CfP SIVA’23 workshop on Socially Interactive Human-like Virtual Agents

July 28th, 2022 Daniela Lopez de Luise
Workshop on Socially Interactive Human-like Virtual Agents

Submission:  https://cmt3.research.microsoft.com/SIVA2023
SIVA'23 workshop: January, 4 or 5 2023, Waikoloa, Hawaii, https://www.stms-lab.fr/agenda/siva/detail/
FG 2023 conference: January 4-8 2023, Waikoloa, Hawaii, https://fg2023.ieee-biometrics.org/

OVERVIEW

Due to the rapid growth of virtual, augmented, and hybrid reality together with spectacular advances in artificial intelligence, the ultra-realistic generation and animation of digital humans with human-like behaviors is becoming a massive topic of interest. This complex endeavor requires modeling several elements of human behavior including the natural coordination of multimodal behaviors including text, speech, face, and body, plus the contextualization of behavior in response to interlocutors of different cultures and motivations. Thus, challenges in this topic are two folds—the generation and animation of coherent multimodal behaviors, and modeling the expressivity and contextualization of the virtual agent with respect to human behavior, plus understanding and modeling virtual agent behavior adaptation to increase human’s engagement. The aim of this workshop is to connect traditionally distinct communities (e.g., speech, vision, cognitive neurosciences, social psychology) to elaborate and discuss the future of human interaction with human-like virtual agents. We expect contributions from the fields of signal processing, speech and vision, machine learning and artificial intelligence, perceptual studies, and cognitive and neuroscience. Topics will range from multimodal generative modeling of virtual agent behaviors, and speech-to-face and posture 2D and 3D animation, to original research topics including style, expressivity, and context-aware animation of virtual agents. Moreover, the availability of controllable real-time virtual agent models can be used as state-of-the-art experimental stimuli and confederates to design novel, groundbreaking experiments to advance understanding of social cognition in humans. Finally, these virtual humans can be used to create virtual environments for medical purposes including rehabilitation and training.

SCOPE

Topics of interest include but are not limited to:

+ Analysis of Multimodal Human-like Behavior
– Analyzing and understanding of human multimodal behavior (speech, gesture, face)
– Creating datasets for the study and modeling of human multimodal behavior
– Coordination and synchronization of human multimodal behavior
– Analysis of style and expressivity in human multimodal behavior
– Cultural variability of social multimodal behavior

+ Modeling and Generation of Multimodal Human-like Behavior
– Multimodal generation of human-like behavior (speech, gesture, face)
– Face and gesture generation driven by text and speech
– Context-aware generation of multimodal human-like behavior
– Modeling of style and expressivity for the generation of multimodal behavior
– Modeling paralinguistic cues for multimodal behavior generation
– Few-shots or zero-shot transfer of style and expressivity
– Slightly-supervised adaptation of multimodal behavior to context

+ Psychology and Cognition of of Multimodal Human-like Behavior
– Cognition of deep fakes and ultra-realistic digital manipulation of human-like behavior
– Social agents/robots as tools for capturing, measuring and understanding multimodal behavior (speech, gesture, face)
– Neuroscience and social cognition of real humans using virtual agents and physical robots

IMPORTANT DATES

Submission Deadline September, 12 2022 
Notification of Acceptance: October, 15 2022 
Camera-ready deadline: October, 31 2022
Workshop: January, 4 or 5 2023

VENUE

The SIVA workshop is organized as a satellite workshop of the IEEE International Conference on Automatic Face and Gesture Recognition 2023. The workshop will be collocated with the FG 2023 and WACV 2023 conferences at the Waikoloa Beach Marriott Resort, Hawaii, USA.

