Vision Focus: Winter 2024

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Vision Focus
vision news May 2024

Miss the Winter edition of VISION focus magazine?

If you missed the Winter edition of VISION focus magazine fear not.  Here's a recap before the Spring edition drops next week.

EPFL says machine learning for certain vision apps ‘flawed’ – but it has developed a solution.

Lausanne’s EPFL has identified flaws in the training of machine learning systems – with significant implications for many activities that depend on artificial intelligence for classification, such as safeguarding video streaming content, self-driving vehicles, and surveillance. By rethinking the way that most AI systems protect against attacks, researchers at EPFL’s School of Engineering have now developed a new training
approach to ensure that machine learning models, particularly deep neural networks, will perform as intended (page 6).

Other editorial highlights include:

  • Edmund Optics names its 2023 Award winners
  • EPFL identifies flaw in the training of machine learning systems
  • Sheba Microsystems launches MEMS autofocus actuator for embedded vision cameras
  • Teledyne Flir expands Lepton thermal camera series
  • Novel 6MP SWIR sensors for defense, auto, and industrial vision markets
  • Color-based sensor to emulate skin’s sensitivity
  • First Light Imaging joins Oxford Instruments
  • Kernel Flow takes neuroimaging out of the lab and into society
  • imec presents new way to render colors with sub-micron pixel sizes
  • Stradvision unveils its new ‘3D Perception Network’ at CES 2024

Download your copy here and look out for the Spring edition next week.

VISION focus

Fastest Infrared Cameras on the market – from Photon Lines Ltd

Available from the shortwave to the very long wave infrared bands, Telops cameras can address a broad range of measurement applications.

With high sensitivity and temporal resolution the FAST cameras are perfect for analyzing dynamic events, as in ballistics, combustion or experimental mechanics experiments. The FAST cameras are also available in HD or Super HD formats in the midwave bands.

Want to know more: Click here.

Imaging in Challenging Lighting Conditions — A Better Way

Choosing just the right camera for a particular application can be difficult. Common cameras specifications that are normally considered include resolution and frame rate. However, lighting is an external factor that is potentially even more important to consider. This document highlights how high conversion gain (HCG) and low conversion gain (LCG) camera capabilities can be beneficial in challenging lighting conditions, along with examples of imaging applications where these challenges commonly occur.

Click here.

 

Free imec webinar on How SWIR spectral imaging-on-chip can advance your business

Witness firsthand how on-chip SWIR spectral imaging is poised to redefine industry standards and open doors to uncharted possibilities. Hosted on optics.org and presented Wouter Charle and Ash Prabala from imec Innovative on-chip filter technology is reshaping the landscape of spectral imaging, making the cameras more compact, real-time, power-efficient, and customizable. The technology makes them accessible even to those without specialized expertise in spectral imaging and data interpretation.

Catch up on this highly engaging webinar with live demo.  Click here.

High Performance Modular Imaging Systems

Easily configure, assemble, and integrate a system based on your unique specifications. Designed for factory floor automation and inspection, laboratory automation and OEM medical and industrial equipment makers. Motorized systems, illumination and controllers, microscope objectives and cameras are also available.

Click here for more.  

 

SUK
SPIE

CFP AIWDA workshop


The 1st International Workshop on AI and Web Data Analytics (AIWDA’2024)

www.udst.edu.qa/aiwda2024

to be held in conjunction with

The International Web Information Systems Engineering Conference

(WISE’2024)

 

Scope & Topics

The 1st International Workshop on AI and Web Data Analytics (AIWDA 2024) to be held in conjunction with The International Web Information Systems Engineering Conference (WISE’2024) is an excellent international forum to share knowledge and results in theory, techniques, and applications of recent developments of blending AI with Web Data Analytics. The workshop solicits contributions in major fields of AI, Web analytics, Data analytics, and social networks from theoretical and practical perspectives.

