News

The last steering committee meeting was held on June 7th 2022. The progress of the project as well as follow-up actions were discussed.

Researchers from Computer Vision, Imaging and Machine Intelligence (CVI2) at the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg have organized a Workshop to present and discuss experiences from different initiatives involving AI and Education. Representatives from Scienteens, Luxembourg Tech School and FNR have participated to the event.

During the last session of the Entreprise mini-projects, the students presented the creative videos that they have prepared using Artificial Intelligence and Computer Vision tools. The winners have been elected and have been awarded Airpods.

Researchers from Computer Vision, Imaging and Machine Intelligence (CVI2) at the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg demonstrated their work at the Digital Hub Learning (DLH) launch event.

Researchers from Computer Vision, Imaging and Machine Intelligence (CVI2) at the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg demonstrated their work at LESC’s open day.

Researchers from Computer Vision, Imaging and Machine Intelligence (CVI2) at the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg are organizing mini-projects for LESC students. The projects aim at giving hands-on experience to the students. Through the projects, the students will use recent Artificial Intelligence and Computer Vision tools and will put in place a creative video. These mini-projects were integrated as part of the optional Entreprise course.  Each group of 2 students will work on one of the following topics: deepfakes, 3D body scan animation, 3D space environment simulation.

Researchers from the Computer Vision, Imaging and Machine Intelligence (CVI2) team at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, ran an interactive workshop on how to produce and interpret music with Artificial Intelligence (AI) and Computer Vision tools. Students could manipulate two demos, namely:

– Hear your body,  which generates a unique melody from a 3D body scan.

– Let’s dance, which animates a 3D body scan with a coherent dance given a chosen song.

They had also the opportunity to discuss with researchers and propose possible improvements.

Researchers from the Computer Vision, Imaging and Machine Intelligence (CVI2) research group of the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg, attended the Education Technology event organized by the SCRIPT Department of the Ministry of Education, Children & Youth and the House of Startups, in the presence of the Minister of Education, Claude Meisch. They demonstrated one of the workshops that were presented to students in LESC, namely, deepfake generation and detection.

The last workshop of the Entreprise course held in LESC focused on the topic of pose estimation. Dr. Arunkumar Rathinam and Dr. Leo Pauly, Research Associates at the Computer Vision, Imaging and Machine Intelligence (CVI2) research group of the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg, presented the current state of space exploration and future directions. Then, they explained the different stages of the pose estimation process, namely, satellite detection, 2D-3D correspondence, and pose calculation. Video demonstrations and live interactive tools were also presented.

During the 6^th  workshop of the Entreprise course held in LESC, Inder Pal Singh, PhD student from the Computer Vision, Imaging and Machine Intelligence (CVI2) at the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg introduced the field of data sonification and presented examples of real-world applications. Data sonification consists in generating meaningful sounds from data with the goal of facilitating their interpretation. The students used the online tool TwoTone to generate music from previously acquired 3D scans (body or object).

The 5^th workshop of the Entreprise course held in LESC was dedicated to the topic of deepfake generation and detection. Nesryne Mejri, PhD student at the Computer Vision, Imaging and Machine Intelligence (CVI2) research group of the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg presented an overview of existing techniques. She has demonstrated Realistic deepfakes and provided tricks for recognizing deepfakes with naked eyes. At the end of the session, the students have generated their own deepfake using the DeepFaceLive app. They have swapped their faces with celebrities’ faces such as Tom Cruise and Silvester Stalone.

For the 4^th workshop of the Entreprise course held at LESC, Dr. Laura Lopez Fuentes, Research Associate at the Computer Vision, Imaging and Machine Intelligence (CVI2)  research group of the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg has introduced basic concepts and tools for animating a 3D body model with a predefined movement or dance. At the end of the session, the students have used the online tool Mixamo for animating the acquired body scans.

The third workshop in the context of the Entreprise course held on November 29th and 30th, 2021 was dedicated to the introduction of 3D human body modelling concepts. Dr. Ali Sk Aziz and Dr. Anis Kacem, both Research Associates at the Computer Vision, Imaging and Machine Intelligence (CVI2) research group of the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg have scanned the 3D human body of the students using the booth. They have presented concepts related to the numerical analysis of 3D data such as meshes, texture, etc. Students had the opportunity to manipulate their own 3D scan using the software Meshlab. Meshlab is an open-source system for processing and editing 3D triangular meshes.

The second workshop in the context of the Entreprise course organized at LESC has been held on November 23rd, 2021. Dr. Anis Kacem, Research Associate at the Computer Vision, Imaging and Machine Intelligence (CVI2) research group of the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg has presented 3D imaging sensors that are used to scan objects. He has explained the different acquisition techniques. Finally, the students have scanned objects using the ARTEC Broadway scanner. The latter is a hand-held scanner often used to acquire 3D scans of objects.

Researchers from Computer Vision, Imaging and Machine Intelligence (CVI2) at the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg have organized 7 interactive workshops on the recent trends in Artificial Intelligence and Computer Vision at LESC. These workshops were integrated as part of the optional Entreprise course. The first workshop held on November 22nd, 2021 was an introductory session aiming to present the structure of the course. Basic concepts from computer vision and artificial intelligence were reviewed and discussed with the students. Then, real-world applications were presented and related to the proposed workshops.

Researchers from Computer Vision, Imaging and Machine Intelligence (CVI2) at the Interdisciplinary centre of Security, reliability and Trust (SnT), University of Luxembourg have organized a workshop on computer vision tools for rehabilitation at the private school of Notre-Dame Sainte-Sophie.

In the middle of forced home schooling, representatives from SCRIPT, LESC and SnT met to discuss new ways to adapt the deployment of Smart Schoul 2025 under the new reality of life in COVID times. The Smart Schoul 2025 platform will be used as a tool for remote access to AI within the class curriculum.

Computer Vision researchers from the Computer Vision, Imaging and Machine Intelligence (CVI2) team at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, ran an interactive workshop on recent tools in Artificial Intelligence (AI). This workshop was integrated as part of the “Technologies and Innovation” course. Students could exchange with researchers first-hand and learn the basics and principles of AI directly from the experts.

Since March 2020, just like for all schools in the country, LESC has started working in remote mode dealing with an exceptional global emergency situation. and operating in hybrid mode since end of May 2020. During this period, almost all extracurricular activities were suspended, including the Smart Schoul 2025 project. In the fall of 2020, exchanges between teachers and researchers have restarted intermittently and one Advisory Board meeting has taken place.

In the context of the SmartSchoul 2025 project, the Lycée Edward Steichen in Clervaux (LESC) has hosted the first computer vision workshop on the 15^th November. As part of the project, the computer vision researchers presented their work to multiple groups of students from the 7e GS2 and the 7e GS3 classes. Three different topics have been presented, namely:

• Acquisition and representation of the human body in 3D.
• Animation of 3D bodies and faces.
• Rehabilitation using computer vision.

In addition, the researchers have conducted some onsite demos followed by face-to-face discussion with the student. The goal is to trigger the curiosity of the students and boost their motivation towards new technologies.

In the context of the SmartSchoul 2025, the computer vision team from SnT will participate in the MakerFest event on the 8^th – 9^th of July, which will be hosted by The Lycée Edward Steichen in Clervaux (LESC). As part of the project, the 3D body scanner “Shapify” has been already installed at LESC. The scanner will be available for the students during the MakerFest event. The students will be able to use the scanner and further explore the obtained 3D body models. This will further trigger their curiosity and boost their motivations towards new technologies.