ADDITIONAL INFORMATION AND SUBMISSION DETAILS

Submissions must be original and not published or submitted elsewhere.  Short papers of 3 pages excluding references encourage submissions of early research in original emerging fields. Long paper of 6 to 8 pages excluding references promote the presentation of strongly original contributions, positional or survey papers. The manuscript should be formatted according to the Word or Latex template provided on the workshop website.  All submissions will be reviewed by 3 reviewers. The reviewing process will be single-blinded. Authors will be asked to disclose possible conflict of interests, such as cooperation in the previous two years. Moreover, care will be taken to avoid reviewers from the same institution as the authors.  Authors should submit their articles in a single pdf file in the submission website – no later than September, 12 2022. Notification of acceptance will be sent by October, 15 2022, and the camera-ready version of the papers revised according to the reviewers comments should be submitted by October, 31 2022. Accepted papers will be published in the proceedings of the FG'2023 conference. More information can be found on the SIVA website.

DIVERSITY, EQUALITY, AND INCLUSION

The format of this workshop will be hybrid online and onsite. This format proposes format of scientific exchanges in order to satisfy travel restrictions and COVID sanitary precautions, to promote inclusion in the research community (travel costs are high, online presentations will encourage research contributions from geographical regions which would normally be excluded), and to consider ecological issues (e.g., CO2 footprint). The organizing committee is committed to paying attention to equality, diversity, and inclusivity in consideration of invited speakers. This effort starts from the organizing committee and the invited speakers to the program committee.

ORGANIZING COMMITTEE
🌸 Nicolas Obin, STMS Lab (Ircam, CNRS, Sorbonne Université, ministère de la Culture)
🌸 Ryo Ishii, NTT Human Informatics Laboratories
🌸 Rachael E. Jack, University of Glasgow
🌸 Louis-Philippe Morency, Carnegie Mellon University
🌸 Catherine Pelachaud, CNRS – ISIR, Sorbonne Université

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Face Recognition Under Turbulence and Environment Impacted Drone Surveillance (FRDrone 2023 Workshop) || IEEE F&G 2023

July 28th, 2022 Daniela Lopez de Luise

Face recognition has received a lot of attention due to surveillance needed across various security platforms ranging from border control to e-payments to secure office access. However, in the large crowd gathering in festivals or gaming events, identification of any possible suspects involving any avoidable mishappenings highly depends on facial information. The information might not be effectively captured using the traditional surveillance cameras due to their significant distance from the gathering event locations. For that, the use of drone sensors is an ideal solution. However, the acquired images generally suffer from poor quality. One probable reason for that is the effect of environmental factors such as turbulence. In this workshop coupled with the challenge session (accepted with the same title), we want to make the first step towards unconstrained surveillance using face recognition. The challenge and session will not only help the development of novel algorithms needed to improve face recognition performance but also disseminate the knowledge to the audience towards the possible future directions for real-world face recognition systems.

Face recognition in drone-shot videos has applicability in scenarios such as identifying individuals stuck at remote locations or in crowded places monitored via a drone. Recently, IARPA’s Biometric Recognition and Identification at Altitude and Range (BRIAR) program [1] also emphasizes the challenging problem of identifying individuals from long-range at elevated platforms. In brief, the goal of the workshop is to advance face recognition in challenging drone surveillance settings. The scope of the workshop includes but is not limited to the following topics:

  • Low-Resolution face recognition
  • Drone face super-resolution
  • Face detection in low-resolution drone images
  • Understanding the turbulence and environmental impact of drone face recognition
  • Vision transformer for drone face recognition
  • Neural architecture search for low-resolution face recognition
  • Active Domain Generalization for drone face recognition
  • AutoML
  • Semi-supervised learning for drone face recognition

 

Important Dates

  • Workshop paper submission deadline: September 20, 2022
  • Notification to authors: October 20, 2022
  • Camera-ready deadline: October 30, 2022

 

Submission details will be released soon. Each paper needs to follow the official guidelines including the submission template (http://fg2023.ieee-biometrics.org/participate/submission)

Website: http://iab-rubric.org/FG2023_workshop/workshop.html 

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IET – CVI Special Issue – Spectral Imaging Powered Computer Vision | Call for Papers | December 31, 2022

