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</o:shapelayout></xml><![endif]--></head><body lang=ES link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:"Cambria",serif'>[Apologies for multiple copies due to cross-posting. Please forward to colleagues who might be interested]</span><o:p></o:p></p><p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:"Cambria",serif'> </span><o:p></o:p></p><p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:"Cambria",serif'>Dear Colleague,</span><o:p></o:p></p><p class=MsoPlainText><span lang=EN-US style='font-size:11.0pt;font-family:"Cambria",serif'> </span><o:p></o:p></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>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) </span><a href="https://www.dtic.ua.es/~jgarcia/WCCI2022/">https://www.dtic.ua.es/~jgarcia/WCCI2022/</a><o:p></o:p></p><p class=MsoNormal> <o:p></o:p></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif;color:black;mso-fareast-language:ES'>Padua, Italy – 18 -23 July, 2022</span> <a href="https://wcci2022.org/">https://wcci2022.org/</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Aims: <o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>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.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>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.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>The methods and tools applied to vision and robotics include, but are not limited to, the following:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Computational Intelligence methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Machine Learning methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Self-adaptation, self-organisation and self-supervised learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Robust computer vision algorithms (operation under variable conditions, object tracking, behaviour analysis and learning, scene segmentation,,,,) <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Registration Methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Convolutional Neural Networks CNN <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Recurrent Neural Networks RNN <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Deep Reinforcement Learning DRL<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Generative Adversial Networks<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Predictive Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Active-Incremental-Online Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Hardware implementation and algorithms acceleration (GPUs, FPGA,s,…)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>The fields of application can be identified, but are not limited to, the following:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Video and Image Processing<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Video tracking <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• 3D Scene reconstruction<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• 6D Object detection<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Objects Grasping/Manipulation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• 3D Tracking in Virtual Reality Environments <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• 3D Volume visualization<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Intelligent Interfaces (User-friendly Man Machine Interface)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Multi-camera and RGB-D camera systems <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Multi-modal Human Pose Recovery and Behavior Analysis<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Human body reconstruction<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Gesture and posture analysis and recognition <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Biometric Identification and Recognition <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Surveillance systems<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Autonomous and Social Robots<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Robotic vision<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Synthetic data generation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Sim2Real<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• Industry 4.0<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>• IoT and Cyber-physical Systems<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Important dates: <o:p></o:p></span></b></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Paper Submission Deadline<o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>January 31, 2022<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Paper acceptance notification date <o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>April 26, 2022<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Conference<o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>July 18-23, 2022<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Submission Guidelines: <o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Please follow the regular submission guidelines of IJCNN 2022. Please notify the chairs of your submission by sending an email to: <a href="mailto:jgarcia@dtic.ua.es">jgarcia@dtic.ua.es</a>. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'> <o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Chairs: <o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>José García-Rodríguez -University of Alicante (Spain) <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Alexandra Psarrou – University of Westminster (UK) <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Isabelle Guyon - , U. Paris-Saclay, France and ChaLearn, USA <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Andrew Lewis – Griffith University (Australia) <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Cambria",serif'>Contact: <o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Email: <a href="mailto:jgarcia@dtic.ua.es">jgarcia@dtic.ua.es</a> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Main Conference webpage: <a href="https://wcci2022.org/">https://wcci2022.org/</a><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Special session webpage: <a href="http://www.dtic.ua.es/~jgarcia/WCCI2022">http://www.dtic.ua.es/~jgarcia/WCCI2022</a><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Best regards<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Cambria",serif'>Jose<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>Jose Garcia-Rodriguez, Phd<o:p></o:p></span></b></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>Full Professor in Computer Vision, Machine Learning & HPC<o:p></o:p></span></b></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>Vice-Dean International Relations Polytechnic University College <o:p></o:p></span></b></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>Director Phd Program in Computer Science <o:p></o:p></span></b></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>Member of ELLIS Society (European Laboratory for Learning and Intelligent Systems- <a href="https://ellis.eu/members">https://ellis.eu/members</a>)<o:p></o:p></span></b></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>Dpt. Computer Technology , University of Alicante. PO Box. 99. 03080 Alicante (Spain)<o:p></o:p></span></b></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>tel: +34 965903400 ext. 2616 mobile: +34 610488989 fax: +34 965909643<o:p></o:p></span></b></p><p class=MsoNormal><b><span style='mso-fareast-language:ES'>email: <a href="mailto:jgarcia@dtic.ua.es">jgarcia@dtic.ua.es</a> skype: jose.garcia.alicante website: <a href="http://www.dtic.ua.es/~jgarcia/">http://www.dtic.ua.es/~jgarcia/</a></span></b><span style='mso-fareast-language:ES'><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>