[visionlist] WCCI-JCNN 2022 Special Session on Machine Learning and Deep Learning Methods applied to Vision and Robotics (MLDLMVR) Padua, Italy - 18 -23 July, 2022

[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 WCCI-JCNN 2022
Special Session on Machine Learning and Deep Learning Methods applied to
Vision and Robotics (MLDLMVR) https://www.dtic.ua.es/~jgarcia/WCCI2022/

 

Padua,  Italy – 18 -23 July, 2022  https://wcci2022.org/

 

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 31, 2022

 

Paper acceptance notification date 

April 26, 2022

 

Conference

July 18-23, 2022

 

Submission Guidelines: 

Please follow the regular submission guidelines of IJCNN 2022. Please notify
the chairs of your submission by sending an email to: jgarcia at dtic.ua.es
<mailto:jgarcia at dtic.ua.es> . 

 

                              

Chairs: 

José García-Rodríguez -University of Alicante (Spain) 

Alexandra Psarrou – University of Westminster (UK) 

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

Andrew Lewis – Griffith University (Australia) 

 

Contact: 

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

Main Conference webpage: https://wcci2022.org/

Special session webpage: http://www.dtic.ua.es/~jgarcia/WCCI2022

 

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 

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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