ECCV Advances in Image Manipulation workshop and challenges

July 23rd, 2024 Daniela Lopez de Luise
EXTENDED DEADLINES

CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 9 CHALLENGES
AIM: 5th Advances in Image Manipulation workshop and challenges on 
video super-resolution, depth upsampling, raw alignment and learned ISP, sparse neural rendering, video saliency prediction, image and video quality assessment,

In conjunction with ECCV 2024, Milano, Italy

Website: https://www.cvlai.net/aim/2024/
Contact: radu.timofte@uni-wuerzburg.de

TOPICS

Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to:

● Image-to-image translation
● Video-to-video translation
● Image/video manipulation
● Perceptual manipulation
● Image/video generation and hallucination
● Image/video quality assessment
● Image/video semantic segmentation
● Saliency and gaze estimation
● Perceptual enhancement
● Multimodal translation
● Depth estimation
● Image/video inpainting
● Image/video deblurring
● Image/video denoising
● Image/video upsampling and super-resolution
● Image/video filtering
● Image/video de-hazing, de-raining, de-snowing, etc.
● Demosaicing
● Image/video compression
● Removal of artifacts, shadows, glare and reflections, etc.
● Image/video enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Hyperspectral imaging
● Underwater imaging
● Aerial and satellite imaging
● Methods robust to changing weather conditions / adverse outdoor conditions
● Image/video manipulation on mobile devices
● Image/video restoration and enhancement on mobile devices
● Studies and applications of the above.

SUBMISSION

A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in single-column, ECCV style. The paper format must follow the same guidelines as for all ECCV 2024 submissions.
The review process is double blind.
Dual submission is not allowed.
Submission site: https://cmt3.research.microsoft.com/AIMWC2024/

WORKSHOP DATES

● Submission Deadline: July 24, 2024 [EXTENDED]

● Decisions: August 11, 2024
● Camera Ready Deadline: August 21, 2024

● Workshop event: September 29, 2024

AIM 2024 has the following associated challenges (ONGOING!):
● Mobile Real-Time Video Super-Resolution
● Efficient Video Super-Resolution
● Depth Upsampling and Refinement
● RAW Burst Alignment and ISP ongoing
● Sparse Neural Rendering – Track 1 – 3 views
● Sparse Neural Rendering – Track 2 – 9 views
● Video Saliency Prediction
● Video Super-Resolution Quality Assessment
● Compressed Video Quality Assessment
● Pushing the Boundaries of Blind Photo Quality Assessment

PARTICIPATION

To learn more about the challenges and to participate:

CHALLENGES DATES

● Release of train data: May, 2024
● Competitions end: July 29, 2024  [EXTENDED]

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Call for Papers – Explainable Computer Vision (eXCV) Workshop at ECCV 2024 in Milan

July 23rd, 2024 Daniela Lopez de Luise

Workshop on “Explainable Computer Vision: Where are We and Where are We Going?” at ECCV 2024 in Milan

Paper deadline: July 24, 2024

We invite papers covering all topics within XAI for computer vision, including but not limited to:
– Attribution maps
– Evaluating XAI methods
– Intrinsically explainable models
– Language as an explanation for vision models
– Counterfactual explanations
– Causality in XAI for vision models
– Mechanistic interpretability
– XAI beyond classification (e.g., segmentation or other disciplines of computer vision)
– Concept discovery
We also have a Non-Proceedings / Nectar Track to highlight already published works.