July 28th, 2022 Daniela Lopez de Luise
CALL FOR PAPERS
 
IET Computer Vision

Special Issue on:
Spectral Imaging Powered Computer Vision

PDF: https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519640/Special%20Issues/IET_CVI_CfP_SIPCV-1639158159110.pdf

AIMS AND SCOPE

Recent advances in spectral imaging technology make it more convenient and affordable to capture data within and beyond the visual spectrum. They enable computers and AI agents to better observe, understand and interact with the world. Efforts in this area also lead to the construction of new datasets in different modalities such as infrared, ultraviolet, fluorescent, multispectral, and hyperspectral, bringing new opportunities to computer vision research and applications.

Extensive research has been undertaken during the past few years to process, learn and use data captured by spectral imaging technology. Nevertheless, many challenges remain unsolved in computer vision, for example, low-quality image, sparse input, the high dimensionality of data, high cost of data labelling, and lack of methods to analyse and use data in the context of their unique properties. In many mid-level and high-level computer vision tasks, such as object segmentation, detection and recognition, image retrieval and classification, video tracking and understanding, methods that can effectively explore the advantages of spectral information are yet to be developed. Moreover, effective data fusion in different modalities to develop a robust vision system is still an open problem. New computer vision methods and applications are urgently needed to advance this research area.

The goal of this special issue is to provide a forum for researchers, developers, and users in the broad artificial intelligence community to present their novel and original computer vision research powered by spectral imaging technology. Survey papers addressing relevant topics are also welcome.

Topics of interest include, but are not limited to:

Spectral imaging process
–  Spectral image/video enhancement and reconstruction
–  Object detection and recognition
–  Image retrieval and classification
–  Motion and tracking
–  Visual Localisation and navigation
–  3D reconstruction
–  Video analysis and understanding
– Representation learning, weakly-supervised learning, and contrastive learning of spectral data
– Domain adaption
– Multimodal learning, registration, and fusion
– Large-scale datasets and benchmarking
– Applications in biometrics, medicine, document processing, autonomous driving, and robotic vision
– New applications of spectral imaging

IMPORTANT DATES
Submission Deadline: December 31, 2022
Publication Date: August, 2023

GUEST EDITORS

– Jun Zhou
– Pedram Ghamisi
– Naoto Yokoya
– Fengchao Xiong
– Lei Tong

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Workshop on Social and Cognitive Interactions for Assistive Robotics (SCIAR) @IROS2022

July 28th, 2022 Daniela Lopez de Luise

Call for Papers – SCIAR@IROS2022

Please distribute this call to interested parties

 

Workshop on Social and Cognitive Interactions

for Assistive Robotics (SCIAR)

In conjunction with

The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

https://sciar-workshop.github.io/

SCIAR is dedicated to developing computational approaches for natural and social human-robot interaction for Assistive Robotics Technology. We are calling for innovative research ideas, novel theories and models related to social assistive robotics, cutting-edge computational methods including either traditional statistical methods or deep-learning-based methods, as well as new simulation tools, datasets, benchmarks and evaluation protocols.

 

The attention is given to cognitive interaction analysis that features the interpretation of human interactions, with a particular emphasis on the nonverbal signals, in order to facilitate a more natural and social interaction. We also welcome research that focuses on the decision making and the physical interactions that can potentially benefit from the understanding of cognitive interactions between the human and robot.

 

The list of topics addressed in the workshop are listed below, but not limited to:

 

·        Recognition of individual’s and/or social group’s activity for social (assistive) robots

·        (Real-time) recognition of human social signals, e.g., gaze, gesture, vocal activity, etc.

