[visionlist] IJCNN 2021 (Shenzhen (China) 18-22 July) Special Session on Machine Learning and Deep Learning Methods applied to Vision and Robotics (MLDLMVR)

Thu Dec 3 08:27:51 -04 2020

[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 2021
Special Session on Machine Learning and Deep Learning Methods applied to
Vision and Robotics (MLDLMVR) in Shenzhen (China) 18-22 July, 2021.
http://www.dtic.ua.es/~jgarcia/IJCNN2021/

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)

•     Registration Methods

*	Convolutional Neural Networks CNN  
*	Recurrent Neural Networks RNN 
*	Deep Reinforcement Learning DRL
*	Generative Adversial Networks
*	Predictive Learning
*	Active-Incremental-Online Learning
*	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
*	6D Object detection
*	Objects Grasping/Manipulation
*	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

•     Human body reconstruction

*	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
*	Synthetic data generation
*	Sim2Real
*	Industry 4.0
*	IoT and Cyber-physical Systems

Important dates: 

Paper Submission Deadline

January 15, 2021

Paper acceptance notification date 

March 15, 2021 

Conference

July 18-22, 2021

Submission Guidelines: 

Please follow the regular submission guidelines of IJCNN 2021 selecting the
Special Session S05. Please notify the chairs of your submission by sending
an email to: jgarcia at dtic.ua.es <mailto: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.

Tentative journal special issue is being managed with Journal Sensors:
https://www.mdpi.com/journal/sensors/special_issues/Deep_Learning_Image_Reco
gnition_Systems but other special issues are being discussed.

Chairs: 

José García-Rodríguez -University of Alicante (Spain) 

Alexandra Psarrou – University of Westminster (UK) 

Isabelle Guyon - , U. Paris-Saclay, France and ChaLearn, USA 

Antonis Argyros - Institute of Computer Science, FORTH (Greece)

Andrew Lewis – Griffith University (Australia) 

Sergio Escalera -  University of Barcelone (Spain)  

Juxi Leitner - LYRO Robotics Pry Ltd and QUT Centre of Robotics (Australia)

Enrique Dominguez – Univesity of Malaga (Spain) 

Contact: 

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

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

Special session webpage: http://www.dtic.ua.es/~jgarcia/IJCNN2021/

Best regards.

Jose

Jose Garcia-Rodriguez, Phd

Full Professor in Computer Vision, Machine Learning & HPC

Editor in Chief International Journal of Computer vision and Image
Processing 

Vice-Dean International Relations Polytechnic University College 

Director Phd Program in Computer Science 

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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