About: Deep neural networks (DNNs) are an essential component in the field of computer vision and achieve state-of-the-art results in almost all of its sub-disciplines. While DNNs excel at predictive performance, they are often too complex to be understood by humans, leading to them often being referred to as “black-box models”. This is of particular concern when DNNs are applied in safety-critical domains such as autonomous driving or medical applications. With this problem in mind, explainable artificial intelligence (XAI) aims to gain a better understanding of DNNs, ultimately leading to more robust, fair, and interpretable models. To this end, a variety of different approaches such as attribution maps, intrinsically explainable models, and mechanistic interpretability methods have been developed. While this important field of research is gaining more and more traction, there is also justified criticism of the way in which the research is conducted. For example, the term “explainability” in itself is not properly defined and is highly dependent on the end user and the task, leading to ill-defined research questions and no standardized evaluation practices. The goals of this workshop are thus two-fold:
1. Discussion and dissemination of ideas at the cutting-edge of XAI research (“Where are we?”)
2. A critical introspection on the challenges faced by the community and the way to go forward (“Where are we going?”)
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Workshop Image Analysis in Nuclear Research September, 2024, Prague, Czech Republic

July 23rd, 2024 Daniela Lopez de Luise

Dear  enthusiasts of computer vision and nuclear research,

we are delighted to invite you to the “Image Analysis in Nuclear Research” workshop, 

hosted by the Institute of Information Theory and Automation (ÚTIA), Prague, Czech Republic.

 

Event Details:

  • Date:                          September 9-11, 2024
  • Location:                   ÚTIA, Pod Vodarenskou vezi 4, Prague, Czech Republic
  • Registration:             Register Here
  • Further info :             WEB, leaflet

The workshop focuses on advanced image analysis in the context of nuclear research.

Topics Covered:

  • Nuclear Fuel Inspection
  • Image Processing
  • Neural Networks for Object Detection
  • 3D Point Cloud Acquisition and Representation
  • Micro-samples Analysis

Highlights:

  • Hands-on sessions
  • An excursion to the Research Center in Řež
  • Lectures from experts in nuclear research and digital image processing
  • Informal meetings

Important Dates:

  • Registration deadline:            July 31, 2024
  • Notification of acceptance:    first-come, first-served basis.  Register early to secure your spot!”

Objectives and Topics: This workshop offers a unique opportunity to delve into the methods of digital image processing used in nuclear research. You will learn about the applications of classical algorithms and the architectures of neural networks and AI shaping current nuclear research and industrial applications.

The keynote speakers for the workshop are from the following organizations: Research Centre Řež s.r.o. (CVŘ s.r.o.), Institute of Information Theory and Automation of the Czech Academy of Sciences (ÚTIA AV), Faculty of Mathematics and Physics, Charles University (MFF UK), and Institute of Physics of the Czech Academy of Sciences (FZÚ AV).

Registration: There is no registration fee. Luncheons, refreshments, and the evening dinner on the first day are provided free of charge. For an accommodation and transport, please contact us.

We look forward to your participation.

Sincerely,

Jan Blažek (blazek@utia.cas.cz) and Barbara Zitova (zitova@utia.cas.cz)

Neobsahuje žádné viry.www.avg.com

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WI-IAT’ 24 Call for Papers [Deadline Extended to 15 Aug 2024] !!!!!

July 23rd, 2024 Daniela Lopez de Luise

 

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
                       CALL FOR PAPERS
        The 23rd IEEE/WIC International Conference on
   Web Intelligence and Intelligent Agent Technology (WI-IAT)
              December 9-12, 2024 | Bangkok, Thailand

    The key theme: Web Intelligence = AI in the Connected World
          A hybrid conference with both online and offline modes

        History of WI-IAT: www.youtube.com/watch?v=wOiSI3NhyKw
        Conference homepage: https://www.wi-iat.com/wi-iat2024/
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Main Conference Papers Submission System:
https://wi-lab.com/cyberchair/2024/wi24/scripts/submit.php?subarea=WI

Workshops and Special Sessions Paper Submission:
https://wi-lab.com/cyberchair/2024/wi24/scripts/ws_submit.php?subarea=S

Keynote Speakers
++++++++++++++++++
Professor Danilo Mandic
Fellow of the Institute of Electrical and Electronics Engineering (IEEE)
President of the International Neural Network Society (INNS)
Imperial College, UK

Professor Ong Yew Soon
Fellow of the Institute of Electrical and Electronics Engineering (IEEE)
Nanyang Technological University, Singapore

Professor Guoyin Wang
Vice-President of the Chinese Association for Artificial Intelligence (CAAI)
President of Chongqing Normal University
Chongqing Normal University, China
Title: Brain Cognition Inspired Artificial Intelligence

More to be confirmed!

