“Workshop on Advancing Non-invasive Human Motion Characterization in the Clinical Domain” (ANIMA) at BMVC

July 23rd, 2024 Daniela Lopez de Luise

Dear CVML community, we would like to share with you the call for papers for the:

 

1st Workshop on Advancing Non-invasive Human Motion Characterization in the Clinical Domain: Methods and Applications (ANIMA)

Workshop at BMVC, Glasgow, UK. 27th-28th November (exact date TBA)

https://anima2024.sites.uu.nl/

 

Motivation and topics

In the healthcare domain, understanding and characterizing human motion is essential for tasks, including diagnostics, monitoring and rehabilitation. Traditionally, the gold standard to accurately characterize and study human motion relies on motion capture systems and physical markers placed on the skin. These techniques are intrusive, expensive and they may limit natural movements. Furthermore, they limit the natural environment in which the analysis can take place. Recently, video analysis has become an increasingly viable alternative to marker-based systems to perform human motion analysis. This is due to the increasing progress – in terms of accuracy and computational resources needed – of deep learning algorithms in solving computer vision problems. In particular, recent advancements in deep learning-based Human Pose Estimation (HPE) algorithms enable the automated quantitative analysis of human motion from video data.

 

The application of computer vision in healthcare has the potential to revolutionize how we analyze human behavior. This workshop is positioned at the intersection of computer vision and medical applications, emphasizing the importance of extracting meaningful insights from video data. Our primary interest lies in the behavioral analysis of human motion. This focus is particularly crucial in healthcare, where precise understanding of an individual's movements can aid in early detection of neuromotor disorders, personalized care plans and effective rehabilitation strategies.

 

The medical domain poses unique challenges in ensuring robustness and high accuracy. Moreover, clinical applications require tailoring to specific demographics such as infants, elderly, or people with physical impairments. Consequently, dealing with data scarcity for training and benchmarking is another challenge. Our workshop aims to contribute to the broader computer vision community by focusing on those challenges that are inherent, but not unique, to the medical domain. We believe that tackling these topics in behavioral motion analysis within the medical domain will not only advance healthcare technology but also push the boundaries of computer vision research.

 

Topics of the workshop

  • Motion quantification: measurement of human pose and motion in 2D or 3D.
  • Motion classification: detection of specific human motions, training classifiers with limited data.
  • Clinical datasets: dealing with data scarcity, privacy, federated learning, synthetic data, and benchmarking.
  • Motion recording: use, calibration and combination of various sensors.
  • Applications: in the domain of infant analysis, diagnostics and rehabilitation.
  • Real-time analysis: algorithms to perform human motion analysis in real-time, enabling applications such as continuous monitoring in clinical settings.
  • Ethical considerations: studies that address ethical implications of using computer vision in healthcare, including issues related to privacy, consent and bias in algorithmic decision-making.

 

Invited speakers

Dr. Dimitris Tzionas is an assistant professor at the University of Amsterdam. He conducts research on the intersection of Computer Vision, Computer Graphics and Machine Learning. His motivation is to understand and model how people look, move and interact with the physical world and with each other to perform tasks. This involves: (1) accurately “capturing” real people and their whole-body interactions with scenes and objects, (2) modeling their shape, pose and interaction relationships, (3) applying these models to reconstruct real-life actions in 3D/4D and (4) using these models to generate realistic interacting avatars in 3D/4D. Potential applications include Ambient Intelligence, Virtual Assistants, Human-Computer/Robot Interaction and Mixed Reality. The long-term goal is to develop human-centered AI that perceives humans, understands their behavior and helps them to achieve their goals.

 

Dr. Logan Wade is a Research Fellow at the University of Bath, United Kingdom. As a clinical biomechanist, his research harnesses computer vision and machine learning to identify how patients move, with the goal of integrating biomechanical measures into clinical practice. Recent advances in Artificial Intelligence has seen the rise of motion capture methods that are fast and minimally invasive, allowing collection of data in clinics that was previously restricted to high-end biomechanical laboratories. However, while the accuracy of these systems has drastically improved over the past decade, determining if their accuracy is sufficient for use on an individual patient level is still to be determined. His long-term goal is to develop computer vision tools that are clinically relevant, employing mediums such as markerless video capture to identify movements of the body and 3D ultrasound to examine patient-specific spinal postures.

