Home » Charlas Profesores Invitados » Charlas de Leonardo Nunes : “Deep learning for image understanding” y “Real-time video understanding”

Charlas de Leonardo Nunes : “Deep learning for image understanding” y “Real-time video understanding”

Lunes 19 de febrero 16:00hs, Salón Azul (piso 5, salón 502) – Facultad de Ingeniería, J. Herrera y Reissig 565

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : “Deep learning for image understanding” por Leonardo Nunes

Abstract :

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.

Martes 20 de febrero 09:00hs, Sala de reuniones de ICT4V, Av Italia 6201 – Edificio Los Nogales

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : “Real-time video understanding” por Leonardo Nunes

Abstract :

In this lecture the work being performed by Microsoft’s Advanced Technology Labs in Rio de Janeiro, Brazil will be described. In particular, recent advances in real-time video understanding for event detection on the cloud will be detailed, with the processing pipeline being presented as well as a top-down view of the whole system architecture running on the cloud. Finally, real world examples and use cases will be shown.

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.