Posts recentes

Como funcionam as redes neurais

Olá, tudo bem!? Amanhã, 30 de novembro, eu vou apresentar a palestra “Como funcionam as rdes neurais” no GDG Blumenau aqui em Blumenau, Santa Catarina. Os slides e exemplo da palestra estão disponíveis aqui. Aparece por lá para conferir e trocar uma ideia :D... [Continue lendo]

A normalização e o Gradient Descent

Vamos falar sobre machine learning. Estou [enfim] participando do MOOC do Andrew Ng, Ph. D. no Coursera e me deparei com a importância de normalizar os dados antes de efetuar a otimização do algoritmo de aprendizado. Não leve a mal, sei, há certo tempo, que é importante normalizar os valores de entrada para que o algoritmo tenha uma melhor, e mais rápida, convergência. Entretanto, nunca havia, ao menos até onde percebi, me deparado com o quanto esse pré-processamento implica no processo.... [Continue lendo]

Publicações recentes

  • AUMPNet: Simultaneous Action Units Detection and Intensity Estimation on Multipose Facial Images Using a Single Convolutional Neural Network in FG'17

    Abstract: This paper presents an unified convolutional neural network (CNN), named AUMPNet, to perform both Action Units (AUs) detection and intensity estimation on facial images with multiple poses. Although there are a variety of methods in the literature designed for facial expression analysis, only few of them can handle head pose variations. Therefore, it is essential to develop new models to work on non-frontal face images, for instance, those obtained from unconstrained environments. In order to cope with problems raised by pose variations, an unique CNN, based on region and multitask learning, is proposed for both AU detection and intensity estimation tasks... [Continue lendo]

  • Landmark-free smile intensity estimation in SIBGRAPI'16

    Abstract: Facial expression analysis is an important field of research, mostly because of the rich information faces can provide. The majority of works published in the literature have focused on facial expression recognition and so far estimating facial expression intensities have not gathered same attention. The analysis of these intensities could improve face processing applications on distinct areas, such as computer assisted health care, human-computer interaction and biometrics. Because the smile is the most common expression, studying its intensity is a first step towards estimating other expressions intensities... [Continue lendo]