Jacinto C. Nascimento

According to our database1, Jacinto C. Nascimento authored at least 118 papers between 1999 and 2020.

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Bibliography

2020
Deep Active Shape Model for Robust Object Fitting.
IEEE Trans. Image Process., 2020

Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unsupervised Task Design to Meta-Train Medical Image Classifiers.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

3DRegNet: A Deep Neural Network for 3D Point Registration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis.
Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019
Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation.
Robotics Auton. Syst., 2019

Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.
Medical Image Anal., 2019

Gait-based Person Re-identification: A Survey.
ACM Comput. Surv., 2019

Editorial.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based Descriptors.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras.
Proceedings of the International Conference on Robotics and Automation, 2019

Multiple Agents Representation Using Motion Fields.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Fast segmentation of the left ventricle in cardiac MRI using dynamic programming.
Comput. Methods Programs Biomed., 2018

1st MICCAI workshop on deep learning in medical image analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Cross-context Analysis for Long-term View-point Invariant Person Re-identification via Soft-biometrics using Depth Sensor.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Training Medical Image Analysis Systems like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Combining an Active Shape and Motion Models for Object Segmentation in Image Sequences.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Robust Feature Descriptors for Object Segmentation Using Active Shape Models.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

Improving a Switched Vector Field Model for Pedestrian Motion Analysis.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017
Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.
IEEE Trans. Medical Imaging, 2017

Deep Learning on Sparse Manifolds for Faster Object Segmentation.
IEEE Trans. Image Process., 2017

Improving the performance of pedestrian detectors using convolutional learning.
Pattern Recognit., 2017

A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes.
Neural Comput. Appl., 2017

Towards View-point Invariant Person Re-identification via Fusion of Anthropometric and Gait Features from Kinect Measurements.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Towards Touch-Based Medical Image Diagnosis Annotation.
Proceedings of the Interactive Surfaces and Spaces, 2017

Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A sparse approach to pedestrian trajectory modeling using multiple motion fields.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A real-time Deep Learning pedestrian detector for robot navigation.
Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017

Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Context-Aware Person Re-Identification in the Wild Via Fusion of Gait and Anthropometric Features.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
A Window-Based Classifier for Automatic Video-Based Reidentification.
IEEE Trans. Syst. Man Cybern. Syst., 2016

A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation.
CoRR, 2016

Person Re-identification based on Human Query on Soft Biometrics using SVM Regression.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Multi-atlas segmentation using manifold learning with deep belief networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A new robust active shape model formulation for cardiac MRI segmentation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

2015
Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2015

2D Segmentation Using a Robust Active Shape Model With the EM Algorithm.
IEEE Trans. Image Process., 2015

Shape Context for soft biometrics in person re-identification and database retrieval.
Pattern Recognit. Lett., 2015

On the purity of training and testing data for learning: The case of pedestrian detection.
Neurocomputing, 2015

An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification.
Neurocomputing, 2015

Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Towards reduction of the training and search running time complexities for non-rigid object segmentation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Predictive multiple motion fields for trajectory completion: Application to surveillance systems.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach.
IEEE Trans. Multim., 2014

Manifold Learning for Object Tracking With Multiple Nonlinear Models.
IEEE Trans. Image Process., 2014

Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM.
IEEE Trans. Image Process., 2014

Towards Fully Automated Person Re-identification.
Proceedings of the VISAPP 2014, 2014

A robust active shape model using an expectation-maximization framework.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

The HDA+ Data Set for Research on Fully Automated Re-identification Systems.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Non-rigid Object Segmentation Using Robust Active Shape Models.
Proceedings of the Articulated Motion and Deformable Objects, 2014

2013
Modeling and Classifying Human Activities From Trajectories Using a Class of Space-Varying Parametric Motion Fields.
IEEE Trans. Image Process., 2013

Activity Recognition Using a Mixture of Vector Fields.
IEEE Trans. Image Process., 2013

Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2013

Vision-based Hand Pose Estimation - A Mixed Bottom-up and Top-down Approach.
Proceedings of the VISAPP 2013, 2013

3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model.
Proceedings of the IEEE International Conference on Image Processing, 2013

Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery.
Proceedings of the IEEE International Conference on Image Processing, 2013

An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Efficient Optimization Algorithm for Space-Variant Mixture of Vector Fields.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
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., 2012

Robust Deformable Model for Segmenting the Left Ventricle in 3D Volumes of Ultrasound Data.
Proceedings of the ICPRAM 2012, 2012

Automatic Estimation of Multiple Motion Fields using Object Trajectories and Optical Flow.
Proceedings of the ICPRAM 2012, 2012

A class of space-varying parametric motion fields for human activity recognition.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Lip contour tracking using multiple dynamic models on a manifold.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Trajectory Analysis Using Switched Motion Fields: A Parametric Approach.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010
Trajectory Classification Using Switched Dynamical Hidden Markov Models.
IEEE Trans. Image Process., 2010

Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features.
Robotics Auton. Syst., 2010

Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Discriminative model selection for object motion recognition.
Proceedings of the International Conference on Image Processing, 2010

Classification of complex pedestrian activities from trajectories.
Proceedings of the International Conference on Image Processing, 2010

Improving the robustness of gradient vector flowin cluttered images.
Proceedings of the International Conference on Image Processing, 2010

Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking.
Proceedings of the International Conference on Image Processing, 2010

Manifold Learning for Object Tracking with Multiple Motion Dynamics.
Proceedings of the Computer Vision, 2010

Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images.
IEEE J. Sel. Top. Signal Process., 2009

Trajectory analysis in natural images using mixtures of vector fields.
Proceedings of the International Conference on Image Processing, 2009

Trajectory Modeling Using Mixtures of Vector Fields.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008
Medical Image Noise Reduction Using the Sylvester-Lyapunov Equation.
IEEE Trans. Image Process., 2008

Robust Shape Tracking With Multiple Models in Ultrasound Images.
IEEE Trans. Image Process., 2008

Independent increment processes for human motion recognition.
Comput. Vis. Image Underst., 2008

Level set segmentation with outlier rejection.
Proceedings of the International Conference on Image Processing, 2008

Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation.
Proceedings of the International Conference on Image Processing, 2008

Unsupervised learning of motion patterns using generative models.
Proceedings of the International Conference on Image Processing, 2008

Sample-Based 3D Tracking of Colored Objects : A Flexible Architecture.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
3D Tracking by Catadioptric Vision Based on Particle Filters.
Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 2007

On the use of perspective catadioptric sensors for 3D model-based tracking with particle filters.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications.
Proceedings of the International Conference on Image Processing, 2007

Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

On-Line Classification of Human Activities.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Performance Evaluation of Object Detection Algorithms for Video Surveillance.
IEEE Trans. Multim., 2006

Corrections to "Adaptive Snakes Using the EM Algorithm".
IEEE Trans. Image Process., 2006

2005
Adaptive snakes using the EM algorithm.
IEEE Trans. Image Process., 2005

Recognition of human activities using space dependent switched dynamical models.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Robust shape tracking in the presence of cluttered background.
IEEE Trans. Multim., 2004

Learning switching dynamic models for objects tracking.
Pattern Recognit., 2004

2003
Using middle level features for robust shape tracking.
Pattern Recognit. Lett., 2003

An adaptive potential for robust shape estimation.
Image Vis. Comput., 2003

Estimation of cardiac phases in echographic images using multiple models.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Improving the robustness of parametric shape tracking with switched multiple models.
Pattern Recognit., 2002

1999
An algorithm for centroid-based tracking of moving objects.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999


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