ICASSP 2024 SP Grand Challenge on Hyperspectral Skin Vision: Can Your Camera See beyond Your Skin?

October 4th, 2023 Daniela Lopez de Luise

ICASSP 2024 SP Grand Challenge on

Hyperspectral Skin Vision: Can Your Camera See Beyond Your Skin?

Introducing ICASSP 2024 SPGC competition aiming to reconstruct skin spectral reflectance in the visible (VIS) and near-infrared (NIR) spectral range from RGB images captured by everyday cameras offers a transformative approach for cosmetic and beauty applications. By reconstructing the skin spectral reflectance in both VIS and NIR spectra, this competition aims to provide rich hyperspectral information accessible on consumer devices. With the reconstructed skin spectral, we pave the way for creating personalized beauty and skincare solutions directly through consumers' smartphones and other accessible devices. To democratize skin analysis and advance beauty technology, this competition invites computer vision researchers, machine learning experts, and cosmetic professionals to participate in skin spectral reconstruction, making personalized beauty and skincare accessible.

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CFP: Workshop on AI and AR/VR for Exergaming (AIVR4Exergame) Co-located with 6th IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR 2024) at USC Institute of Creative Technologies, Los Angeles, CA, USA

October 4th, 2023 Daniela Lopez de Luise
IEEE Workshop on AI and AR/VR for Exergaming (AIVR4Exergame)
Co-located with 6th IEEE International Conference on Artificial Intelligence &
extended and Virtual Reality (AIxVR 2024)
Location: USC Institute of Creative Technologies, Los Angeles, CA, USA

Submission Deadline: November 9, 2023
Notification: November 30, 2023
Camera-Ready: December 8, 2023
Workshop: January 17-19, 2024

Workshop proceedings will be published by the IEEE Computer Society Press and
included in the IEEE Xplore Digital Library.

Full submission details are available on the website:
https://tars.clarkson.edu/AIVR4Exergame2024
============================

======== WORKSHOP OVERVIEW =====
AI-enabled AR/VR-based exergames have the potential to enable a broader
spectrum of users to participate in rehabilitative and fitness activities in
immersive social environments that provide continual feedback to improve
performance and incentivize continued usage. However, consumer grade AR/VR
systems do not yet have the full capabilities needed to realize exergaming at
scale. These challenges include, but are not limited to AI feedback algorithms
that can run on untethered systems, long-term usage comfort due to system
bulkiness, inability to simulate real-world attributes such as weight and
resistance, novel exercise routine generation, and multi-user latency.
=============================

======== WORKSHOP FORMAT =======
The half-day Workshop on AI and AR/VR for Exergaming (AIVR4Exergame) will
consist of a keynote, juried paper presentations, a panel discussion, and a
research demo session from Delsys/Altec Research (Natick, MA, USA).
=============================

======== TOPICS OF INTEREST =======
+ Design of exergames to facilitate long-term continued usage
+ Design of AI algorithms that provide closed-loop feedback to enable
continued usability
+ Design of AI algorithms for assessing and correcting virtual interactions
for safe usage
+ Design of AI algorithms to generate novel exercise routines
+ Simulating the real-world in AR/VR (e.g., weight, friction, resistance)
+ AI techniques for movement tracking using smartphone sensors for smartphone-
based AR/VR exergaming
+ Incorporating haptics and biofeedback to ensure safe interactions in
immersive AR/VR environments
+ Effectiveness of AI-enabled AR/VR-based exergaming through results from case
studies
+ Emergent hardware platforms to enable broader uptake of AR/VR-based
exergames
+ Long term physical and psychological effects of exergaming in AR/VR
+ Ethical considerations for use of AI for AR/VR-based exergaming
+ Co-located and remote social environments for AR/VR exergaming
+ Designing rehabilitative AR/VR exergames for children, older adults, and
individuals with disabilities
+ AR/VR-based tele-rehab server platform to connect participants from remote
locations
=============================

======= VENUE AND DATES =========
The workshop will be co-located with the IEEE AIxVR conference and will take
place from January 17-19, 2024 at the USC Institute of Creative Technologies
in Los Angeles, CA, USA. Remote participation options will be provided for
those who cannot attend in person.
=============================

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ADAPT Sim2Real object perception challenge now open

October 4th, 2023 Daniela Lopez de Luise

H2020 METRICS project is organizing a Sim2Real object perception challenge in the field of agile production.

In the challenge, the task is to detect and recognize different parts of a gear assembly system and to estimate their position and orientation. The goal here is to assess the performance of detection, classification and pose-estimation algorithms that have limited access to real data during the training phase. Participants can use the provided CAD models of these parts to develop and train their algorithms. The actual test phase however, will be done using real images of the actual objects.

 

The challenge is part of the ADvanced Agile ProducTion (ADAPT) competition and will be hosted on codalab.