·        Inference of human intentions for social (assistive) robots

·        Mechanisms of social cognition (joint attention, spatial perspective taking, action prediction, theory of mind) in human-robot interaction

·        Cognitive architectures for assistive social robots

·        Affective human-robot interaction (individuals, dyads and groups)

·        Developing emotion-aware and/or personality-aware robots

·        Interactive/active learning for social robotics

·        Transfer learning, meta-learning, reinforcement learning and learning from demonstration for human-robot social interactions

·        Multi-sensor fusion for social (assistive) robots

·        Human-robot engagement prediction

·        Applications of human- socially assistive robot interactions (e.g. for health, education, entertainment, business)

·        Ambient assisted living

·        Human robot interactions and cognitive impairments

·        Social acceptance of robots based on human nonverbal behavioral cues (e.g., eye gaze, facial expressions, group formations)

·        Interactional synchrony between human and social robots

·        Human-robot interaction styles

·        Robot navigation problem in social interaction scenarios (e.g., adaptive planning)

 

Invited Speakers:

Dr. Alessandra Sciutti, Istituto Italiano di Tecnologia (IIT), IT

Prof. Andrea Cavallaro, Queen Mary University of London, UK

Prof. Bilge Mutlu, University of Wisconsin-Madison, USA

Prof. Ginevra Castellano, Uppsala University, SE

Dr. Hae Won Park, Massachusetts Institute of Technology (MIT), USA

Prof. Hatice Gunes, University of Cambridge, UK

Prof. Yiannis Demiris, Imperial College London, UK

 

Submission Guidelines:

For submission details please visit: https://sciar-workshop.github.io/contributions/


Important Dates:

Workshop submission deadline: September 5th

Workshop author notification:  September 26th

Finalized workshop program: October 3rd

 

Organizers:

Cigdem Beyan, University of Trento, Italy

Yiming Wang, Fondazione Bruno Kessler, Italy

Fei Chen, The Chinese University of Hong Kong, Hong Kong

Séverin Lemaignan, PAL Robotics, Spain

Elisa Ricci, University of Trento, Fondazione Bruno Kessler, Italy

 

Looking forward to your submission!

–

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Invitation to join 2022 Summer ‘Programming short course and workshop on Deep Learning and Computer Vision’, 24-26th August 2022

July 28th, 2022 Daniela Lopez de Luise

Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,

 

you are welcomed to register in the  CVML e-course on ‘Programming short course and workshop on Deep Learning and Computer Vision’,  24-26th August 2022:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/

 

It will take place as a three-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures and programming workshops delivered through a tele-education platform (Zoom). Its focus is on upgrading your programming skills in various Deep Learning and Computer Vision topics. You will be provided programming exercises in Python, CUDA, PyTorch, OpenCV etc to this end. Application focus will be in Digital Media. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace.  You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).

 

This course is part of the very successful CVML programming short course and workshop series that took place in the last four years.

 

Course description ‘Programming short course and workshop on Deep Learning and Computer Vision’

The programming short course and workshop e-course consists of 16 1-hour live lectures & workshops organized in two Parts (1 Part per day):

Part A will focus on Deep Learning and GPU programming.

Part B lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking.

Part C lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools.

 

Course lectures and programming workshops

Part A (8 hours), Deep Learning and GPU programming

Deep neural networks. Convolutional NNs.

Parallel GPU and multi-core CPU architectures – GPU programming

Image classification with CNNs.

CUDA programming

Part B (8 hours), Deep Learning for Computer Vision

Deep learning for object/face detection.

2D object tracking.

PyTorch: Understand the core functionalities of an object detector. Training and deployment.

OpenCV programming for object tracking.

Part C (8 hours), Autonomous UAV cinematography

Video summarization.

UAV cinematography.

Video summarization with Pytorch.

Drone cinematography with Airsim.

 

You can use the following link for course registration:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker.  He is the coordinator of the EC funded International AI Doctoral Academy (AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+.

 

Relevant links:

1) Prof. I. Pitas:

https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el

2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/

3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/

4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/

5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/

6) AIIA Lab: https://aiia.csd.auth.gr/

 

Sincerely yours

Prof. I. Pitas

Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)

Aristotle University of Thessaloniki, Greece

 

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