ICC'2020 Final Result

Congratulations to all participants of the ICC'2020 , especially to the winning teams!

 

ICC'2020 Final Result

Ideark Awards go to

1. soundmap-1.jpg SOUNDMAP: is a smart wearable device, strapped around the chest, and equipped with a camera, able to provide real-time information on the surrounding environment of a person through Audio Augmented Reality. Similarly to the way we easily identify the position of whistling birds, we aim to scan in real-time the surrounding environment and produce directional sounds (through audio AR) in the earphones connected to the device. End-users would, therefore, be able to map and understand their environment.


2. g-express.jpg G'EXPRESS: short for Gesture Express, aims to bridge the gap between online teaching platform and user’s gesture expression, in order to bring more natural interaction during video communication. With the help of computer vision and deep learning, teacher and student’s gestures will be enhanced by triggering emoji, sound or animation in real-time video stream.




3. deep-image-priors.jpg DEEP IMAGE PRIORS: In this project, the team takes on a crucial question: can today's machine learning programs be trusted not to be fooled by ill-intentioned actors and algorithms? The team focuses on identifying ways to discriminate edited and tampered images from real ones, in order to tackle trust and reliability issues with current and future automated computer vision based applications which often have critical real-world consequences.



Special HealthTech Award by Groupe Mutuel go to

1. sound-map.jpg SOUNDMAP: is a smart wearable device, strapped around the chest, and equipped with a camera, able to provide real-time information on the surrounding environment of a person through Audio Augmented Reality. Similarly to the way we easily identify the position of whistling birds, we aim to scan in real-time the surrounding environment and produce directional sounds (through audio AR) in the earphones connected to the device. End-users would, therefore, be able to map and understand their environment.


2. cmir.jpg CMIR: In the medical field, images are produced in ever increasing quantities and used for diagnostics and therapy. Content–based handling of medical images could improve the process of clinical decision–making and the integration of content-based access methods into Picture Archiving and Communication Systems (PACS) have already been created. Pushing this idea to built a human-centered AI system could bring advances in diagnostics, teaching and research.



3. triage.jpg TRIAGE: The system for triage and prioritizing care in the medical emergency mostly follows the Manchester protocol, which organizes the patient service queues for medical care. Still, it can reverse priorities and put people's lives at risk. Therefore, we are proposing a new AI-based triage system that considers individual factors such as medical history, disease evolution from exams, genetics, real-time vital signs coming from wearables, besides contextual factors like local legislation, health plan, and age.