Our Research

Current Projects

Child Sexual Abuse Material (CSAM) Detection

Child Sexual Abuse Material (CSAM) Detection

This project proposes the exploration of visual cues for the detection of Child Sexual Abuse ...
Dense Labeling of Remote Sensing Images in the Wild

Dense Labeling of Remote Sensing Images in the Wild

This project address the challenges for the effective use of supervised learning in dense pixel ...
Pattern recognition using small annotated data sets

Pattern recognition using small annotated data sets

This project proposes the development of new approaches to deal with pattern recognition in ...

Past Projects

AI Methodologies For  Environmental Monitoring

AI Methodologies For Environmental Monitoring

This research project aims to develop methodologies in the selection process of audit objects ...
Diagnosis Aid Using Chest X-Ray and Deep Learning

Diagnosis Aid Using Chest X-Ray and Deep Learning

The CADCOVID-19 project aims to develop an online system to assist in the diagnosis of COVID-19 ...
Automatic Thematic Maps Using Multiple Sensors

Automatic Thematic Maps Using Multiple Sensors

Geographic Information Systems (GIS) are automated systems whose purpose is to store, analyze and ...
Deep Representations for Large-Scale Geo-Mapping

Deep Representations for Large-Scale Geo-Mapping

This project aims to address the problem of pattern recognition for the creation of thematic maps ...
Artificial Intelligence Systems for External Control

Artificial Intelligence Systems for External Control

As políticas de proteção ambiental e climática requerem complexas estruturas de governança ...

Partners

Our team has conducted/participated in various consulting and R&D activities with companies and important public institutions. We have also wide experience in Continuing Education Programs (extension school) for industry professionals.

News

📢🌳🛰️Happy that the first of our two papers on mapping deforestation and degradation using #PlanetNICFI and #deeplearning is out!

On this one, we train a U-Net to segment tree cover and obtain #deforestation maps at 5-m resolution every 6 months from 2016-2021 at Mato Grosso. https://twitter.com/FabienWagner/status/1615235092795871232

Details are posted for the 1st Machine Learning for Remote Sensing Workshop to be hosted at @iclr_conf, May 5 in Kigali. We look forward to your submissions and participation. See you in Kigali! #ICLR2023
- Website: https://nasaharvest.github.io/ml-for-remote-sensing/iclr2023
- Submission deadline: Feb 3, 2023 https://twitter.com/hannah_kerner/status/1597329114327056384

"If the community feels that aiming to solve high-impact real-world problems with machine learning is of limited significance, then what are we trying to achieve?"

https://www.technologyreview.com/2020/08/18/1007196/ai-research-machine-learning-applications-problems-opinion/

🚨 Inscrições abertas para o Mestrado 2023

✨Fique atento! Estamos apresentando áreas de pesquisa e projetos.

🚀Saiba mais: http://ppgcc.dcc.ufmg.br
.
#mestrado #ppgcc #dccufmg #pesquisa #inscricoesabertas
.
🔗 https://linktr.ee/dccufmg

Load More...
Top