CfP – Workshop on Machine Learning for Streaming Media (ML4SM) at The WebConf2023

January 17th, 2023 Daniela Lopez de Luise
Call for Papers: Workshop on Machine Learning for Streaming Media at The WebConf2023

Austin, Texas, USA, Sunday, April 30, 2023

https://ml4streamingmedia-workshop.github.io/www/index.html 

 

Streaming media have been seeing massive year over year growth in terms of consumption hours recently. For many people, streaming services have become part of everyday life and accessing and consuming media content via streaming is now the norm for people of all ages. Powered by Machine Learning (ML) algorithms, streaming services are becoming one the most visible and impactful applications of ML that directly interact with people and influence their lives.

 

Despite the rapid growth of streaming services, the research discussions around ML for streaming media remain fragmented across different conferences and workshops. Also, the gap between academic research and constraints and requirements in industry limits the broader impact of many contributions from academia. Therefore, we believe that there is an urgent need to: (i) build connections and bridge the gap by bringing together researchers and practitioners from both academia and industry working on these problems, (ii) attract ML researchers from other areas to streaming media problems, and (iii) bring up the pain points and battle scars in industry to which academia researchers can pay more attention.

 

With this motivation in mind, we are organizing a workshop on Machine Learning for Streaming Media in conjunction with the WebConf 2023. We invite quality research contributions, including original research, preliminary research results, and proposals for new work, to be submitted. All submitted papers will be peer reviewed by the program committee and judged for their relevance to the workshop, especially to the topics identified below, and their potential to generate discussion. Accepted submissions will be presented at the workshop and will be published in the companion (workshop) proceedings of the WebConf 2023. We welcome research that has been previously published or is under review elsewhere. Such articles should be clearly identified at the time of submission and will not be published in the proceedings.

 

Workshop Topics

 

The main topics we would like to consider for this workshop are

· Content Understanding

o   Multimodal representation

o   Feature extraction for audio, video, and image content

o   Knowledge Graph generation for streaming media

o   Semi-supervised learning for content understanding

o   Metadata enrichment for music, podcast, video catalog

· Search and recommendation for streaming media

o   Named entity recognition (e.g. identifying celebrities, hosts, artists)

o   Conversational systems

o   Reward modeling and shaping

o   Item cold start problems and challenges

o   Designing scalable ML systems

o   Heterogeneous content recommendation

o   Learning to rank

o   Transfer learning

o   Explainable recommendations

o   Representation learning

o   Graph learning algorithms for streaming media

· Measurement, Metrics & Evaluation

o   Evaluation methodologies for streaming media search and recommendations

o   Methodologies for valuation of content

o   Measuring business impact of recommendation systems

o   Life-time value modeling

o   Churn prediction & retention modeling

· User Studies & Human-In the Loop

o   User studies on real-world recommenders – Human-In the loop recommendations

o   Mixed methods research

o   User studies on preference elicitation

· Trust, Safety & Algorithmic Fairness

o   Identifying misinformation and disinformation – Algorithmic fairness in recommendations

o   Hate-speech and fake news detection

o   Content moderation

o   Societal impact of recommendation systems for streaming media

· Machine learning to optimize streaming quality of experience

Important Dates

· Submission deadline: 6th of February 2023                

· Author notification: 6th of March 2023

· Camera-ready version deadline: 20th of March 2023

· Workshop: Either 1st of May OR 2nd of May 2023    

All deadlines are 11:59 pm, Anywhere on Earth (AoE).

 

Submission Instructions

 

 

Formatting Instructions

 

Submissions should not exceed six pages in length (including appendices and references). Papers must be submitted in PDF format according to the ACM template published in the ACM guidelines, selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English.

 

Registration and Attendance

 

Further, at least one author of each accepted workshop paper has to register for the main conference. Workshop attendance is only granted for registered participants.

 

Workshop Organizers

· Sudarshan Lamkhede – Manager, Machine Learning – Search and Recommendations, Netflix Research. 

