[visionlist] IJCNN 2019 Budapest (14-19 July, 2019) Special Session on Machine Learning and Deep Learning Methods applied to Vision and Robotics (MLDLMVR) S15

[Jose Garcia]

[Apologies for multiple copies due to cross-posting. Please forward to
colleagues who might be interested]

 

Dear Colleague,

 

We would like to cordially invite you to submit a paper for IJCNN 2019
Special Session on Machine Learning and Deep Learning Methods applied to
Vision and Robotics (MLDLMVR) in Budapest (Hungary) 14 to 19 July, 2019.

 

 <http://www.dtic.ua.es/~jgarcia/IJCNN2018/index.html> IJCNN 2019 Special
Session on Machine Learning and Deep Learning Methods applied to Vision and
Robotics (MLDLMVR) 

 

 

Aims: 

 

Over the last decades there has been an increasing interest in using machine
learning and in the last few years, deep learning methods, combined with
other vision techniques to create autonomous systems that solve vision
problems in different fields. This special session is designed to serve
researchers and developers to publish original, innovative and state-of-the
art algorithms and architectures for real time applications in the areas of
computer vision, image processing, biometrics, virtual and augmented
reality, neural networks, intelligent interfaces and biomimetic
object-vision recognition.

 

This special session provides a platform for academics, developers, and
industry-related researchers belonging to the vast communities of *Neural
Networks*, *Computational Intelligence*, *Machine Learning*, *Deep
Learning*, *Biometrics*, *Vision systems*, and *Robotics *, to discuss,
share experience and explore traditional and new areas of the computer
vision, machine and deep learning combined to solve a range of problems. The
objective of the workshop is to integrate the growing international
community of researchers working on the application of Machine Learning and
Deep Learning Methods in Vision and Robotics to a fruitful discussion on the
evolution and the benefits of this technology to the society.

 

The methods and tools applied to vision and robotics include, but are not
limited to, the following:

 

*	Computational Intelligence methods
*	Machine Learning methods
*	Self-adaptation, self-organisation and self-supervised learning
*	Robust computer vision algorithms (operation under variable
conditions, object tracking, behaviour analysis and learning, scene
segmentation,,,,) 
*	Extraction of Biometric Features (fingerprint, iris, face, voice,
palm, gait)
*	Convolutional Neural Networks CNN  
*	Recurrent Neural Networks RNN 
*	Deep Reinforcement Learning DRL
*	Hardware implementation and algorithms acceleration (GPUs, FPGA,s,
)

The fields of application can be identified, but are not limited to, the
following:

 

*	Video and Image Processing
*	Video tracking 
*	3D Scene reconstruction
*	3D Tracking in Virtual Reality Environments 
*	3D Volume visualization
*	Intelligent Interfaces (User-friendly Man Machine Interface)
*	Multi-camera and RGB-D camera systems 
*	Multi-modal Human Pose Recovery and Behavior Analysis
*	Gesture and posture analysis and recognition 
*	Biometric Identification and Recognition 
*	Extraction of Biometric Features (fingerprint, iris, face, voice,
palm, gait)
*	Surveillance systems
*	Autonomous and Social Robots
*	Robotic vision
*	Industry 4.0
*	IoT and Cyber-physical Systems

 

Important dates: 

Paper Submission Deadline

December 15, 2019

 

Paper acceptance notification date 

January 30, 2019 

 

Conference

July 14-19, 2019

 

Submission Guidelines: 

Please follow the regular submission guidelines of IJCNN 2019 selecting
Special Session S15. Please notify the chairs of your submission by sending
an email to: jgarcia at dtic.ua.es. 

 

Journal special Issue

 

A Journal special Issue with extended versions of best special session
papers is being managed.

Previous special session best papers were published in Neural Processing
Letters 2014 and Neural Computing and Applications 2015, Expert Systems
2017, Computational Intelligence and Neuroscience 2018.

                                 

Chairs: 

 

José García-Rodríguez -University of Alicante (Spain)
<mailto:jgarcia at dtic.ua.es> jgarcia at dtic.ua.es

Alexandra Psarrou – University of Westminster (UK)
<mailto:psarroa at wmin.ac.uk> psarroa at wmin.ac.uk

Isabelle Guyon - , U. Paris-Saclay, France and ChaLearn, USA
<mailto:guyon at clopinet.com> guyon at clopinet.com

Andrew Lewis – Griffith University (Australia)
<mailto:a.lewis at griffith.edu.au> a.lewis at griffith.edu.au

Sergio Escalera -  University of Barcelone (Spain)  

 <mailto:sergio.escalera.guerrero at gmail.com>
sergio.escalera.guerrero at gmail.com

Juxi Leitner - Australian Centre for Robotic Vision (ACRV) QUT (Australia)
<mailto:j.leitner at qut.edu.au> j.leitner at qut.edu.au

Enrique Dominguez – Univesity of Malaga (Spain)
<mailto:enriqued at lcc.uma.es> enriqued at lcc.uma.es

 

Contact: 

 

Email:  <mailto:jgarcia at dtic.ua.es> jgarcia at dtic.ua.es 

Main Conference webpage:  <https://www.ijcnn.org/> https://www.ijcnn.org/

Special session webpage:  <http://www.dtic.ua.es/~jgarcia/IJCNN2018/>
http://www.dtic.ua.es/~jgarcia/IJCNN2019/

 

 

Best regards.

 

Jose

 

Jose Garcia-Rodriguez, Phd

Professor

Editor in Chief International Journal of Computer vision and Image
Processing 

Vice-Dean International Relations Polytechnic University College 

Director Phd Program in Computer Science 

Director of NVIDIA  GPU Research Center  & GPU Education Center 

Dpt. Computer Technology , University of Alicante. PO Box. 99. 03080
Alicante (Spain)

tel: +34 965903400 ext. 2616 mobile: +34 610488989 fax: +34 965909643

email: jgarcia at dtic.ua.es  skype: jose.garcia.alicante   website:
http://www.dtic.ua.es/~jgarcia/

 

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