
[17] Jacinto Nascimento, J. Silva, Jorge S. Marques, J. Lemos, Manifold Learning for Object Tracking With Multiple Nonlinear Models, IEEE Transactions on Image Processing, Vol. 23, 2014 - PDF
[18] Gustavo Carneiro, Jacinto Nascimento, Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 11, pp. 2592-2607, 2013
[19] Jacinto Nascimento, M. A. T. Figueiredo, Jorge S. Marques, Activity Recognition Using A Mixture of Vector Fields, IEEE Transactions on Image Processing, Vol. 22, Issue 5, pp. 1712-1725, 2013
[20] Jacinto Nascimento, Jorge S. Marques, J. M. Lemos, Modeling and Classifying Human Activities from Trajectories Using a Class of Space-Varying Parametric Motion Fields, IEEE Transactions on Image Processing, Vol. 22, Issue 5, pp. 2066-2080, 2013
[21] Matteo Taiana, Tracking objects with generic calibrated sensors: an algorithm based on color and 3D shape features, Robotics and Autonomous Systems, special issue on Omnidirectional Robot Vision, Vol. 58, Issue 6, 30 June, pp. 784-795, 2010
[22] Jacinto Nascimento, M. A. T. Figueiredo, Jorge S. Marques, Trajectory Classification Using Switched Dynamical Hidden Markov Models, IEEE Transactions on Image Processing, vol. 19, no. 5, pp. 1338-1348, 2010
[23] Margarida Silveira, Jacinto Nascimento, Jorge S. Marques, A. R. S. Marcal, T. Mendonca, S. Yamauchi, J. Maeda, J. Rozeira, Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images, IEEE Journal of Selected Topics in Signal Processing, Vol. 3, issue 1, pp. 35-45, 2009
[24] Jacinto Nascimento, Robust Shape Tracking with Multiple Models in Ultrasound Images, IEEE Transactions on Image Processing, Vol. 17, pp. 392-406, 2008
[25] João Sanches, Medical Image Noise Reduction using the Sylvester-Lyapunov Equation, IEEE Transactions on Image Processing, vol. 17, 1522-1539, 2008
[26] M. A. Figueiredo, Independent Increment Processes for Human Motion Recognition, International Journal of Computer Vision and Image Understanding, Vol. 109, No. 2, pp. 126-138, 2008
[27] Jacinto Nascimento, Performance Evaluation of Object Detection Algorithms for Video Surveillance, IEEE Transactions on Multimedia, Vol. 8, No. 4, 761-774, 2006
[28] Jacinto Nascimento, Jorge S. Marques, Adaptive Snakes Using the EM Algorithm, IEEE Transactions on Image Processing, Vol. 14, Issue 11, pp. 1678 - 1686, 2005
[29] Jacinto Nascimento, Jorge S. Marques, Robust Shape Tracking in the Presence of Cluttered Background, IEEE Transactions on Multimedia, Vol. 6, no. 6, 2004
[30] Gilles Celeux, Jorge S. Marques, Jacinto Nascimento, Learning Switching Dynamic Models for Objects Tracking, Pattern Recognition, Vol. 37, no. 9, 1835-1840, 2004
[31] Jorge S. Marques, Jacinto Nascimento, An Adaptive Potential for Robust Shape Estimation, Image and Vision Computing Journal, 21,1107-1116, 2003
[32] Jacinto Nascimento, Arnaldo J. Abrantes, Jorge S. Marques, Using middle level features for robust shape tracking, Pattern Recognition Letters, Vol. 24, 295-307, 2003
[33] Jacinto Nascimento, Jorge S. Marques, Robust Multi-Model Filter for Shape Tracking in the Presence of Outliers, Pattern Recognition, Vol. 35, 2711-2718, 2002 - PDF
[34] Jacinto Nascimento, Arnaldo J. Abrantes, Jorge S. Marques, An Algorithm for Centroid Based Tracking of Moving Objects, Proc. of ICASSPP1999 - IEEE International Conference on Acoustics, Speech and Signal Processing, Phoenix, USA, pp. 3305-3308, 1999
[1] M. J. Cardoso, T. Arbel, G. Carneiro, T. Syeda-Mahmood, J. M. R. Tavares, M. Moradi, A. P. Bradley, H. Greenspan, J. P. Papa, A. Madabhushi, Jacinto Nascimento, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS, held in Conjunction with MICCAI, Springer, 2017
[1] Gustavo Carneiro, Jacinto Nascimento, A. P. Bradley, Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-view Images and Segmentation Maps of Lesions, in Deep Learning for Medical Image Analysis, S. K. Zhou, H. Greenspan and D. Shen (Eds.), pp. 321-339, Elsevier, 2017