 

Dr. Sara Moccia is an Associate Professor in bioegineering at Universit`a degli Studi G. d’Annunzio (Chieti, Italy). She works on designing AI algorithms for clinical data analysis, with a specific focus on preterm infants’ care. She is the author of more than 50 papers. She is PI for three research projects for a total budget of around 2 mln euro. She serves as Associate editor for two international journal and currently as program chair for IPCAI

 

Dr. Simona Tiribelli is the director for AI Ethics of the Institute for Technology & Global Health at the MIT-funded spin-off PathCheck Foundation (Boston, US), assistant professor at the University of Macerata (Italy), where she teaches Ethics of Artificial Intelligence and Global Justice and Technology, 2023 visiting scholar in AI ethics at the New York University (NYU), and 2020 Fulbright awarded and fellow at the MIT Media Lab, Massachusetts Institute of Technology, US. She is also a founder of the spin-off GAIA (AI Ethics and Governance) and AI Ethics advisor for companies in Europe and US. She authored two books and a number of articles in leading scientific international journals on ethics of artificial intelligence and digital technology, and delivered on invite more than 50 talks in academic institutions such as Harvard University, Tufts University, Toronto University, and many more, in Europe, Canada, and USA.

 

Important dates

Paper submission: August 25th, 2024

Notification of acceptance: September 8th, 2024

Camera-ready submission: September 16th, 2024

 

Submission

Workshop papers should adhere to the paper guidelines of the main conference: https://bmvc2024.org/authors/author-guidelines/ Accepted papers will be included in the BMVC workshop proceedings published and DOI-indexed by BMVA. Submissions can be made through the submission system: TODO

 

Organizers

Lucia Migliorelli: Department of Information Engineering, Marche Polytechnic University, Italy, l.migliorelli@staff.univpm.it

Matteo Moro: Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova & Machine Learning Genoa (MaLGa) Center, Genova, Italy, matteo.moro@unige.it

Ronald Poppe: Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands, r.w.poppe@uu.nl

 

Read More »

SOFSEM 2025 Call for papers

July 23rd, 2024 Daniela Lopez de Luise
                   *************************
                   ****   SOFSEM 2025   ****
50th International Conference on Current Trends in Theory and Practice of Computer Science
            January 20 – 23, 2025, Bratislava, Slovakia
                      