Sponsored By:
IEEE Computer Society
(IEEE-CS: https://www.computer.org/)
IEEE Computer Society Technical Committee on Intelligent Informatics
(TCII: https://www.computer.org/communities/technical-committees/tcii)
Web Intelligence Consortium
(WIC: https://wi-consortium.org/)
King Mongkut’s University of Technology Thonburi, Thailand
(KMUTT: https://www.kmutt.ac.th/en/)
Asia-Pacific Neural Network Society (APNNS)
IEEE-CIS Thailand Chapter

PAPER SUBMISSION GUIDELINE
++++++++++ ++++++++ ++++++++
Papers must be submitted electronically via CyberChair in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html).
Submitted papers will undergo a peer review process, coordinated by the International Program Committee.

The 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'24) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on web intelligence and intelligent agent technology research and applications. Academia, professionals and industry people can exchange their ideas, findings and strategies in deepening the understanding of all Web's entities, phenomena, and developments in utilizing the power of human brains and man-made networks to create a better world and intelligent societies. More specifically, the fields of how artificial intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, the Web in industry, society, health, and smart living, the Web of Everything, and emerging AIGC in WI-IAT.
Therefore, the theme of WI-IAT '24 will be:

“Web Intelligence = AI in the Connected World”.

WI-IAT '24 welcomes research and application paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Relevant topics include but are not limited to:

TRACKS AND TOPICS
++++++++++++++++++
TRACK 1: WEB OF PEOPLE
* Cognitive Modeling and Computing
* Conversational Search and Dialog Systems
* Crowdsourcing and Social Computing
* Human Centric Computing and Services
* Human Creativity and Decision-making Support
* Human-level Collective Intelligence
* Human-machine Co-intelligence in the Connected World
* Information Diffusion Modeling and Analysis
* Opinion Mining and Sentiment Analysis
* Recommendation Systems
* Situation and Personality Awareness
* Social Media and Social Networks
* User and Behavioural Modelling
* Wisdom Services

TRACK 2: WEB OF DATA
* Artificial Intelligence Generated Content (AIGC)
* Big Data Analytics and Deep Learning
* Big Data and Human Brain Complex Systems
* Cognitive Models and Computational Models
* Data Driven Services and Applications
* Data Integration and Data Provenance
* Data-Knowledge-Wisdom Hierarchy
* Data Science and Machine Learning
* Few-shot Learning and Transfer Learning
* Graph Isomorphism and Graph Theory
* Information Search and Retrieval
* Knowledge Graph and Semantic Networks
* Linked Data Management and Analytics
* Multimodal Data Fusion
* Large Language Models (LLMs) and Applications
* Representation Learning

TRACK 3: WEB OF THINGS
* Distributed Systems and Devices
* Dynamics of Networks
* Industrial Multi-domain Web
* Intelligent Ubiquitous Web of Things
* IoT Data Analytics
* Location and Time Awareness
* Open Autonomous Systems
* Sensor Networks
* Streaming Data Analysis
* Web Infrastructures and Devices Mobile Web
* Wisdom Web of Things

TRACK 4: WEB OF TRUST
* Blockchain Analytics and Technologies
* De-Platforming and No-platforming
* Decentralization of Internet
* Fake Content and Fraud Detection
* Hidden Web Analytics
* Monetization Services and Applications
* Trust Models for Agents
* Ubiquitous Computing
* Web Cryptography
* Web Safety and Openness
* Web-scale Security, Integrity, Privacy and Trust