[2] Jacinto Nascimento, Gustavo Carneiro, A. Freitas, Tracking and segmentation of the endocardium of the Left Ventricle in 2D Ultrasound using Deep Learning architectures and Monte Carlo sampling, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 17, pp. 387-406, CRC Press, 2016
[3] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A 3D Active Shape Model for Left Ventricle Segmentation in MRI, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 4, pp. 99-115, CRC Press, 2016
[4] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust Deformable Models for 2D and 3D Shape Estimation, In Deformation Models, M. Gonzalez, A. Mir, J. Varonav (Eds.), Springer, LNCVB-7, 2013
[5] Carlos Santiago, Jorge S. Marques, Jacinto Nascimento, A robust deformable model for 3D Segmentation of the Left Ventricle from Ultrasound Data, Mathematical Methodologies in Pattern Recognition and Machine Learning, Springer Proceedings in Mathematics and Statistics, vol. 30, pp. 163-178, 2013
[6] Jorge S. Marques, Jacinto Nascimento, A. Abrantes, Margarida Silveira, Robust Shape Estimation with Deformable Models, in Advances in Computational Vision and Medical Image Processing: Methods and Applications, Springer, invited paper, 57-76, 2008 - PDF
[1] Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, Cross-context analysis for long-term view-point invariant Person Re-identification via soft-biometrics using Depth sensor, Proc. of VISAPP - International Conference on Computer vision Theory and Applications, Funchal, Portugal, 2018
[2] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming, Proc. of ICIP 2017 - IEEE International Conference on Image Processing, Beijing, China, 2017
[3] Catarina Barata, Jacinto Nascimento, Jorge S. Marques, A Sparse Approach to Pedestrian Trajectory Modeling using Multiple Motion Fields, Proc. of ICIP 2017 - IEEE International Conference on Image Processing, Beijing, China, 2017
[4] G. Carneiro, Jacinto Nascimento, A. P. Bradley, Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models, Proc. of MICCAI 2017 - International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 665-673, Springer, Cham, Quebec City, Canada, 2017
[5] G. Maicas, G. Carneiro, A. P. Bradley, Jacinto Nascimento, I. Reidy, Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI, Proc. of MICCAI 2017 - International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 665-673, Quebec City, Canada, 2017
[6] David Ribeiro, Gustavo Carneiro, Jacinto Nascimento, Alexandre Bernardino, Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection, Proc. of IbPRIA 2017 - 8th Iberian Conference on Pattern Recognition and Image Analysis Faro, Portugal, 2017
[7] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, A. Fred, Context-Aware Person Re-identification in the Wild via fusion of Gait and Anthropometric features, Proc. of BWild 2017 - International Workshop on Biometrics in the Wild, Washington DC, USA, 2017
[8] David Ribeiro, André Mateus, Pedro Miraldo, Jacinto Nascimento, A real-time deep learning pedestrian detector for robot navigation, Proc. of ICARSC 2017 - 17th International Conference on Autonomous Robot Systems and Competitions, Coimbra, Portugal, 2017
[9] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, A. Fred, Context-Aware Person Re-Identification via Fusion of Anthropometric and Gait Features, BMVA Technical Meeting on Security and Surveillance, London, UK, 2017
[10] G. Carneiro, L. Oakden-Rayner, A. P. Bradley, Jacinto Nascimento, L. J. Palmer, Automated 5-year ortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography, Proc. of ISBI 2017 - IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 2017