Participation is open to the public, as individuals or teams: https://metricsproject.eu/agile-production/2nd-cascade-campaign-2023/

The challenge consists of two consecutive phases:
Validation Phase:              27/09/2023 – 05/11/2023
Test Phase:                          06/11/2023 – 17/11/2023

To participate:
Object detection: https://codalab.lisn.upsaclay.fr/competitions/15873

Pose estimation: https://codalab.lisn.upsaclay.fr/competitions/15874

 

For more information, please contact agile.production(a)metricsproject.eu

ADAPT (Advanced Agile ProDuction) is part of the METRICS project funded by the European Union’s Horizon 2020 research and innovation program.
METRICS is dedicated to evaluation campaigns (both field and cascade challenges) to assess the technological maturity of robotic and Artificial Intelligence (AI) systems for four different sectors. The project is coordinated by the French national laboratory for metrology and testing (LNE) in partnership with sixteen European organizations.

 

 

Dr. Roel Pieters, Associate Professor

Cognitive Robotics

Faculty of Engineering and Natural Sciences,

Automation Technology and Mechanical Engineering

Tampere University, Finland

+358 50 447 8347

email: roel.pieters(at)tuni.fi

https://research.tuni.fi/cogrob

 

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Special Issue in IEEE GRSL: Machine Learning in Remote Sensing towards SDGs

October 4th, 2023 Daniela Lopez de Luise
Dear Colleagues,

The Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE GRSS invites contributions for the special stream (issue) on 'Machine Learning in Remote Sensing towards Sustainable Development Goals (SDGs)” in IEEE Geoscience and Remote Sensing Letters (Impact Factor: 4.8) . The special issue will include, but will not be limited to, the following topics:

● Zero Hunger (SDG 2): Monitoring of agricultural lands, Crop Type Mapping, Delineation of agriculture field boundaries, crop classification, Estimating crop yield, Land Use – Land Cover Classification, Land use –Land cover change detection
● Good Health and Well-Being (SDG 3): Forecast/Monitoring the spread of diseases, such as malaria, dengue, etc, Eradication of Diseases in Poor Countries, and actions for reaching Global Health based on machine learning and remote sensing techniques
● Sustainable Cities and Communities (SDG 11): Monitoring Urban Settlements through Multi-modal Remote Sensing Image Analysis, Building Segmentation, Road Network Extraction, and Coastal Plain Wetland Classification.
● Climate Action (SDG 13): Machine Learning for climate change mitigation, Machine learning for climate change adaptation
● Life on Land (SDG 15): Sustainable forest management, detection, monitoring, and forecasting of natural disasters (Wildfires, Floods, Landslides, etc.)., wildlife conservation.
● Any other application of machine learning for remote sensing images with a clear contribution to one of the SDGs

All submissions will be peer-reviewed according to the IEEE GRSL guidelines. Submitted articles should not have been published or be under review elsewhere. Submit your manuscript on mc.manuscriptcentral.com/grsl, using the Manuscript Central interface, and select the “Special Stream on Machine Learning in Remote Sensing towards the Sustainable Development Goals” manuscript type.

The submission deadline is 31st October 2023. 

We look forward to hearing from you. 
Kind Regards,
Ujjwal Verma, Dalton Lunga, Ronny  Hänsch, Silvia Liberata Ullo and Claudio Persello (Guest Editors)

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Cromatografía en AADECA

October 3rd, 2023 Daniela Lopez de Luise
  Próximo curso en AADECA
“Estos Cursos se pueden presentar al Programa de Crédito Fiscal
para capacitación PYME del Ministerio de Desarrollo Productivo de la Nación”
AADECA
 

Cromatografía 

24, 25 y 26 de Octubre de 17:00 a 19:00 hs 
Por Gabriel Asaad

La palabra Cromatografía significa “Escribir en Colores” ya que cuando fue desarrollada los componentes separados eran colorantes. Los componentes de una mezcla pueden presentar una diferente tendencia a permanecer en cualquiera de las fases involucradas. Mientras más veces los componentes viajen de una fase a la otra (partición) se obtendrá una mejor separación.
Las técnicas cromatográficas se basan en la aplicación de la mezcla en un punto . 

Temario

  • 1 Introducción
    – Los Métodos de Separación
    – Filtración
    – Decantación
    – Evaporación
    – Cristalización
     
  • 2 Instrumentación
    – 2.1 Gas portador
    – 2.2 Sistema de inyección de muestra
    – 2.3 Columnas y sistemas de control de temperatura
    – 2.4 Detectores
    – 2.5 Columnas y tipos de fases estacionarias
     
  • 3 Aplicaciones
     
  • 4 Referencias
Más Información  Descargar PDF

 

 

 

Gabriel Asaad

Asesor en la empresa Weisz Instrumentos

 

– Implementación de Innovación tecnológica
 – Resolución de conflictos
– Liderazgo
– Administración y organización del tiempo
– Capacitación y Formación de equipos de trabajoProject Manager de Energías Renovables 

–

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