CAIS Automated and Intelligent Systems, Oct 3-6, OKC, USA

June 22nd, 2022 Daniela Lopez de Luise
2022 OkIP International Conference on Automated and Intelligent Systems (CAIS)
Downtown Oklahoma City, OK, USA & Online
October 3-6, 2022
Submission Deadline: July 11, 2022
CAIS aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies.
CAIS will include a peer-reviewed technical, industrial, and poster sessions program. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journal publication.
>> AI, Machine Learning (ML), and Applications
– General ML | Active/Supervised Learning
– Clustering/Unsupervised Learning
– Online Learning | Learning to rank 
– Reinforcement Learning | Deep Learning(DL)
– Semi/Self Supervised Learning
– Time Series Analysis | Prediction/Forecasting
– DL Architectures/Generative-Models 
– Deep Reinforcement Learning
– Computational Learning Theory
– Bandit/Game/Statistical-Learning Theory
– Optimization Methods and Techniques
– Convex/Non-Convex Optimization
– Matrix/Tensor Methods
– Stochastic/Online Optimizations
– Non-Smooth/Composite Optimization
– Probabilistic Inference | Graphical Models
– Bayesian/Monte-Carlo Methods
– Trustworthy Machine Learning
– ML Accountability/Causality
– ML Fairness/Privacy/Robustness
– Healthcare/DNA/Transportation
– Digital Economy | Ecommerce Security
– Sustainability | Energy | Green Technology
– Language | Image  
– Recommendation Systems
>> Agent-based, Automated, and Distributed Supports
– Multi-Agent Systems | Software Agents
– Decentralized/Distributed Intelligence
– Context-Aware Computing
– Group Decision Support Systems
– Intelligent Structures/Networks
– Design/Automation Approaches
– Sensor Networks Architectures
– Complex Manufacturing Processes
– Analytical Models | Path Planning
– Multistage Assembly Line
– Automated Inspection
>> Intelligent Systems and Applications
– Medical Nanorobotics | 
– Sensory/Embedded Systems
– Embedded Systems | Digital Manufacturing
– Optimization/Evolutionary Algorithms
– Bioinformatics/Biotechnology Applications
– Computer-Vision Applications
– Sensor-Networks Applications
– Intelligent Design | Fuzzy Systems
– Soft/Ubiquitous Computing
– Pervasive/Wearable Computing
– Intelligence Manufacturing | Microsatellite
– Cyber-physical Systems | Kinematics
>> Knowledge-based and Control Supports
– Expert/Complex Systems
– Decision-Support Systems
– Intelligent Control/Supervision Systems
– Knowledge Engineering
– Neural Networks  | Structural Optimization
– Intelligent Teleoperation
– Intelligent Shopfloor
– Collision Avoidance | Fault Diagnosis
– Object Detection and Tracking | Path Planning
– Position/Quality/Motion Control
– Predictive Control
– Preventive Maintenance | Defect Detection
>> Robotics and Vehicles
– Unmanned Vehicles/Robots
– Autonomous Vehicles/Robots
– Human-Robot Interfaces
– Human-Robot Interactions
– Intelligent Telerobotics | Service Robots
– Robotic Manipulators/Arms
– Robotic Applications
– Self-Driving Vehicles | Cloud-based Driving
– Vehicular ad hoc Networks |Traffic Detection
– Vehicle-to-Vehicle Communication
– Vehicle Platooning | Steering Systems
– Vehicle dynamics | Traffic Computing
>> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed
– Full Paper: Accomplished research results (10 pages)
– Short Paper: Work in progress/fresh developments (6 pages)
– Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages)
>> Important Dates:
– Submission Deadline: July 11, 2022
– Notification Due: August 01, 2022
– Camera-ready Due:  August 22, 2022
>> Technical Program Committee
Please feel free to contact us for any inquiries at: info@okipublishing.com
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CFP PE-WASUN2022

June 22nd, 2022 Daniela Lopez de Luise

NOTE:  Extended versions of selected best papers will be considered for publication in a Special Issue of Elsevier's Computer Networks journal.

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Deadline Extension – CFP RO-MAN 2022 Workshop on Machine Learning for HRI: Bridging the Gap between Action and Perception

June 22nd, 2022 Daniela Lopez de Luise
DEADLINE EXTENSION

**Apologies for cross-posting**

We are happy to announce that the deadline for submissions has been extended until July 1.

CALL FOR PAPERS

The full-day virtual workshop:

Machine Learning for HRI: Bridging the Gap between Action and Perception (ML-HRI)

In conjunction with the 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) – August 22, 2022   

Webpage: https://ml-hri2022.ivai.onl/

I. Aim and Scope

A key factor for the acceptance of robots as partners in complex and dynamic human-centered environments is their ability to continuously adapt their behavior. This includes learning the most appropriate behavior for each encountered situation based on its specific characteristics as perceived through the robots senors. To determine the correct actions the robot has to take into account prior experiences with the same agents, their current emotional and mental states, as well as their specific characteristics, e.g. personalities and preferences. Since every encountered situation is unique, the appropriate behavior cannot be hard-coded in advance but must be learned over time through interactions. Therefore, artificial agents need to be able to learn continuously what behaviors are most appropriate for certain situations and people based on feedback and observations received from the environment to enable more natural, enjoyful, and effective interactions between humans and robots.