[11] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, A. Fred, Towards view-point invariant Person Re-identification via fusion of Anthropometric and Gait Features from Kinect measurements, Proc. of VISAPP 2017 - 12th International Conference on Computer Vision Theory and Applications, Porto, Portugal, 2017
[12] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the Left Ventricle in Cardiac MRI using a Robust Active Shape Model Approach, Proc. of RecPad 2016 - 22nd edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2016 - PDF
[13] Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, José Santos-Victor, Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image, Proc. of ACIVS 2016 - 17th International Conference on Advanced Concepts for Intelligent Vision Systems, Lecce, Italy, 2016
[14] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new robust active shape model formulation for cardiac MRI segmentation, Proc. of ICIP 2016 - IEEE International Conference on Image Processing, Phoenix, Arizona, USA, 2016
[15] Jacinto Nascimento, G. Carneiro, Multi-Atlas Segmentation using manifold learning with deep Belief networks, Proc. of ISBI 2016 - IEEE International Symposium on Biomedical Imaging, Prague, Czech Republic, 2016
[16] Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento, Person Re-identification based on Human query on Soft Biometrics using SVM Regression, Proc. of VISAPP 2016 - 11th International Conference on Computer Vision Theory and Applications, Rome, Italy, 2016 - PDF
[17] Manya Afonso, Jacinto Nascimento, Predictive multiple motion fields for trajectory completion: Application to surveillance systems, Proc. of ICIP 2015 - IEEE International Conference on Image Processing, pp. 2547-2551, Quebec City, Canada, 2015
[18] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model, Proc. of EMBC 2015 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 2015
[19] Jacinto Nascimento, Gustavo Carneiro, Towards Reduction of the Training and Search Running Time Complexities for Non-Rigid Object Segmentation., ICIP 2015 - The International Conference on Image Processing, sponsored by the IEEE Signal Processing Society, Canadá, September , 2015
[20] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI, (best paper award), Proc. of IbPRIA 2015 - 7th Iberian Conference on Pattern Recognition and Image Analysis, Santiago de Compostela, Spain, June, 2015
[21] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Non-rigid Object Segmentation Using Robust Active Shape Models, Proc. of AMDO 2014 - VII Conference on Articulated Motion and Deformable Objects. Lecture Notes in Computer Science, Vol. 8563, pp. 160-169, Palma de Mallorca, Spain, 2014
[22] Jacinto Nascimento, Gustavo Carneiro, Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks, Proc. of CVPR 2014 - IEEE Computer Vision and Pattern Recognition, Ohio, USA, 2014 - PDF
[23] Matteo Taiana, Dario Figueira, Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, Towards Fully Automated Person Re-Identification, Proc. of VISAPP 2014 - International Conference on Computer Vision, Lisbon, Portugal, 2014 - PDF
[24] Dario Figueira, Matteo Taiana, Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, The HDA+ data set for research on fully automated re-identification systems, Proc. of ECCV 2014 Workshop on Visual Surveillance and Re-Identification, Zurich, Switzerland, 2014 - PDF
[25] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A Robust Active Shape Model Using an Expectation-Maximization Framework, Proc. of ICIP 2014 - IEEE International Conference on Image Processing, Paris, France, 2014 - PDF
[26] Jacinto Nascimento, G. Carneiro, Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery, Proc. of ICIP 2013 - IEEE International Conference on Image Processing, pp. 743-746, Melbourne, Australia, 2013