Authors are invited to contribute to the workshop by submitting papers that showcase research findings, innovative projects, surveys, work in progress, and industrial experiences that highlight significant advances in the following topics but not limited to:

o             Web data representation, mining, and discovery

o             Deep learning for Web data analytics

o             Mining and learning in Web data with missing information and noise

o             Explainable AI in Web data analytics

o             Responsible AI of Web technologies, standards, platforms and applications

o             AI algorithmic deployment on the Web

o             Social network data mining

o             Impact of misinformation and disinformation on Web data analytics

o             Privacy-enhancing technologies for Web data analytics

o             Efficiency and scalability of Web search engines

o             Multilingual and cross-lingual Web search

o             Natural language understanding for Web search

o             Large language models for search

o             Semantic Web, semantic models, knowledge graphs

o             LLMs for knowledge graphs

o             Influence propagation, information diffusion, and the prediction on networks (link prediction, node or subgraph prediction)

o             AI for personalized search and recommendations

o             Sentiment analysis and opinion mining

 

Paper Submission

Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer’s LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Information about the Springer LNCS format can be found at Springer. All papers should be submitted via Easychair. Make sure to select Workshop 1: AI and Web Data Analytics @ WISE-2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for the workshop. The proceedings of the workshop will be published by Springer LNCS. Selected papers from AIWDA 2024, after further revisions, could be published in the special issues of the following journals.

•              World Wide Web Journal, Springer, or

•              Data Science and Engineering, Springer.

 

Important Dates

Abstract Submission: August 24, 2024

Submission Deadline: August 31, 2024

Author Notification: September 30, 2024

Final Manuscript Due: October 15, 2024

 

 

The 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology

 

The 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology

https://www.wi-iat.com/wi-iat2024/index.html

https://www.wi-iat.com/wi-iat2024/Participant-Submission.html

 

Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web's entities, phenomena, and developments.

Web Intelligence and Intelligent Agent Technology (WI-IAT) aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with collective intelligence, data science, human-centric computing, knowledge management, network science, autonomous agents and multi-agent systems. It is committed to addressing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of intelligent technologies. WI-IAT'24 provides a premier forum and features high-quality, original research papers and real-world applications in all theoretical and technology areas that make up the field of Web Intelligence and Intelligent Agent Technology. WI-IAT'24 welcomes research, application as well as Industry/Demo paper submissions. Tutorial, Workshop and Special-Session proposals and papers are also welcome. WI-IAT'24 in Bangkok (Thailand) is officially sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII) and Web Intelligence Consortium (WIC).

WI-IAT'24 will provide a broad forum that 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. 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 of Everything, and emerging FAccT in WI-IAT. Therefore, “Web Intelligence = AI in the Connected World”.

 

The WI-IAT'24 solicits high-quality original research. Relevant topics include but are not limited to:

•  Track 1: Web of People

•  Track 2: Web of Data

•  Track 3: Web of Things

•  Track 4: Web of Trust

•  Track 5: Web of Agents

•  Special Track: FAccT in WI – IAT

 

Important dates (Anywhere on Earth):

 

•  July 15, 2024: Papers Submission (Main Conference)

•  August 30, 2024: Paper Acceptance Notification (Main Conference)

 

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). Industry and Demo papers must specify “industry” or “demo” in their title, and they are limited to 4 pages including references. Submitted papers will undergo a peer review process, coordinated by the International Program Committee. Accepted papers will be published in the conference proceedings by IEEE and submitted to EI. Selected WI-IAT'24 papers will be further invited for expansion and publication in Web Intelligence journal and other international journals. Detailed submission guidelines can be found at https://www.wi-iat.com/wi-iat2024/Participant-Submission.html

 

 

 

 

Thanks for attention.

Kind Regards,

Ka-Chun

Workshop @ DIS’24 Technology Assemblages in the Age of Generative AI

Dear All, we invite you to this exciting workshop as part of the ACM Designing Interactive Systems (DIS) 2024 Conference on July 1-5, with a workshop date of July 2.

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI

Generative AI capabilities are rapidly transforming how we perceive, interact with, and relate to machines. This one-day workshop invites HCI researchers, designers, and practitioners to imaginatively inhabit and explore the possible futures that might emerge from humans combining generative AI capabilities into everyday technologies at a massive scale. Workshop participants will craft stories, visualizations, and prototypes through scenario-based design to investigate these possible futures, resulting in the production of an open-annotated scenario library, and a journal or interactions article to disseminate the findings. We aim to gather the DIS community knowledge to explore, understand, and shape the relations this new interaction paradigm is forging between humans, their technologies and the environment in safe, sustainable, enriching, and responsible ways. 
HOW TO SUBMIT YOUR SCENARIO-BASED DESIGN (no position papers are required)
Applicants are invited to craft a scenario-based design using the design pack available for download on the website to apply to join the workshop.