TRACK 5: WEB OF AGENTS
* AI Agents and Multi-Agent Systems
* Autonomy Remembrance Agents
* Autonomy-oriented Computing
* Behaviour Modelling and Individual-based Modelling
* Chatbot and Intelligent Agent
* Computational Social Science
* Deep Reinforcement Learning
* Distributed Problem-Solving and Reasoning
* Edge Computing and Cloud Computing
* Local-global Behavioural Interactions
* Mechanism Design
* Network Autonomy Remembrance Agents
* Self-adaptive and Self-organizing Evolutionary Systems
* Social-cyber-physical Systems
* Symbols-Meaning-Value Space

SPECIAL TRACK: Web in Industry, Society, Education, Health and Smart Living, and the Web of Everything
* AIGC in Industry, Finance, Culture, Tourism, Education and Healthcare
* Data Brain, City Brain and Global Brain
* Data-driven Service Industry
* Data-driven Innovative Service-oriented Society
* Digital Ecosystems and Digital Epidemiology
* Digital Transformation and Digital Twin
* Generative AI and the Web of Everything
* Human-machine Symbiosis in a Connected World
* Web3, Metaverse and Smart Living
* Wellbeing and Healthcare in the 5G Era

SPECIAL TRACK in WI-IAT 2024: FAccT, LLM and AIGC
* Digital Divide, Fairness, Accountability, and Transparency
* Generative AI – LLM and AIGC
* Explainability and Interpretability
* Responsible AI
* Metric and Evaluation
* Applications and Use Cases
* Impact on Society
* Robustness and Security

IMPORTANT DATES
+++++++++++++++
July 30, 2024: Workshop Papers Submission
August 15, 2024: Papers Submission (Main Conference)
September 15, 2024: Paper Acceptance Notification (Main Conference)
September 15, 2024: Workshop Paper Acceptance Notification
December 9, 2024: Workshops and Special Sessions
December 10-11, 2024: Main Conference

Organization Structure
++++++++++++++++++++++
Honorary Chairs
* Irwin King, Chinese University of Hong Kong, Hong Kong, China
* Suvit Saetia, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand

General Chairs
* Jonathan Chan, KMUTT, Thailand
* Ah-Hwee Tan, Singapore Management University, Singapore
* Yiyu Yao, University of Regina, Canada

Program Committee Chairs
* Kitsuchart Pasupa, KMITL, Thailand
* Sung-Bae Cho, Yonsei University, South Korea
* Mufti Mahmud, Nottingham Trent University, UK
* Haiqin Yang, International Digital Economy Academy, China

Local Organizing Chairs
* Nipon Charoenkitkarn, KMUTT, Thailand
* Phayung Meesad, KMUTNB, Thailand
* Kuntpong Woraratpanya, KMITL, Thailand
* Ruttikorn Varakulsiripunth, TNI, Thailand

Finance Chair
* Vajirasak Vanijja, KMUTT, Thailand

Workshop/Special Session Chairs
* Mark Chignell, University of Toronto, Canada
* Ashish Ghosh, Indian Statistical Institute, India
* Min Pan, Hubei Normal University, China
* Kaizhu Huang, Duke Kunshan University, China

Publicity Chairs
* Hongzhi Kuai, Maebashi Institute of Technology, Japan
* Susmita Ghosh, Jadavpur University, India
* Ka-Chun Wong, City University of Hong Kong, Hong Kong, China

Publication Chair
* Hongzhi Kuai, Maebashi Institute of Technology, Japan

Liaison Chair
* Sirawaj Itthipuripat, KMUTT, Thailand

WIC Steering Committee Chairs
* Ning Zhong, Maebashi Institute of Technology, Japan
* Jiming Liu, Hong Kong Baptist University, HK, China

WIC Executive Secretary
* Xiaohui Tao, University of Southern Queensland, Australia

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“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

 

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