[27] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 3D Left Ventricular Segmentation in Echocardiography using a Probabilistic Data Association Deformable Model, Proc. of ICIP 2013 - IEEE International Conference on Image Processing, Melbourne, Australia, 2013
[28] Jacinto Nascimento, G. Carneiro, Top-down Segmentation of Non-rigid Visual Objects using Derivative-based Search on Sparse Manifolds, Proc. of CVPR 2013 - IEEE Conference on Computer Vision and Pattern Recognition, pp. 1963-1970, Portland, USA, 2013
[29] D. Periquito, Jacinto Nascimento, Alexandre Bernardino, João Sequeira, Vision-based hand pose estimation: A mixed bottom-up and top-down approach, Proc. of VISAPP 2013 - International Conference on Computer Vision, Barcelona, Spain, 2013
[30] Matteo Taiana, Jacinto Nascimento, Alexandre Bernardino, An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection, Proc. of IbPRIA 2013 - 6th Iberian Conference on Pattern Recognition and Image Analysis, Madeira, Portugal, 2013 - PDF
[31] Jacinto Nascimento, M. Barao, J. M. Lemos, Jorge S. Marques, Efficient Optimization Algorithm for Space-Variant Switching of Vector Fields, Proc. of IbPRIA 2013 - 6th Iberian Conference on Pattern Recognition and Image Analysis, Madeira, Portugal, pp. 79-88, 2013
[32] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Performance Evaluation of Point Matching Algorithms for Left Ventricle Motion Analysis in MRI, Proc. of EMBC 2013 - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, pp. 4398-4401, 2013
[33] Manya Afonso, Jorge S. Marques, Jacinto Nascimento, Automatic estimation of multiple motion fields using object trajectories and optical, Proc. of ICPRAM 2012 International Conference on Pattern Recognition Applications and Methods, Vilamoura, Portugal, pp. 457462, 2012
[34] Jacinto Nascimento, J. M. Lemos, Jorge S. Marques, A Class of Parametric Vector Fields for Human Activity Recognition, Proc. of ICIP 2012 - IEEE International Conference on Image Processing, Orlando, FL, USA, 2012
[35] Jorge S. Marques, J. Lemos, M. Figueiredo, Jacinto Nascimento, M. Barao, Trajectory Analysis Using Switched Motion Fields: a Parametric Approach, Proc. of IbPRIA 2011 - 5th Iberian Conference on Pattern Recognition and Image Analysis, Las Palmas de Gran Canaria, Spain, 2011
[36] Jacinto Nascimento, Jorge S. Marques, J. Lemos, Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance, Proc. of ICIP 2011 - IEEE International Conference on Image Processing, Brussels, Belgium, 2011
[37] Jacinto Nascimento, Jorge S. Marques, M. Figueiredo, Discriminative Model Selection Using a Modified Bayesian Criterion: Application to Trajectory Modeling, Proc. of ICIP 2011 - IEEE International Conference on Image Processing, Brussels, Belgium, 2011
[38] Jacinto Nascimento, Jorge S. Marques, M. A. T. Figueiredo, Discriminative Model Selection for Object Motion Recognition, Proc. of ICIP 2010 - International Conference on Image Processing, Hong Kong, 2010
[39] M. A. T. Figueiredo, Classification of Complex Pedestrian Activities from Trajectories, Proc. of ICIP 2010 - International Conference on Image Processing, Hong Kong, 2010
[40] Gustavo Carneiro, Jacinto Nascimento, The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking, Proc. of ICPR 2010 - 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010 - PDF
[41] Jacinto Nascimento, J. G. Silva, Manifold learning for object tracking with multiple motion dynamics, Proc. of ECCV 2010 - European Conference on Computer Vision, Creete, Grece, 2010
[42] Jacinto Nascimento, Jorge S. Marques, Improved Gradient Vector Flow for robust shape estimation in medical imaging, Proc. of EMBC 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, 2010
[43] Gustavo Carneiro, Jacinto Nascimento, A. Freitas, Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods, Proc. of ISBI 2010 - IEEE International Symposium on Biomedical Imaging, Rotterdam, The Netherlands, 2010