This workshop aims to attract the latest research studies and expertise in human-robot interaction and machine learning at the intersection of rapidly growing communities, including social and cognitive robotics, machine learning, and artificial intelligence, to present novel approaches aiming at integrating and evaluating machine learning in HRI. Furthermore, it will provide a venue to discuss the limitations of the current approaches and future directions towards creating robots that utilize machine learning to improve their interaction with humans.

II. Keynote Speakers and Panelists

  1. Dorsa Sadigh – Stanford University – USA
  2. Oya Celiktutan – King's College London – UK
  3. Sean Andrist – Microsoft – USA
  4. Stefan Wermter – University of Hamburg – Germany

III. Submission

  1. For paper submission, use the following EasyChair web link: Paper Submission.
  2. Use the RO-MAN 2022 format: RO-MAN Papers Templates.
  3. Submitted papers should be 4-6 pages for regular papers and 2 pages for position papers.

    The primary list of topics covers the following points (but not limited to):

  • Autonomous robot behavior adaptation
  • Interactive learning approaches for HRI
  • Continual learning
  • Meta-learning
  • Transfer learning
  • Learning for multi-agent systems
  • User adaptation of interactive learning approaches
  • Architectures, frameworks, and tools for learning in HRI
  • Metrics and evaluation criteria for learning systems in HRI
  • Legal and ethical considerations for real-word deployment of learning approaches

IV. Important Dates

  1. Paper submission: June 17, 2021 July 1, 2022 (AoE)
  2. Notification of acceptance: August 1, 2022 (AoE)
  3. Camera ready: August 14, 2022 (AoE)
  4. Workshop: August 22, 2022

V. Organizers

  1. Oliver Roesler – IVAI – Germany
  2. Elahe Bagheri – IVAI – Germany
  3. Amir Aly – University of Plymouth – UK

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1ST INTERNATIONAL WORKSHOP AND CHALLENGE ON PEOPLE ANALYSIS: FROM FACE, BODY AND FASHION TO 3D VIRTUAL AVATARS at ECCV 2022

June 22nd, 2022 Daniela Lopez de Luise

Call for Papers

1st International Workshop and Challenge on People Analysis: 
From Face, Body and Fashion To 3d Virtual Avatars

International Workshop at ECCV 2022

(1st Edition)
https://sites.google.com/view/wcpa2022/ 

********************************

 

WORKSHOP

Submission paper deadline
July 10th, 2022
(11.59 p.m. AoE)

 

CHALLENGE

Track1: Multi-View Based 3D Human Body Reconstruction

Track2: Perspective Projection Based Monocular 3D Face Reconstruction

Registration deadline: June 30, 2022

 

Apologies for multiple posting

Please distribute this call to interested parties

AIMS AND SCOPE

===============

Human-centered data are extremely widespread and have been intensely investigated by researchers belonging to even very different fields, including Computer Vision, Machine Learning, and Artificial Intelligence. These research efforts are motivated by the several highly-informative aspects of humans that can be investigated, ranging from corporal elements (e.g. bodies, faces, hands, anthropometric measurements) to emotions and outward appearance (e.g. human garments and accessories).

The huge amount and the extreme variety of this kind of data make the analysis and the use of learning approaches extremely challenging. In this context, several interesting problems can be addressed, such as the reliable detection and tracking of people, the estimation of the body pose, the development of new human-computer interaction paradigms based on expression and sentiment analysis.

Furthermore, considering the crucial impact of human-centered technologies in many industrial application domains, the demand for accurate models able also to run on mobile and embedded solutions is constantly increasing. For instance, the analysis and manipulation of garments and accessories worn by people can play a crucial role in the fashion business. Also, the human pose estimation can be used to monitor and guarantee the safety between workers and industrial robotic arms.

The goal of this workshop is to improve the communication between researchers and companies and to develop novel ideas that can shape the future of this area, in terms of motivations, methodologies, prospective trends, and potential industrial applications. Finally, a consideration about the privacy issues behind the acquisition and the use of human-centered data must be addressed for both the academia and companies.