· Praveen Chandar – Staff Research Scientist, Spotify 

· Vladan Radosavljevic – Machine Learning Engineering Manager, Spotify 

· Amit Goyal – Senior Applied Scientist, Amazon Music

· Lan Luo – Associate Professor of Marketing, University of Southern California

If you have any questions please do not hesitate to reach out to the workshop organizers via organizers-ml4sm at googlegroups dot com

 

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ICMI 2023 – Call for Papers

January 17th, 2023 Daniela Lopez de Luise
25th ACM International Conference on Multimodal Interaction (ICMI 2023)

9-13 October 2023, Paris, France

 

The 25th International Conference on Multimodal Interaction (ICMI 2023) will be held in Paris, France. ICMI is the premier international forum that brings together multimodal artificial intelligence (AI) and social interaction research. Multimodal AI encompasses technical challenges in machine learning and computational modeling such as representations, fusion, data and systems. The study of social interactions englobes both human-human interactions and human-computer interactions. A unique aspect of ICMI is its multidisciplinary nature which values both scientific discoveries and technical modeling achievements, with an eye towards impactful applications for the good of people and society.

 

ICMI 2023 will feature a single-track main conference which includes:

keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits, doctoral consortium, and late-breaking papers. The conference will also feature tutorials, workshops and grand challenges. The proceedings of all ICMI 2023 papers, including Long and Short Papers, will be published by ACM as part of their series of International Conference Proceedings and Digital Library, and the adjunct proceedings will feature the workshop papers.

 

Novelty will be assessed along two dimensions: scientific novelty and technical novelty. Accepted papers at ICMI 2023 will need to be novel along one of the two dimensions:

* Scientific Novelty: Papers should bring new scientific knowledge about human social interactions, including human-computer interactions. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children’s interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper.

* Technical Novelty: Papers should propose novelty in their computational approach for recognizing, generating or modeling multimodal data. Examples

include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated with new usages of an existing approach.

 

Please see the Submission Guidelines for Authors https://icmi.acm.org/ for detailed submission instructions. Commitment to ethical conduct is required and submissions must adhere to ethical standards in particular when human-derived data are employed. Authors are encouraged to read the ACM Code of Ethics and Professional Conduct (https://ethics.acm.org/).

 

ICMI 2023 conference theme: The theme for this year’s conference is “Science of Multimodal Interactions”. As the community grows, it is important to understand the main scientific pillars involved in deep understanding of multimodal social interactions. As a first step, we want to acknowledge key discoveries and contributions that the ICMI community enabled over the past

20+ years. As a second step, we reflect on the core principles,

20+ foundational

methodologies and scientific knowledge involved in studying and modeling multimodal interactions. This will help establish a distinctive research identity for the ICMI community while at the same time embracing its multidisciplinary collaborative nature. This research identity and long-term agenda will enable the community to develop future technologies and applications while maintaining commitment to world-class scientific research.

Additional topics of interest include but are not limited to:

* Affective computing and interaction

* Cognitive modeling and multimodal interaction

* Gesture, touch and haptics

* Healthcare, assistive technologies

* Human communication dynamics

* Human-robot/agent multimodal interaction

* Human-centered A.I. and ethics

* Interaction with smart environment

* Machine learning for multimodal interaction

* Mobile multimodal systems

* Multimodal behaviour generation

* Multimodal datasets and validation

* Multimodal dialogue modeling

* Multimodal fusion and representation

* Multimodal interactive applications

* Novel multimodal datasets

* Speech behaviours in social interaction

* System components and multimodal platforms

* Visual behaviours in social interaction

* Virtual/augmented reality and multimodal interaction

 

Important Dates

Paper Submission: May 1, 2023

Rebuttal period: June 26-29, 2023

Paper notification: July 21, 2023

Camera-ready paper: August 14, 2023

Presenting at main conference: October 9-13, 2023

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LAST CALL for the IET Image Processing special issue on “Advancements in Fine Art Pattern Extraction and Recognition” (deadline 31 January 2023)

January 17th, 2023 Daniela Lopez de Luise
___________

Aim & Scope

Cultural heritage, especially fine arts, plays an invaluable role in the
cultural, historical and economic growth of our societies. Fine arts are
primarily developed for aesthetic purposes and are mainly expressed
through painting, sculpture and architecture. In recent years, thanks to
technological improvements and drastic cost reductions, a large-scale
digitization effort has been made, which has led to an increasing
availability of large digitized fine art collections. This availability,
coupled with recent advances in pattern recognition and computer vision,
has disclosed new opportunities, especially for researchers in these
fields, to assist the art community with automatic tools to further
analyze and understand fine arts. Among other benefits, a deeper
understanding of fine arts has the potential to make them more
accessible to a wider population, both in terms of fruition and
creation, thus supporting the spread of culture.