[44] Gustavo Carneiro, Jacinto Nascimento, Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures, Proc. of CVPR 2010 - IEEE International Conference on Computer Vision Pattern Recognition, San Francisco, USA, 2010
[45] Jacinto Nascimento, Gustavo Carneiro, Efficient search methods and Deep belief Networks with particle filtering for non-rigid tracking: Application to lip tracking, Proc. of ICIP 2010 - IEEE International Conference on Image Processing, pp. 3817-3820, Hong-Kong, 2010
[46] Jacinto Nascimento, Jorge S. Marques, Improving the Robustness of Gradient Vector Flow in Cluttered Images, Proc. of ICIP 2010 - IEEE International Conference on Image Processing, Hong Kong, 2010
[47] Gustavo Carneiro, Detection of the Left Ventricle of the Heart in Ultrasound Images using Deep Neural Networks, Proc. of RecPad 2009 - 15th edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2009
[48] M. A. T. Figueiredo, Trajectory Modeling Using Mixtures of Vector Fields, Proc. of IbPRIA 2009 - 4th Iberian Conference on Pattern Recognition and Image Analysis, Povoa de Varzim, Portugal, 2009
[49] Jacinto Nascimento, M. A. Figueiredo, Jorge S. Marques, Trajectory analysis in natural images using mixtures of vector Fields, Proc. of ICIP 2009 - IEEE International Conference on Image Processing, Cairo, Egypt, 2009
[50] João Sanches, Total Variation with Automatic Hyper-Parameter Estimation, Proc. of EMBC 2008 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, 2008 - PDF
[51] J. Santos, Color 3D Model-Based Tracking with Arbitrary Projection Models, Proc. of SIMPAR 2008 - International Conference on Simulation, Modeling and Programming for Autonomous Robots, Workshop on Omnidirectional Robot Vision, Venice, Italy, 2008 - PDF
[52] M. A. T. Figueiredo, Unsupervised Learning of Motion Patterns using Generative Models, Proc. of ICIP 2008 - IEEE International Conference on Image Processing, San Diego, CA, USA, 2008
[53] João Sanches, Jacinto Nascimento, Ultrasound Imaging LV Tracking with Adaptive Window Size and Automatic Hyper-Parameter Estimation, Proc. of ICIP 2008 - IEEE International Conference on Image Processing, San Diego, CA, USA, 2008
[54] Margarida Silveira, Jacinto Nascimento, Jorge S. Marques, Level Set Segmentation with Outlier Rejection, Proc. of ICIP 2008 - IEEE International Conference on Image Processing, San Diego, CA, USA, 2008
[55] Matteo Taiana, Sample-Based 3D Tracking of Colored Objects: A Flexible Architecture, Proc. of BMVC 2008 - The British Machine Vision Conference, University of Leeds, Leeds, UK, 2008 - PDF
[56] Jorge S. Marques, Jacinto Nascimento, João Sanches, Tracking of the Left Ventricle using a Lyapounov Based denoising Algorithm, Proc. of RecPad 2007 - 13ª Conferencia Portuguesa de Reconhecimento de Padroes, Lisbon, Portugal , 2007
[57] João Sanches, An Unified Framework for Bayesian Denoising for Several Medical and Biological Imaging Modalities, Proc. of EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, 2007
[58] Jorge S. Marques, Jacinto Nascimento, M. A. Figueiredo, Learning Generative Models for Classification-Recognition of Human Trajectories Using Semi-Supervised EM Algorithm, Proc. of RecPad 2007 - 13ª Conferencia Portuguesa de Reconhecimento de Padroes, Lisbon, Portugal , 2007 - PDF
[59] Margarida Silveira, Jacinto Nascimento, Jorge S. Marques, Automatic segmentation of the lungs using robust level sets, Proc. of EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, pp. 4414-4417, 2007
[60] T. Mendonca, A. R. S. Marcal, A. Vieira, Jacinto Nascimento, Margarida Silveira, Jorge S. Marques, J. Rozeira, Comparison of Segmentation Methods for Automatic Diagnosis of Dermoscopy Images, Proc. of EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, pp. 6572-6576, 2007