                       http://www.sofsem.sk
                         Call for Papers
SOFSEM is an annual winter conference devoted to the theory and practice of
computer science. The conference traditionally focuses on the latest results
and developments of fundamental research in computer science (informatics),
inspired by the algorithmic challenges of our time. SOFSEM has a long tradition
as a high-quality research conference, and a venue where researchers from
academia and industry in all stages of their career can share their insights.
The series of SOFSEM conferences began in 1974, and was only interrupted in
2022 due to the covid pandemic. In 2025, at its 50th edition, SOFSEM will be
held as a physical event in Bratislava, Slovakia. The proceedings will be
published in the subseries ARCoSS (Advanced Research in Computing and Software
Science) of the Lecture Notes in Computer Science (LNCS) of Springer.
Topics
The program committee encourages submission of original research papers in all
areas of foundations of computer science and artificial intelligence, including
e.g.
 * AI-based algorithms and techniques,
 * algorithms (approximation, combinatorial, exact, online, parameterized, probabilistic, 
   streaming, etc)
 * automata (cellular, finite, networked, etc), languages, machine models, rewriting systems
 * computability, decidability, classical and non-classical models of computation,
 * computational complexity (incuding e.g. communication, descriptional, fine-grained, 
   Kolmogorov, non-uniform, fixed-parameter and structural complexity),
 * computational geometry,
 * computational learning,
 * cryptographic techniques and security,
 * data compression algorithms,
 * data- and pattern mining methods (includeing e.g. models, theory, algorithms)
 * discrete combinatorial optimization, heuristics, local search, SAT solvers, simulation
 * efficient data structures (including e.g. dynamic, geometric, and spatial datastructures)
 * experimental algorithmics, applications
 * formal models of systems (including e.g. concurrent, hybrid, reactive, mobile, net-based, 
   and timed systems)
 * graph structure and algorithms,
 * intelligent algorithms,
 * logics of computation, process models, program synthesis
 * machine learning theory,
 * multi-agent algorithms and games,
 * nature-inspired computing,
 * network science,
 * neural network theory,
 * parallel and distributed computing,
 * quantum computing,
 * robotics
 * structural complexity,
 * visualization algorithms (including e.g. graph drawing, network layout)
and other relevant theory topics in computing and AI.
Program Chairs
Vera Kurkova, Czech Academy of Sciences, Prague, Czech Republic
Rastislav Kralovic, Comenius University, Bratislava, Slovakia
Program Committee
Amir Amihood, Bar-Ilan University, Israel
Přemysl Brada, University of West Bohemia, Czech Republic
Tiziana Calamoneri, Sapienza University of Rome, Italy
Ivana Cerna, Masaryk University, Brno, Czech Republic
Jérémie Chalopin, LIS Marseille, France
Marek Chrobak, University of California Riverside, USA
Gianluca De Marco, University of Salerno, Italy
Stefan Dobrev, Slovak Academy of Sciences, Slovakia
Martin Drozda, Slovak University of Technology in Bratislava, Slovakia
Robert Ganian, Technische Universität Wien, Austria
Leszek Gasieniec, University of Liverpool, UK
Cyril Gavoille, LaBRI, Université de Bordeaux, France
Lucjan Hanzlik, CISPA Helmholtz Center for Information Security, Germany
Markus Holzer, Universität Giessen, Germany
Ling-Ju Hung, National Taipei University of Business, Taiwan
Petr Jancar, Palacky University Olomouc, Czech Republic
Galina Jiraskova, Slovak Academy of Sciences, Slovakia
Tomasz Jurdzinski, University of Wroclaw, Poland
Petteri Kaski, Aalto University, Finland
Philipp Kindermann, Universität Trier, Germany
Dennis Komm, ETH Zurich, Switzerland
Daniel Krizanc, Wesleyan University, Middletown, USA
Giuseppe Liotta, University of Perugia, Italy
Alexei Lisitsa, University of Liverpool, UK
Hsiang-Hsuan Liu, Utrecht University, The Nederlands
Alessio Mansutti, IMDEA Software Institute, Spain
Marco Mesiti, University of Milano, Italy
Xavier Munoz Lopez, Universitat Politècnica de Catalunya, Spain
Vangelis Paschos, Université Paris-Dauphine, France
Rajeev Raman, University of Leicester, UK
Peter Rossmanith, RWTH Aachen, Germany
Pawel Sobocinski, Tallinn University of Technology, Estonia
Ulrike Stege, University of Victoria, Canada
Gerth Stølting Brodal, Aarhus University, Denmark
Submission Guidelines
Papers should be submitted electronically through EasyChair.
Submissions should be prepared in accordance with Springer’s Instructions for
Authors of Proceedings, and use either the LaTeX or the Word templates provided
on the authors’ page. The length should not exceed 12 pages (excluding
references).
No prior publication or simultaneous submission to other conferences or
journals are allowed (except preprint repositories such as arXiv or workshops
without formal published proceedings). There is no need to anonymize the
submissions.
Important Dates
Submission Deadline: September 15, 2024
Conference: January 20-23, 2025
Steering Committee
Henning Fernau, Trier University, Trier, Germany, chair
Leszek A. Gąsieniec, University of Liverpool, United Kingdom
Serge Gaspers, UNSW Sydney, Australia
Ralf Klasing, CNRS and University of Bordeaux, France
Tiziana Margaria, University of Limerick, Ireland
Mirosław Kutyłowski, NASK – National Research Institute, Warsaw, Poland
Branislav Rovan, Comenius University, Bratislava, Slovakia
Jan van Leeuwen, Utrecht University, Utrecht, The Netherlands
Július Štuller, Academy of Sciences, Prague, Czech Republic

