[visionlist] SOCO 2021 Special Session Applications of Machine Learning in Computer Vision, Bilbao (Spain)/or online 22 to 24 September, 2021. Deadline: 1st May, 2021

[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 the 16th
International Conference on Soft Computing Models in Industrial and
Environmental Applications (SOCO 2021) http://2021.sococonference.eu/  in
Bilbao  (Spain)/or online  22 to 24 September, 2021.  

Special Session on Applications of Machine Learning in Computer Vision,
http://2021.sococonference.eu/ss01/

Abstract

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 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 this special session is to integrate the growing international
community of researchers working on the application of Machine Learning and
Deep Learning Methods in Computer Vision to a fruitful discussion on the
evolution and the benefits of this technology to the society.

Topics

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 and self-organisation 
*	Robust computer vision algorithms (operation under variable
conditions, object tracking, behaviour analysis and learning, scene
segmentation,,,,) 
*	Registration methods
*	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 
*	Human body reconstruction
*	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
*	Data visualization

Session Chairs

*	Jose Garcia Rodriguez, University of Alicante (Spain)
*	Alexandra Psarrou, University of Westminster (UK)
*	Jorge Azorin Lopez, University of Alicante (Spain)

Important Dates

 

*	Paper submission deadline      1st May 2021 (Extension of 2 weeks
expected)
*	Acceptance notification            17th May 2021
*	Submission of revised papers 10th June 2021
*	Final version submission          28th June 2021
*	Payment deadline         1st July 2021
*	Conference dates          22nd - 24th September 2021

 

Special Issues

 

Selected papers will be invited for extension at: 

*	* Neurocomputing (ELSEVIER): according to the Journal Citation
ReportsR (published by Clarivate Analytics) 2019 Impact Factor 4.438 Q1,
5-Year Impact Factor is 4.010.
*	* Logic Journal of the IGPL (OXFORD ACADEMIC): according to the
Journal Citation ReportsR (published by Clarivate Analytics) 2018 Impact
Factor 0.931 Q1, 

5-Year Impact Factor is 0.706.

 

Best regards

 

Jose

 

Jose Garcia-Rodriguez, Phd

Full Professor in Computer Vision, Machine Learning & HPC

Vice-Dean International Relations Polytechnic University College 

Director Phd Program in Computer Science 

Editor in Chief International Journal of Computer vision and Image
Processing 

Member of ELLIS Society (European Laboratory for Learning and Intelligent
Systems- https://ellis.eu/members)

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

 

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