[61] Matteo Taiana, On the Use of Perspective Catadioptric Sensors for 3D Model-Based Tracking with Particle Filters, Proc. of IROS 2007 - IEEE International Conference on Intelligent Robots and Systems, San Diego, CA, USA, 2007 - PDF
[62] M. A. Figueiredo, Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications, Proc. of ICIP 2007 - IEEE International Conference on Image Processing, San Antonio, Texas, USA, 2007 - PDF
[63] M. Figueiredo, On-line Classification of Human Activities, Proc. of IbPRIA2007 - 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain, 2007 - PDF
[64] João Sanches, Tracking the left ventricle in ultrasound images based on total variation denoising, Proc. of IbPRIA2007 - 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain, 2007 - PDF
[65] Matteo Taiana, 3D tracking by Catadioptric Vision Based on Particle Filters, Proc. of Robocup2007 - Robocup International Symposium, Atlanta, USA, 2007 - PDF
[66] João Sanches, Jorge S. Marques, A Method for the Dynamic Analysis of the Heart Using a Lyapounov Based Denoising Algorithm, Proc. EMBS2006 - IEEE International Conference of the Engineering in Medicine and Biology Society, New York City, USA, 2006 - PDF
[67] J. L. Crowley, Comparison of target detection algorithms using adaptive background models, Proc. VS-PETS2005 - 2ndJoint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Beijing, China, 2005 - PDF
[68] Jacinto Nascimento, Mario Figueiredo, Jorge S. Marques, Recognition of Human Activities Using Space Dependent Switched Dynamical Models, Proc. of ICIP2005 - IEEE International Conference on Image Processing, pp. 852-855, Genoa, Italy, 2005
[69] Jacinto Nascimento, Mario Figueiredo, Jorge S. Marques, Segmentation and Classification of Human Activities, Proc. of HAREM2005 - Workshop on Human Activity Recognition and Modelling, held at BMVC2005 - British Machine Vision Conference, pp. 79-86, Oxford, UK, 2005
[70] Jacinto Nascimento, New Performance Evaluation Metrics for Object Detection Algorithms, Workshop PETS, Prague, Czech Republic, 2004
[71] Jacinto Nascimento, Jorge S. Marques, João Sanches, Estimation of Cardiac Phases in Echographic Images Using Multiple Models, Proc. ICIP2003 - The IEEE International Conference on Image Processing, Barcelona, Spain, 2003 - PDF
[72] Jacinto Nascimento, Arnaldo J. Abrantes, Jorge S. Marques, The Role of Middle level features for robust shape tracking, 12th Portuguese Conference on Pattern Recognition, Aveiro, 2002 - PDF
[73] Jacinto Nascimento, Jorge S. Marques, An Adaptive Potential for Robust Shape Estimation, British Machine Vision Conference, 343-352, Manchester, 2001
[74] Jacinto Nascimento, Jorge S. Marques, Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models, Pattern Recognition in Information Systems, A. Fred, A. Jain, eds, 50-58, Setubal, 2001 - PDF
[75] Jacinto Nascimento, Jorge S. Marques, Robust Shape Tracking in the Presence of Cluttered Background, IEEE International Conference on Image Processing, vol.3, 82-85, Vancouver, Canada, 2000
[1] Jacinto Nascimento, Robust Shape Estimation and Tracking in the Presence of Clutter, Ph.D. Thesis, Instituto Superior Tecnico, Lisbon, Portugal, 2003

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Marko Beko
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Francisco Calisto
Pedro Cardoso
João Carvalho
Ivo Cortez
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Hans Du Buf
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Pedro Guerreiro
Pedro Guerreiro
Qiwei Han
Sérgio Jesus
Pusheng Ji
Roberto Lam
Isabel Lourtie
Vasco Ludovico
Lussac Maia
Zita Marinho
Manuel Marques
Bernardo Marques
Nelson Martins
Celestino Martins
Dmytro Maslov
Alexandre Matos
Inês Pereira de Matos
Manuel Melo
Jacinto Nascimento
Filipa Oliveira
João Rodrigues
Orlando Rodriguez
Mário Saleiro
Carlos Santiago
Paulo Santos
Ana Bela Santos
João Saúde
Joao Semedo
António Silva
Luís Silva
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