This special issue aims to offer the opportunity to present advancements
in the state-of-the-art, innovative research, ongoing projects, and
academic and industrial reports on the application of visual pattern
extraction and recognition for a better understanding and fruition of
fine arts, soliciting contributions from pattern recognition, computer
vision, artificial intelligence and image processing research areas. The
special issue will be linked to the 2nd International Workshop on Fine
Art Pattern Extraction and Recognition (FAPER2022). Authors of selected
conference papers will be invited to extend and improve their
contributions for this special issue, and authors are also invited to
submit new contributions (non-conference papers).

_______________________________________
Topics include, but are not limited to:
– Applications of machine learning and deep learning to cultural
heritage and digital humanities
– Computer vision and multimedia data processing for fine arts
– Generative adversarial networks for artistic data
– Augmented and virtual reality for cultural heritage
– 3D reconstruction of historical artifacts
– Point cloud segmentation and classification for cultural heritage
– Historical document analysis
– Content-based retrieval in visual art domain
– Digitally enriched museum visits
– Smart interactive experiences in cultural sites
– Project, products or prototypes for cultural heritage

_______________________________________________
Submission Deadline (extended): 31 January 2023

Submissions must be made through ScholarOne:
https://mc.manuscriptcentral.com/theiet-ipr

see the PDF call for paper for more information:
https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf

___________
Open Access

 From January 2021, The IET began an Open Access publishing partnership
with Wiley. As a result, all submissions that are accepted for this
Special Issue will be published under the Gold Open Access Model and
subject to the Article Processing Charge (APC) of $2,300.

*APC can be covered in FULL, i.e. FREE OF CHARGE*, or part by your
institution
*CHECK  YOUR  ELIGIBILITY  HERE*
https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html

_______________
Editor-in-Chief

Prof. Farzin Deravi, University of Kent, UK

_____________
Guest Editors

Giovanna Castellano, Universita' di Bari, Italy
Gennaro Vessio, Universita' di Bari, Italy
Fabio Bellavia, Universita' di Palermo, Italy
Sinem Aslan, Università Ca' Forscari Venezia, Italy

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Call for Papers for Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) Workshop at HRI 2023

January 17th, 2023 Daniela Lopez de Luise
*The workshop submission and instructions have been updated on the

website: https://vam-hri.github.io/


================
CALL FOR PAPERS

The 6th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI)


Affiliated with HRI 2023
================
ROLLING SUBMISSIONS:

Due to the early registration deadline for HRI being January 20th, we have
implemented rolling submissions with updated deadlines. Make sure to

submit by Jan 17th if you want notification by January 20, 2023 UTC-12 

before the HRI 2023 early registration deadline.

Final submissions will close February 18, 2023 UTC-12.

WORKSHOP DATE:
March 13, 2023

WEBSITE:
https://vam-hri.github.io/
================

The 6th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI) will bring together HRI, robotics,
and mixed reality researchers to address challenges in mixed reality
interactions between humans and robots in a hybrid workshop format,

allowing for participation both in-person and remotely. VAM-HRI 2023 

will follow on the success of VAM-HRI 2018-22 and advance the cause of this

nascent research community.