Read More »

IROS 2024 Workshop: Standing the Test of Time Retrospective and Future of World Representations for Lifelong Robotics

July 23rd, 2024 Daniela Lopez de Luise
Dear community,
 
We are happy to welcome contributions to our IROS 2024 workshop: “Standing the Test of Time Retrospective and Future of World Representations for Lifelong Robotics”.
Accurate, informative, and scalable world representations are an essential component of highly autonomous mobile robots and have been an important topic of research for several decades. As robots become more capable, deploying in larger and more dynamic, varied environments, requirements for such representations have grown apace. Handling multiple data modalities, levels of abstraction, and types of information (metric, topological, semantic, objects, etc.) remains challenging — even more so in so-called lifelong settings where robots must maintain world models over extended periods of time. Over the last forty years, roboticists have used techniques from many machine learning and statistics paradigms for mapping. However, none have been nearly as transformative as deep learning, and we are now at an inflection point in the pace of adoption and proliferation of deep learning techniques for representing models of the world suited to robotics. Such a moment offers an opportunity for retrospection: to consider lessons from previous eras of research that have stood the test of time, to carry such lessons forward into an age of research dominated by models relying on latent representations, and to understand in hindsight the limits and blind spots of previous paradigms. We may look forward as well: to understand the trade-offs presented by newer learning and representation techniques, to share and discuss new examples of state-of-the-art technical approaches for robotic mapping and modelling, and to develop a shared view of the new frontier of challenges facing such systems as they are deployed in ever more challenging domains.
With these goals and challenges in mind, we extend a call for the following types of papers for submission to the Workshop:
Technical papers (up to 6 pages). Technical papers propose new methods for mapping or new world representations that represent the state-of-the-art in some aspect. Specific topics could include novel:
  • Time-aware predictive world models;
  • Action-conditioned world representations;
  • Methods for updating maps over many deployments or long time periods;
  • Hierarchical representations of environments;
  • Methods that explicitly support structure learning in the environment;
  • Methods for representing different information (e.g. spatiosemantic maps)” to “Methods for representing different types of information (e.g. spatial, temporal, semantic);
  • Methods for memory-efficient map storage;
  • Mapping primitives (e.g. Gaussian splatting, voxels, planes, etc.);
  • Mapping data structures (e.g. oct-trees, place graphs, etc.).
Retrospective papers (up to 8 pages). Retrospective papers are survey papers or other studies examining existing research at scale. They do not have to be exhaustive but should provide a solid foundation for a more comprehensive survey or tutorial article. Such papers may taxonomize previous mapping research, identify important lessons from previous eras of research that have stood the test of time, discuss how to carry such lessons forward into an age of research dominated by models relying on latent representations, or provide insight into the limits and blind spots of previous paradigms.
Mini retrospectives (up to 4 pages). Mini retrospectives are unique to this workshop and analyse how 1 or 2 related papers that are at least 5 years old have changed the way we think about world representations. Their focus is narrow, with an emphasis on detailed studies of a single theme.
Position papers (4-8 pages). Position papers look to the future and argue for the importance of certain techniques, questions, evaluation paradigms, design philosophies, etc. in future research. They may also elaborate on particular trade-offs presented by newer learning and representation techniques or develop a view of new difficulties facing state-of-the-art systems as they are deployed in ever more challenging domains.
This workshop is non-archival, and thus we are happy to review submissions that are concurrently under review elsewhere or have already been published in whole or in part.
Submission Instructions: Coming soon…
Important deadlines (subject to change)
  • Submission Deadline: Sunday, Sept 1, 2024, by 11:59 PM EDT
  • Reviews due: Friday, Sep 20, 2024, by 11:59 PM EDT
  • Acceptance Notification: Tuesday, Oct 1, 2024
  • Camera-ready submission: Tuesday, Oct 8, 2024, by 11:59 PM EDT
  • Workshop: Monday, October 14, 2024
  • Location: Room 17, more info to come!
 
