ICCV Workshop – 1st International Workshop on Distributed Smart Cameras

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About IWDSC
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Smart camera networks are becoming a fundamental piece of our intelligent cities, buildings, and homes, progressively inserting themselves into our lives. From smart surveillance systems composed of a multitude of smart camera nodes to small wearable cameras able to render a visual log of our daily experience, these devices interact with each other and with a wealth of other smart things, and of course the internet. Their rapid development is possible thanks to the convergence of several technologies. From advanced image sensors and vision chips to embedded vision systems capable of efficient feature extraction, image encoding and wireless transmission of the relevant visual content: This technology opens the door to new application domains, where video analytics and the extraction of semantic information from the scene is performed in a distributed fashion, implementing a new type of cooperative and/or collaborative vision. 

The IWDSC team has previously organized 12 editions of the International Conference on Distributed Smart Cameras (ICDSC) with ACM as an international forum to discuss recent advances and open issues in these topics. 

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Papers are invited in the following and related areas:
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=> Smart cameras in Internet of Things (IoT), Industry 4.0 and smart transport
– Smart cameras as IoT sensors
– Intelligent traffic cameras
– Smart IoT security camera for smart homes
– Smart cameras for Industry 4.0
– Vision sensors in Vehicular Ad- hoc Networks (VANETs)

=> Mobile Vision, 3D and Robotics
– 3D reconstruction of everything
– Driver assistance, autonomous driving
– Social robot
– Drone distributed smart cameras
– Structure-from-motion in mobile devices
– Visual landmark localization
– Active vision and mobile/body-worn cameras
– Position discovery and middleware apps

=> Smart image sensors and vision chips
– Circuits and systems for image sensing
– Parallel processing hard ware
– Camera beyond visual spectrum
– HW/S W codesign for embedded vision
– Reconfigurable vision processing architectures
– High-performance image sensors
– Neuromorphic cameras and networks

=> Machine learning in distributed camera networks
– Deep learning on smart cameras
– Transforming embedded vision through deep learning
– Distributed learning algorithms in visual sensor networks
– Novel machine learning technology implementation on smart cameras
– Machine learning for low-powered sensors
– Artificial intelligence and deep learning at the edge

=> Distributed smart cameras and network architectures
– Camera system designs and architectures
– Architectures for camera networks
– Embedded vision programming
– Distributed video coding
– Self-reconfiguring camera networks
– Self-organizing smart cameras
– Wireless and mobile image sensor network s
– Context-aware networks
– Distributed video analytics
– Resource management and task allocation
– Data aggregation and information fusion
– Collaborative object recognition and extraction

=> Emerging applications
– Process splitting in camera vs cloud
– Virtual reality and augmented reality
– Smart cameras and semantic information
– Smart cities and smart cameras
– Camera- based health and wellness monitoring   
– AI and video analytics for smart cameras
– Social media and big data
– Smart cameras for situational intelligence and interaction

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Submission
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Submission site is open, and accessible at: https://cmt3.research.microsoft.com/DSC2021

Each paper will be reviewed by at least two members of the scientific Program Committee, in double-blind fashion. The submitted papers should present original work, not currently under review elsewhere and should have no substantial overlap with already published work. Submissions should be submitted in PDF and should be no more than 8 pages following the ICCV main Conference paper format and guidelines (https://iwdsc.github.io/submissions/).

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Important Dates
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Paper Submission Deadline: July 17, 2021 (11:59PM Pacific Time)
Paper Submission Deadline for main conference rejected papers (*): July 28, 2021 (11:59PM Pacific Time)
Reviews Released to Authors: August 11, 2021 (11:59PM Pacific Time)
Camera ready due: August 16, 2021 (11:59PM Pacific Time)
(*) In case of rejection from ICCV, authors can submit their work to the workshop. Authors should address all ICCV reviewers’ comments in the submitted paper and submit the ICCV reviews as supplementary material.

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Proceedings and Special Issue 
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Accepted papers will be published within the ICCV Workshop Proceedings. Authors of high quality papers will be invited to extend their work and submit it for a special issue in a JCR-indexed journal.

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Oranizing Team
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Niki Martinel, University of Udine, Italy
Ehsan Adeli, Stanford University, USA
Caifeng Shan, Shandong University of Science and Technology, China
Anima Anandkuma, Caltech/NVidia, USA
Yue Gao, Tsinghua University, China
Hamid Aghajan, Gent University, Belgium
Christian Micheloni, University of Udine, Italy
Fei-Fei Li, Stanford University, USA

Invitation to Summer School on Situation Awareness in Cognitive Technologies (ISACT2021) in Magdeburg

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Special issue on Advances in Machine Learning and AI for Intelligent Control and Optimization – Call for Papers

CALL FOR PAPERS

Special issue of the IFAC/Elsevier Journal Engineering Applications of Artificial Intelligence

Prospective authors are invited to submit their original unpublished manuscripts for consideration for a special issue of the IFAC journal Engineering Applications of Artificial Intelligence, organised by the IFAC Technical Committee on Computational Intelligence and Control. The theme of the special issue is Advances in Machine Learning and AI for Intelligent Control and Optimisation.

The constantly increasing availability of data, the rapid expansion in computational and storage capacities of IT systems, and algorithmic advances in Machine Learning, AI and Intelligent Control, are beginning to have a huge impact in many areas of science and engineering.  These technologies have the potential to transform many sectors of our society, from healthcare to manufacturing. However, many challenges remain that are limiting their wide scale adoption, from dealing with data quality and volume issues to achieving scalable and robust solutions. This special issue invites contributions that address these challenges and/or showcase the latest real-world applications and enabling algorithmic advancements of Machine Learning and Intelligent Control.  Comprehensive tutorial and survey papers are also welcome.

We invite novel contributions that are based on (but not limited to) the following topics as they pertain to system identification, intelligent control, and optimisation of dynamical systems.

–    Parsimonious and robust machine learning approaches
–    Deep learning, transfer learning and adaption
–    Machine learning approaches for sequence learning tasks
–    Soft computing (Fuzzy logic, Neural Networks, Evolutionary Algorithms, …)
–    Reinforcement learning
–    Computer vision

Application areas include autonomous vehicles, robotic systems, human-machine collaboration, industry 4.0, smart grids, agriculture, environmental systems, biomedical systems and assisted living technologies.

Prospective authors are asked to notify the guest editors of their intention to submit a paper to the special issue by sending the title and a 200-word abstract to Seán McLoone (s.mcloone@qub.ac.uk), to confirm the suitability of their contribution for the special issue and to receive submission instructions.

Deadline for full paper submission: 31 October 2021

Guest editors
Seán McLoone, Queen’s University Belfast, Northern Ireland, s.mcloone@qub.ac.uk
Kevin Guelton, University of Reims Champagne Ardenne, France, kevin.guelton@univ-reims.fr
Thierry Guerra, University of Valenciennes and Hainaut-Cambresis, France, guerra@uphf.fr
Gian Antonio Susto, University of Padova, Italy, gianantonio.susto@unipd.it
Juš Kocijan, Jožef Stefan Institute and University of Nova Gorica, Slovenia, jus.kocijan@ijs.si
Diego Romeres, Mitsubishi Electric Research Laboratories, USA, romeres@merl.com


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Andrew
ROBOTIS Technical Support / Customer Support
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ICCV 2021 Workshop on Computer Vision in Human Robot Collaboration (CVinHRC) – deadline extended to 23/7

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