IJCAI workshop: MiGA 2023

May 5th, 2023 Daniela Lopez de Luise

Welcome to participate in the 1st Workshop & Challenge on Micro-gesture Analysis for Hidden Emotion understanding (MiGA) workshop.

Our MiGA workshop will be held at the IJCAI conference on 19th-23th August, Maco, China! 

We warmly invite researchers to submit your recent research work to our MiGA workshop. 

Accepted papers will be published at the IJCAI conference in 2023, which is the leading conference in the field of artificial intelligence.

The topic includes but is not limited to:

• Gesture and micro-gesture analysis for emotion understanding.

• Vision-based methodologies for gesture-based emotion understanding, e.g., classification, detection, online recognition, generation, and transferring.

• Solutions for special challenges involved with the in-the-wild gesture analysis, e.g., severely imbalanced sample distribution, high heterogeneous samples of interclass, noisy irrelevant motions, noisy backgrounds, etc.

• Different modalities developed for emotion understanding, e.g., body gestures, attentive gazes, and desensitized voices.

• New data collected for the purpose of hidden emotion understanding.

• Psychological study and neuroscience research about various body behaviors and their links to emotions.

• Hardware/apparatuses/imaging systems developed for the purpose of hidden emotion understanding.

• Applications of gestures and micro-gestures, e.g., for medical assessment in hospitals (ADHD, depression), for health surveillance at home or in other environments, for emotion assessment in various scenarios like for education, job interview, etc.


We are looking forward to interesting presentations, insightful discussions, and new collaborations!

Besides, we are hosting the first MiGA challenge!

Welcome to join our challenge with two fundamental challenge tasks (Tracks), including (Track 1) micro-gesture classification and (Track 2) micro-gesture online recognition. Participating teams can choose to compete on one or both tasks. The challenge will be organized on the CodaLab website.

If you are interested in submitting a paper or joining the challenge, please visit our website below for more information on guidelines and deadlines:


https://cv-ac.github.io/MiGA2023/

Important timeline (might adjust slightly later):

Workshop

May 25, 2023. Paper submission deadline.
June 05, 2023. Notification to authors.
June 10, 2023. Camera-ready deadline.
August 2023. MiGA IJCAI 2023 Workshop, Macao, China.
Challenge
Mar 27, 2023. Call for Challenge online. Registration starts.
Mar 31, 2023. Release of training data.
May 2, 2023. Release of testing data.
May 12, 2023. Final testing data and result submission. Registration ends.
May 15, 2023. Release of challenge results.
May 25, 2023. Paper submission deadline (to workshop).
June 05, 2023. Notification to authors.
June 10, 2023. Camera-ready deadline.

August 2023. MiGA IJCAI 2023 Workshop, Macao, China.
Note: Each paper must be presented on-site by an Author/co-Author at the conference. Make sure you can be present at the IJCAI conference before your submission.

For questions regarding workshop submissions and the competition, please get in touch with chen.haoyu at oulu.fi.
For questions about the workshop local arrangements and information, please get in touch with local at ijcai-23.org.

For questions regarding the general issue of the workshop program, please get in touch with guoying.zhao at oulu.fi.

Sincerely,

MiGA Committee
Organizing Committee
Guoying Zhao, University of Oulu, Finland.
Björn W. Schuller, University of Augsburg, Germany; Imperial College London, London/UK.
Ehsan Adeli, Stanford University, USA.
Tingshao Zhu, Institute of Psychology, Chinese Academy of Sciences.
Data chairs
Haoyu Chen (leading data chair), University of Oulu, Finland.
Henglin Shi, University of Oulu, Finland.
Xin Liu, Lappeenranta-Lahti University of Technology LUT, Finland.

Xiaobai Li, University of Oulu, Finland.

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CFP_8th International Workshop on Multimedia Assisted Dietary Management (MADiMa), Ottawa, Canada, October-November 2023

May 5th, 2023 Daniela Lopez de Luise

We are really happy to announce the 8th International Workshop on Multimedia Assisted Dietary Management (MADiMa2023) in conjunction with the 31st ACM International Conference in Multimedia (ACMM2023).

 

The workshop will take place between October 29th-November 3rd, 2023, in Ottawa, Canada. Below, you can find the 1st call for papers. More details are available at our website (www.madima.org).

 

We are truly looking forward to your participation.

 

Best regards and see you in Ottawa,

 

Stavroula Mougiakakou

Keiji Yanai

Dario Allegra

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

 

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Call For Papers (apologies for multiple copies)   

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

 

The 8th International Workshop on Multimedia Assisted Dietary Management (MADiMa2023) is organized in conjunction with the 31st ACM International Conference in Multimedia (ACMM2023).