Organisers:
Miguel Saavedra Ruiz, University of Montreal
Pierre-Yves Lajoie, University of Montreal
Samer Nashed, University of Montreal
Victor Romero Cano, Cardiff University
Liam Paull, University of Montreal
Malika Meghjani, Singapore University of Tech. & Design
John Leonard, MIT

Read More »

IEEE Consumer Communications & Networking Conference 10–13 January 2025 – Track 2 – Networking Solutions for Social Applications, Multimedia, and Games

July 23rd, 2024 Daniela Lopez de Luise

Call for Papers

Deadline extension: August 1, 2024

Track 2 – Networking Solutions for Social Applications, Multimedia, and Games

 

Track Chairs: 

Ombretta Gaggi, University of Padua, Italy (email: gaggi@math.unipd.it) 

Manuela Montangero, University of Modena and Reggio Emilia, Italy (email: manuela.montangero@unimore.it)

IEEE Consumer Communications & Networking Conference

10–13 January 2025  

Las Vegas, NV, USA

https://ccnc2025.ieee-ccnc.org/authors/call-technical-papers

IMPORTANT DATES

Conference Dates: 10 January – 13 January 2025

Technical Papers due: August 1, 2024

Acceptance Notification: August 31, 2024

Summit at: https://edas.info/newPaper.php?c=32162&track=123255

Scope and Motivation: 

Social applications, multimedia, and games play a substantial role in shaping Internet traffic and have emerged as dominant mode of social interaction online. This recent trend has sparked significant research interests, both at the network level and in terms of application and service development. Moreover, with the advent of the metaverse, research focus within these domains has expanded to encompass virtual worlds, immersive experiences, and social interactions in virtual environments. Given their increasing prevalence and interdisciplinary nature, social applications, multimedia, and games have also garnered research attention across diverse fields, including big data analytics, cloud computing, artificial intelligence, data sensing, information security, and privacy protection.

Main Topics of Interest: The Networking solutions for social applications, multimedia, and games track seeks original contributions in the following areas, as well as others that are not explicitly listed but are closely related:

● Artificial Intelligence for social applications, multimedia, and games. 

● Architectures, Platforms, and Protocols. 

● Business models for social applications, multimedia, and games. 

● Communication security for social applications, multimedia, and games. 

● Data Sensing. 

● Distributed games engines. 

● Ethical considerations in social applications, multimedia, and games. 

● Gamification and game-based learning in applications. 

● Human-Computer Interfaces and Human-Machine Interfaces. 

● Immersive storytelling and narrative techniques in multimedia and games. 

● Knowledge discovery for social applications, multimedia, and games. 

● Metaverse, virtual worlds, immersive experiences. 

● Naming and routing of media streams. 

● New paradigms of future communications networks. 

● Non-visual Interfaces for accessibility and/or Virtual Reality. 

● Novel applications for the social, multimedia, and games scenario. 

● Smart moving and smart objects. 

● Social computing and collective intelligence. 

● Social influence and persuasion in multimedia and games. 

● Social interactions in communication networks. 

● Recommender algorithms. 

● Rumor source localization in large-scale, real-world networking solutions.

● User profiling and behavior analysis. 

● User engagement and retention strategies in social applications and games. 

● Virtual reality and augmented reality applications.

pdf icon promo-ccnc2025_c.pdf
Read More »

CVAUI24 deadline extension to August 7 / underwater vision

July 23rd, 2024 Daniela Lopez de Luise

Please note that the submission deadline for the call below has been postponed to August 7.