VAM-HRI 2023 welcomes contributions on topics including but NOT

limited to:


– AR-based intent communication
– AR-based behavior explanation
– Social/Socially Assistive applications of VAM-HRI
– AR/VR for robot testing and diagnostics
– AR/VR for robot learning
– VR for HRI human-subject experimentation
– Mixed-reality language grounding
– AR-augmented natural language generation
– AR-enabled robot control
– AR/VR for safety around robots
– Architectures for AR/VR-based HRI
– Computational modeling within AR/VR-based HRI
– AR/VR for expanding social interactions
– VAM-HRI research in the time of COVID-19
– Social and ethical implications of VAM for HRI

VAM-HRI accepts submissions of length from 2-8 pages presenting
current or proposed work. Papers posted online without prior peer review
(e.g., already posted on ArXiv as a preprint but not already accepted into
another venue) can be submitted. References do not count towards
total page count. A submission link will be provided on the workshop
website: https://vam-hri.github.io/

All accepted papers will be accompanied by talks and/or poster presentations
and will be archived on the workshop website.

Organizing Team
Maciej Wozniak | KTH Stockholm
Bryce Ikeda | University of North Carolina at Chapel Hill
Eric Rosen | Brown University
Matthew B. Luebbers | University of Colorado Boulder
Michael E. Walker | University of North Carolina at Chapel Hill
Christine T. Chang | University of Colorado Boulder
Thomas Groechel | University of Southern California

Steering Committee
Andre Pereira | KTH Stockholm
Jivko Sinapov | Tufts University
Stefanie Tellex | Brown University

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CALL FOR PAPERS – CVPR 2023 Workshop on Image Matching: Local Features and Beyond

January 17th, 2023 Daniela Lopez de Luise
Workshop website: https://image-matching-workshop.github.io
Challenge website: https://www.cs.ubc.ca/research/image-matching-challenge/
CMT website for paper submission:
https://cmt3.research.microsoft.com/IMW2023

*OVERVIEW*

We are happy to announce that the Fifth Workshop on Image Matching:
Local Features and Beyond will be held at CVPR 2023 on June 19, 2023
(morning, Pacific Time) in Vancouver, Canada.

Its goal is to encourage and highlight novel strategies for image
matching that deviate from and advance traditional formulations, with a
focus on large-scale, wide-baseline matching for 3D reconstruction and
pose estimation. This can be achieved by applying new technologies to
sparse feature matching, or doing away with keypoints and descriptors
entirely, such as with dense solutions.

*We will also hold the fifth edition of the Image Matching Challenge*,
co-located with the workshop. Details will be announced in the coming weeks.

*TOPICS*

Workshop topics include (but are not limited to):
– Formulations of keypoint extraction and matching pipelines with deep
networks.
– Application of geometric constraints into the training of deep networks.
– Leveraging additional cues such as semantics and mono-depth estimates.
– Methods addressing adversarial conditions where current methods fail
(weather changes, day versus night, etc.).
– Attention mechanisms to match salient image regions.
– Integration of differentiable components into 3D reconstruction
frameworks.
– Connecting local descriptors/image matching with global
descriptors/image retrieval.
– Matching across different data modalities such as aerial versus ground.
– Large-scale evaluation of classical and modern methods for image
matching, by means of our open challenge.
– New perception devices such as event-based cameras.
– Other topics related to image matching, structure from motion,
mapping, and re-localization, such as privacy-preserving representations.

*SUBMISSION*

We invite paper submissions up to 8 pages, excluding references and
acknowledgements. They should use the CVPR template and be submitted to
the CMT site. Submissions must contain novel work and will be indexed in
IEEE Xplore/CVF. They will receive at least two double-blind reviews.

*IMPORTANT DATES*

– Paper submission deadline: March 19, 2023.
– Notification to authors: April 4, 2023.
– Camera-ready deadline: April 6, 2023 (hard deadline on April 8!).
– Workshop date: June 19, 2023, afternoon (exact schedule TBA).

(All dates are at 11:59PM, Pacific Time, unless stated otherwise.)

*ORGANIZERS*

– Vassileios Balntas, Scape Technologies
– Fabio Bellavia, University of Palermo
– Vincent Lepetit, École des Ponts ParisTech
– Jiri Matas, Czech Technical University in Prague
– Dmytro Mishkin, Czech Technical University in Prague/HOVER Inc.
– Luca Morelli, University of Trento/Bruno Kessler Foundation
– Fabio Remondino, Bruno Kessler Foundation
– Weiwei Sun, University of British Columbia
– Eduard Trulls, Google
– Kwang Moo Yi, University of British Columbia

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