 

Website: www.madima.org

Place: Ottawa, Canada

Date: October 29th-November 3rd, 2023

Submission Deadline: 21st July 2023

 

RATIONALE

=========

The prevention of onset and progression of diet-related acute and chronic diseases requires reliable and intuitive dietary management. The need for accurate, automatic, real-time, and personalized dietary advice has been recently complemented by the advances in AI, computer vision, wearable, and smartphone technologies, permitting the development of the first mobile food multimedia content analysis applications. The proposed solutions rely on the analysis of multimedia content captured by wearable sensors, smartphone cameras, barcode scanners, RFID readers and IR sensors, along with already established nutritional and recipe databases and often require some user input. In the field of nutritional management, multimedia not only bridges diverse information and communication technologies, but also computer science with medicine, nutrition, and dietetics. This confluence brings new challenges and opportunities on dietary monitoring, assessment, and management.

 

SCOPE

=====

The main scope of MADiMa2023 is to bring together researchers from the diverse fields of engineering, computer science and nutrition who investigate the use of information and communication technologies for better monitoring, assessment, and management of food intake. The combined use of multimedia, machine learning algorithms, ubiquitous computing and mobile technologies permits the development of applications and systems able to monitor the dietary behavior, analyze food intake, identify eating patterns, and provide feedback to the user towards healthier nutrition. The researchers will present and demonstrate their latest progress and discuss novel ideas in the field. Besides the technologies used, emphasis will be given to the precise problem definition, the available nutritional databases, the need for benchmarking multimedia databases of packed and unpacked food and the evaluation protocols.

 

TOPICS

======

Topics of interest include (but are not limited to) the following:

– Ubiquitous and mobile computing for dietary assessment

– Computer vision for food detection, segmentation, and recognition

– Deep learning for food analysis

– 3D reconstruction for food portion estimation

– Augmented reality for food portion estimation

– Wearable sensors for food intake detection

– Computerized food composition (nutrients, allergens) analysis

– Multimedia technologies for eating monitoring

– Food image analysis and social media

– Smartphone technologies for dietary behavioral patterns

– Food multimedia databases

– Evaluation protocols of dietary management systems

– Multimedia assisted self-management of health and disease

– ICT technologies for tackling mal- and undernutrition

– Dietary monitoring systems for Low- and Middle-Income Country (LMIC) settings

– Vision techniques for food quality check

– ICT for personalization of dietary advice

– Personalized dietary recommendation systems

 

IMPORTANT DATES

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

– Paper submission deadline: July 21st, 2023

– Notification of acceptance: July 8th, 2023

– Camera ready deadline: August 12th, 2023

 

WORKSHOP CHAIRS

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

– Stavroula Mougiakakou, University of Bern, Switzerland

– Keiji Yanai, The University of Electro-Communications, Tokyo, Japan

– Dario Allegra, University of Catania, Italy

 

PROGRAMME COMMITTEE

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

– Lorenzo Brigato, University of Bern, Switzerland

– Lorenzo Catania, University of Catania, Italy

– Jingjing Chen, Fudan University, Shanghai

– Christos Diou, Harokopio University of Athens, Greece

– Ichiro Ide, Nagoya University, Japan

– Ioannis Papathanail, University of Bern, Switzerland

– Raimondo Schettini, University of Milan-Bicocca, Italy

– Yoko Yamakata, University of Tokyo, Japan

 

For more information, please visit the workshop's website at www.madima.org.

 

The workshop chairs,

 

Stavroula Mougiakakou

Keiji Yanai

Dario Allegra

QCAV’2023 – 16th International Conference on Quality Control by Artificial Vision

May 4th, 2023 Daniela Lopez de Luise

Dear colleagues,

Preliminary program of the QCAV'2023 – 16th International Conference on Quality Control by Artificial Vision (Albi, France, 6-8 June 2023) has been published on the conference website:

https://qcav2023.sciencesconf.org/resource/page/id/14

Registration is open until the 22nd of May.

 

Kind regards,

ICCV 2023: Event Detection for Situation Awareness in Autonomous Driving

May 4th, 2023 Daniela Lopez de Luise
We are excited to announce “ROAD++: The Second Workshop & Challenge on Event Detection for Situation Awareness in Autonomous Driving”, in conjunction with the upcoming International Conference on Computer Vision (#ICCV2023).
 
https://lnkd.in/ehg3nP5C

The #workshop aims to bring together researchers and practitioners in the field of #autonomousdriving to present and discuss recent advances in event detection for #situationalawareness.
 
The focus of the event is a ground-breaking competition centered on the detection of road events (triplets formed by #agent, action and location) in a challenging domain adaptation environment.
The challenge will leverage our new ROAD++ benchmark which scales up the road event annotation originally developed for the ROAD #dataset (https://lnkd.in/gsBU5wU) to the Waymo dataset (https://waymo.com/open/), with prizes for the top three entries.

For the paper track we welcome papers reporting original research, case studies, or work-in-progress papers related to the theme of the workshop.

We will award a best paper and a best student paper prize, host spotlight presentations and hold poster sessions for all accepted papers.
 