TOPICS

=======

The topics of interest include but are not limited to:

  • Human Body

    • People Detection and Tracking

    • 2D/3D Human Pose Estimation

    • Action and Gesture Recognition

    • Anthropometric Measurements Estimation

    • Gait Analysis

    • Person Re-identification

    • 3D Body Reconstruction

  • Human Face

    • Facial Landmarks Detection

    • Head Pose Estimation

    • Facial Expression and Emotion Recognition

  • Outward Appearance and Fashion

    • Garment-based Virtual Try-On

    • Human-centered Image and Video Synthesis

    • Generative Clothing

    • Human Clothing and Attribute Recognition

    • Fashion Image Manipulation

    • Outfit Recommendation

  • Human-centered Data

    • Novel Datasets with Human Data

    • Fairness and Biases in Human Analysis

    • Privacy Preserving and Data Anonymization

    • First Person Vision for Human Behavior Understanding

    • Multimodal Data Fusion for Human Analysis 

    • Computational Issues in Human Analysis Architectures

  • Biometrics

    • Face Recognition and Verification

    • Fingerprint and Iris Recognition

    • Morphing Attack Detection

IMPORTANT DATES

=================

  • Paper Submission Deadline: July 10th, 2022 (11.59 p.m. AoE)

  • Decision to Authors: August 10th, 2022

  • Camera ready papers due: August 22nd, 2022

SUBMISSION GUIDELINES

======================

All the papers should be submitted at: https://cmt3.research.microsoft.com/WCPA2022 

All papers will be reviewed by at least two reviewers with double-blind peer-review policy. Accepted submissions will be published in the ECCV 2022 Workshops proceedings.

Papers must be prepared according to the ECCV guidelines. Papers are limited to 14 pages, including figures and tables, in the ECCV style. Additional pages containing only cited references are allowed. 

Papers that are not properly anonymized, or do not use the template, or have more than 14 pages (excluding references) will be rejected without review.

Note also that the template has changed since ECCV 2020. We therefore strongly urge authors to use this new template instead of templates from older conferences.

WORKSHOP MODALITY

====================

The workshop will be held in conjunction with the European Conference on Computer Vision (ECCV 2022). The workshop will take place in an entirely virtual mode.

WORKSHOP ORGANIZERS

=======================

  • Alberto del Bimbo, University of Florence, Italy

  • Mohamed Daoudi, IMT Lille Douai, France

  • Roberto Vezzani, University of Modena and Reggio Emilia, Italy

  • Xavier Alameda-Pineda, INRIA Grenoble, France

  • Guido Borghi, University of Bologna, Italy

  • Marcella Cornia, University of Modena and Reggio Emilia, Italy

  • Claudio Ferrari, University of Parma, Italy

  • Federico Becattini, University of Florence, Italy

  • Andrea Pilzer, NVIDIA, Italy

CHALLENGE ORGANIZERS

=======================

  • Zhiwen Chen, Alibaba Group, China

  • Xiangyu Zhu, Institute of Automation, Chinese Academy of Sciences, China

  • Ye Pan, Shanghai Jiao Tong University, China

  • Xiaoming Liu, Michigan State University, USA


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AIDA Short Course: “Machine learning for video summarization”, 28/06/2022

June 22nd, 2022 Daniela Lopez de Luise

Course title: Machine learning for video summarization

 

Lecturer name & affiliation: Dr. Ioannis Mademlis, imademlis@csd.auth.gr, Aristotle University of Thessaloniki, Artificial Intelligence and Information Analysis Laboratory (AIIA)

 

Host Institution: Aristotle University of Thessaloniki

 

Content and organization: Video summarization is the problem of automatically selecting important key-shots and/or key-frames from an input video, in order to construct a brief summary of the original sequence, capturing its essential content. Both supervised and unsupervised machine learning methods have been employed for solving video summarization tasks, ranging from simple video frame clustering to sophisticated deep learning approaches. It is a task of immense practical importance to media and WWW professionals, since it allows them (or remote users) to browse through endless hours of filmed footage without having to actually watch the entire content. Video summarization is highly significant in automation solutions for TV/movie production, video surveillance, sports coverage, media archiving, etc. This short course will present the various types of video summaries and the most important families of learning algorithms that been developed over the years to tackle video summarization, focusing on the prominent problem of key-frame extraction. The short course is composed of two consecutive 2.5-hour lectures, covering pre-deep learning and purely neural methods, respectively. A 30-minute coffee break will intercede between them.

 

Level: Postgraduate

 

Course Duration: 5 hours

 

Course Type: Short Course

 

Participation terms: Free to anyone. Both AIDA and non-AIDA students are encouraged to participate in this short course.

If you are an AIDA Student* already, please:

Step (a): Register in the course by inserting your details into the relevant Google form.

 

AND

Step (b): Enroll in the same course in the AIDA system using the “Enroll on this Course” button in the AIDA website, so that this course enters your AIDA Certificate of Course Attendance.

 

If you are not an AIDA Student do only step (a).

 

*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members)

 

Lectures plan: From 16:00 to 21:30 CET

 

Proposed schedule: 28 June 2022

 

Language: English

 

Modality: Fully on-line via Zoom.

 

Notes: Only attendance of the lectures is foreseen (no exams).

 

More Infos: http://icarus.csd.auth.gr/machine-learning-for-video-summarization/

 

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