++ CVAUI2024@ICPR2024 ++

The 6th Workshop on Computer Vision for Analysis of Underwater Imagery

CVAUI 2024 Virtual Workshop, December 1, 2024

to be held in conjunction with the 27th International Conference on Pattern Recognition 2024 (ICPR 2024), Kolkata, India and online (December 1-5, 2024)

++ CALLS FOR PAPERS ++

We invite submissions to CVAUI 2024 from all areas of computer vision and image analysis relevant for, or applied to, underwater imagery. Topics of interest include, but are not limited to:

  • robust vision in challenging conditions

  • underwater image formation models

  • underwater image restoration or enhancement

  • physical models of reflectance and light transport, including multi-spectral or hyperspectral

  • underwater scene understanding

  • classification, detection, segmentation, tracking

  • (autonomous) visual underwater navigation and mapping by robots

  • monitoring and characterization of marine life (including fisheries research)

  • automatic video annotation and summarization

  • context-aware machine learning and image understanding

  • training data, benchmarks and synthetic data

  • (inverse) rendering and underwater scene representations

  • underwater calibration and parameter estimation ( e.g., of cameras, lights, or media)

++ Best Paper Award ++

The best paper will be awarded a prize of $500.
 

++ Important Dates ++

Submission open: June 15, 2024

Workshop paper submission deadline:  ==> August 7, 2024

Notification to authors : ==>  September 6, 2024

Camera-ready deadline: September 27, 2024

Workshop date: December 1, 2024

++ Publication ++

Fully peer-reviewed proceedings to be published in Springer Lecture Notes in Computer Science (LNCS) series.

++ Webpage ++

https://sites.google.com/view/underwatercv/tc5-workshops/6th-workshop-on-cvaui

 
CVAUI is supported by the Computer Vision for Underwater Environmental Monitoring Technical Committee 5 of the International Association of Pattern Recognition (IAPR), and sponsored by the IAPR and Ocean Networks Canada.

++ Scientific Committee ++

  1. David Nakath (PhD) Post-Doc, Marine Data Science, Dept. of Computer Science, University of Kiel, Schleswig-Holstein, Germany

  2. Maia Hoeberechts (PhD) Associate Director, Learning & Community Engagement, Ocean Networks Canada and Adjunct Professor, Department of Computer Science, University of Victoria, BC, Canada

  3. Kevin Köser (PhD), Professor, Marine Data Science, Dept. of Computer Science  University of Kiel, Schleswig-Holstein, Germany

  4. Alexandra Branzan Albu (PhD) Professor, Electrical and Computer Engineering, University of Victoria, BC, Canada

++ Technical Program Committee ++

  • Andreas Birk – Constructor-University Bremen, Germany

  • Claire Dune – Université de Toulon, France

  • Duane Edgington – Monterey Bay Aquarium Research Institute, California, USA

  • Maxime Ferrera – IFREMER, Underwater Robotics Lab, France

  • Bob Fisher – School of Informatics, University of Edinburgh, UK

  • Rafael Garcia – University of Girona, Spain

  • Hervé Glotin – Institut Universitaire de France and Université de Toulon, France

  • Nina S. T. Hirata – University of São Paulo, Brazil

  • Anthony Hoogs –  Kitware Inc., New York, USA

  • Jules Jaffe – UCSD/Scripps, USA

  • Reinhard Koch – University of Kiel, Germany

  • Jianping Li – Shenzhen Institutes of Advanced Technology / CAS, China

  • Fabio Menna – Fondazione Bruno Kessler, Italy

  • Rudolf Mester – NTNU, Norway

  • Tim Nattkemper – Bielefeld University, Germany

  • Erica Nocerino – Università degli Studi di Sassari Italy

  • Annette Stahl – NTNU, Norway

  • Katie Skinner – University of Michigan, USA

  • Gaowang Wang – Zhejiang University, China


                                

									Read More »
								

							

						

				
								

										
« Older Entries

					
Newer Entries »

									

								

			

		
		
	

		

    

			

    			    		


			
				

		
	

	

	

    	
   
   
Design by  2b Consult