Topics of interest include, but are not limited to:

– Detection and modelling of 'atomic' road events. 
– Detection and modelling of complex road activities, involving several agents over an extended period of time. 
– Agent intention #prediction . 
– Prediction of the trajectory of pedestrians and vehicles. 
– Forecast of future road events. 
– Multi-agent modelling of road scenes. 
– Realistic simulation for training of perceptual models. 
– Generative #AI for situation awareness.
– Fusion of multi-sensor data for situation awareness.
– Machine theory of mind.
– Continual learning from video streams.
– Domain adaptation.
– Datasets and evaluation metrics and datasets for situation awareness in #autonomousvehicles.
 
Papers are to be submitted using the ICCV template via CMT. The Workshop will allow for the submission of papers concurrently submitted elsewhere, with the aim of aggregating all relevant efforts in this area.

The workshop will host invited speakers of the calibre of Marco Pavone (Stanford), Holger Caesar (TU Delft), Bernard Ghanem (KAUST), Xinshuo Weng (NVIDIA), Raim Al-Rfou and Yin Zhou (Waymo).
 
Workshop timeframe:
 
· Submission site open: May 2
· Paper Submission: July 2
· Acceptance: Aug 7
· Camera-ready: Aug 17
 
Challenge timeframe:
 
·       Registration open: April 24
·       Training and validation data: May 2
·       Test data: July 15
·       Submission deadline: Aug 5
·       Results: Aug 10

Organisers:
Fabio Cuzzolin, Andrew Bradley, Salman Khan, Izzeddin Teeti (Oxford Brookes University)
Gurkirt singh (ETH Zurich)
Eleonora Giunchiglia (TU Wien)
Mihaela Catalina Stoian (University of Oxford)
Reza Javanmard Alitappeh (Mazandaran University)

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XR&AI 2023 – 2nd International Summer School on eXtended Reality and Artificial Intelligence, July 17-22, 2023 – Matera, Italy

May 4th, 2023 Daniela Lopez de Luise

XR&AI – eXtended Reality and Artificial Intelligence – 2nd International Summer School – call for application

Matera, Italy, 17-22 July 2023

LOCATION:

Casa delle Tecnologie Emergenti, Via S. Rocco, 1 Matera

 

MOTIVATION AND DESCRIPTION:

eXtended Reality (XR) is an emerging umbrella term for all the immersive technologies (Virtual Reality, Augmented Reality, and Mixed Reality) able to extend the user senses by blending the virtual and real worlds and creating a fully immersive experience.

Artificial Intelligence (AI) is a broad area of computer science that makes machines seem like they have human intelligence. The goal of AI is to mimic the human brain and create systems that can function intelligently and independently.

AI can enhance XR applications significantly in several ways and the XR&AI Summer School is focused on the synergy of these technologies for applications in cultural and territorial heritage, medicine and industry.

This summer school is suitable for PhD students, post-docs, Masters students, and academic staff, as well as participants from industry who wish to improve their skills in these fields.

 

PROGRAMME:

The programme of this second edition of the school includes theoretical and practical lectures. Both types of lectures are aimed at the development of a project by groups of participants, with the results presented on the last day, and whose main objective is the use of AI tools to improve the development of XR applications in order to reduce the time and effort required to create resources while maintaining a high quality of output. For example, participants will use machine learning algorithms, including deep learning and convolutional neural networks, to generate high-quality assets such as 3D models, textures, animations and sound effects based on user input.

In addition, on the morning of the first day, participants can participate in a 4-hour introductory and levelling tutorial on the tools and technologies used during the school.

 

SPEAKERS OF THEORETICAL LECTURES (confirmed):

Rita Cucchiara, University of Modena and Reggio Emilia, Italy:

     Generative AI: from image to text and return

Joaquim Jorge, University of Lisboa, Portugal:

     Challenges and Opportunities for AI&XR in Health Applications

Andrea Bottino, Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy:

     AI for procedure learning in XR

Joseph L. Gabbard, Virginia Tech, USA:

     Implications of AI for next-generation AR user interfaces

 

REGISTRATION:

The registration deadline for XR&AI 2023 is 1 July 2023, with the following fee options:

     Early bird registration: € 550,00  (until 31 May 2023)

     Regular registration:    € 600,00  (from 1 June 2023)

The XR&AI Summer School 2023 registration fee includes lectures, WiFi internet connection, daily lunches and coffee breaks as well as the pizza party and the guided visit of the town. The registration fee does not include the accommodation costs.

 

MORE INFORMATION:

Registration is open (registration)

For additional information regarding the detailed program of theoretical and practical lectures, venue, recommended accommodations and travels, etc., please visit the school's website or send us an e-mail.

 

 

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

Prof. Primo Zingaretti

Full Professor of Computer Engineering

Università Politecnica delle Marche

Dipartimento di Ingegneria dell'Informazione

Via brecce bianche, 60131 Ancona Italy

Tel. +39 071 220 4899

e-mail p.zingaretti@staff.univpm.it

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