Mehryar Emambakhsh

Orcid: 0000-0001-6416-7668

According to our database1, Mehryar Emambakhsh authored at least 14 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
Convolutional Recurrent Predictor: Implicit Representation for Multi-Target Filtering and Tracking.
IEEE Trans. Signal Process., 2019

Filtering Point Targets via Online Learning of Motion Models.
CoRR, 2019

Deep Recurrent Neural Network for Multi-target Filtering.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Efficient Multi-Sensor Extended Target Tracking using GM-PHD Filter.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Nasal Patches and Curves for Expression-Robust 3D Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016
Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach.
Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

2015
Noise modelling for denoising and three-dimensional face recognition algorithms performance evaluation.
IET Comput. Vis., 2015

2014
Using the 3D shape of the nose for biometric authentication.
PhD thesis, 2014

A Low Dimensionality Expression Robust Rejector for 3D Face Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
An evaluation of denoising algorithms for 3D face recognition.
Proceedings of the 5th International Conference on Imaging for Crime Detection and Prevention, 2013

Using nasal curves matching for expression robust 3D nose recognition.
Proceedings of the IEEE Sixth International Conference on Biometrics: Theory, 2013

2011
Self-dependent 3D face rotational alignment using the nose region.
Proceedings of the 4th International Conference on Imaging for Crime Detection and Prevention, 2011

2010
Integrated region-based segmentation using color components and texture features with prior shape knowledge.
Int. J. Appl. Math. Comput. Sci., 2010


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