We have created an easy step-by-step design pack to support you in developing a scenario by engaging with one of the workshop themes, utilising the scenario ingredients, and reflecting on the process. We invite you to download, complete, and submit the design pack. 

The accepted scenarios will be part of an open scenario library to disseminate the workshop's findings. This library will be published on this website for public reference under a Creative Commons License (Attribution 4.0 International). 
During the final two hours of the workshop, we will draw on the insights from the morning and early afternoon sessions in a guided tour through the Future is Present exhibition at the Design Museum Denmark, examining the scenarios and relationships hinted at by the exhibited artifacts. This activity will offer an opportunity to apply and extend the workshop's insights. The day will conclude with a reflection session on these experiences over dinner, enriching our understanding of designing for this new paradigm's potential in everyday life. 
For more details, please go to: 
IMPORTANT DATES 
Submission deadline for scenarios: June 10 AoE
Notification: June 14 AoE 
Workshop date and duration: July 2, 9:30 a.m. – 5 p.m. 
Thank you, 
Josh Andres Australian National University Australia 
Chris Danta Australian National University Australia 
Andrea Bianchi KAIST Korea 
Sungyeon Hong Australian National University Australia 
Zhuying Li Southeast University China 
Eduardo Benitez Sandoval University of New South Wales Australia Charles 
Patrick Martin Australian National University Australia 
Ned Cooper Australian National University Australia

University of Udine, Italy Months Research Fellow Position – Object Tracking in First-Person and Third-Person Videos

Dear colleagues,
We are seeking one highly motivated researcher for a fully funded research fellowship position (Italian Assegno di Ricerca – Post-Doc Equivalent) on topics related to Object Tracking in Egocentric Vision.
 
The candidate will join the Machine Learning and Perception Lab (MLP Lab), at the University of Udine, Italy under the supervision of Prof. Christian Micheloni and Dr. Matteo Dunnhofer.
 
The position is in topics related to a recently funded PRIN project: EXTRA-EYE, with specific focus on developing object tracking algorithms for first-person egocentric and third-person videos. More details are in the following:
 
Position – Design and Development of Object Tracking Algorithms for localisation across First-Person and Third-Person Views
Position: Research Fellow (post-doc equivalent)
Location: University of Udine, Udine, Italy
Application Deadline: May 28, 2024 at 2:00 pm (Italian time)
Duration: 14 Months
Research Topics: Tracking objects in first-person view is notoriously challenging, and EXTRA-EYE aims to pioneer a solution. Our approach involves integrating state-of-the-art deep learning architectures for third-person-view (TPV) tracking with first-person-view (FPV) specific cues, such as the position of the user's hands. The project will establish correspondences between scenes captured in the FPV and TPV streams, creating a holistic, robust, and efficient tracking approach capable of real-time tracking across multiple dynamic and static cameras. 
Link to the project’s website: https://sites.google.com/view/extraeye/home
  
Admission Criteria
To participate in the call, a master’s degree in computer science or computer science engineering is required. A PhD is not required, but strongly recommended. Previous background in Computer Vision and Deep Learning is also strongly recommended.
 
About the Laboratory
The MLP research group mainly focuses on the development of research in Computer Vision and Deep Learning for Object Tracking and Re-Identification, and Distributed Camera Systems. The group has 6+ members.
 
The MLP group has a track record of previous publications in prestigious venues (CVPR, ICCV, ECCV, TPAMI, IJCV, …) and several research projects on both fundamental and application-oriented research, in collaboration with several industrial and academic partners. 
 
The group aims to provide its members a friendly environment with strong supervision, in which individuals can grow and let their full potential flourish. We regularly organize group meetings and gatherings outside the lab to keep the team motivated and encourage a good work culture.
  
 
Please feel free to share this opportunity with anyone who might be interested. We appreciate your assistance in reaching out to potential candidates.
 
Christian Micheloni, University of Udine
Matteo Dunnhofer, University of Udine

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