-------- Forwarded Message --------
| Subject: | Fwd: Deep Learning for Image Understanding - Microsoft Research |
|---|---|
| Date: | Wed, 14 Feb 2018 14:58:29 -0300 |
| From: | Martín Rocamora <rocamora@fing.edu.uy> |
| To: | Leonardo Steinfeld Volpe <leo@fing.edu.uy> |
---------- Forwarded message ----------
From: Martín Rocamora <rocamora@fing.edu.uy>
Date: 2018-02-14 14:55 GMT-03:00
Subject: Deep Learning for Image Understanding - Microsoft Research
To: todos_iie@fing.edu.uy
Bio:
Leonardo Nunes is the lead researcher of Microsoft’s Advanced Technology Labs in Brazil where he investigates algorithms for real-time video understanding and event detection. He received his B.Sc. degree in electronics and computer engineering and his M.Sc. and D.Sc. degrees in electrical engineering, from the Federal University of Rio de Janeiro (UFRJ). Dr. Nunes research focus in signal processing and machine learning, with special focus in audio and video signals, and computationally efficient methods. Prior to working to Microsoft, he was a substitute professor at the Federal University of Rio de Janeiro and a principal scientist with Halliburton’s Applied Photonics Center. He received a top 10% award from the IEEE Workshop on Multimedia Signal Processing in 2009. Dr. Nunes is an IEEE member.
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From: Martín Rocamora <rocamora@fing.edu.uy>
Date: 2018-02-14 14:55 GMT-03:00
Subject: Deep Learning for Image Understanding - Microsoft Research
To: todos_iie@fing.edu.uy
Este
es un recordatorio de la charla del Dr. Leonardo Nunes que tendrá lugar
el próximo lunes 19/02, a las 16 hrs, en el salón 502 (azul) de
Facultad de Ingeniería.
Agradecemos la mayor difusión y los esperamos.
Saludos!
En los próximos días tendremos la visita del Dr. Leonardo Nunes de Microsoft’s Advanced Technology Labs, Rio de Janeiro (con motivo de la defensa de maestría de Juan Pablo Braga).
Aprovecharemos su visita para que dicte dos charlas, que se describen a continuación. También presentará un programa de pasantías para estudiantes de posgrado que tiene el laboratorio.
Deep
Learning for Image Understanding (40 min):
lunes 19/02, 16 hrs
salón 502 - Azul
In this lecture, a brief introduction to deep learning is performed using image understanding to motivate and illustrate possible applications. Initially, different image understanding tasks will be presented, then an introduction to deep neural network image classification is described, as well as some of the most popular layers and architecures for image classification. At the end, a more advanced architectures for object localization will be detailed as well as an example of how the architectures shown can be extended to different domains, such as audio classification.
In this lecture, a brief introduction to deep learning is performed using image understanding to motivate and illustrate possible applications. Initially, different image understanding tasks will be presented, then an introduction to deep neural network image classification is described, as well as some of the most popular layers and architecures for image classification. At the end, a more advanced architectures for object localization will be detailed as well as an example of how the architectures shown can be extended to different domains, such as audio classification.
Leonardo Nunes is the lead researcher of Microsoft’s Advanced Technology Labs in Brazil where he investigates algorithms for real-time video understanding and event detection. He received his B.Sc. degree in electronics and computer engineering and his M.Sc. and D.Sc. degrees in electrical engineering, from the Federal University of Rio de Janeiro (UFRJ). Dr. Nunes research focus in signal processing and machine learning, with special focus in audio and video signals, and computationally efficient methods. Prior to working to Microsoft, he was a substitute professor at the Federal University of Rio de Janeiro and a principal scientist with Halliburton’s Applied Photonics Center. He received a top 10% award from the IEEE Workshop on Multimedia Signal Processing in 2009. Dr. Nunes is an IEEE member.
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Martín Rocamora
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Universidad de la República, Facultad de Ingeniería
Instituto de Ingeniería Eléctrica, Departamento de Procesamiento de Señales
(598) 2 711 0974 ext. 1214 http://iie.fing.edu.uy/
-
http://iie.fing.edu.uy/~rocamora/
Martín Rocamora
-
Universidad de la República, Facultad de Ingeniería
Instituto de Ingeniería Eléctrica, Departamento de Procesamiento de Señales
(598) 2 711 0974 ext. 1214 http://iie.fing.edu.uy/
-
http://iie.fing.edu.uy/~rocamora/