A survey of deep facial landmark detection

Object Detection is a field of Artificial Intelligence associated with Digital Image Processing and Computer Vision, which deals with detecting instances of an object

Compared to CRFs, our strategy has several advan- tages (i) it does not requires any hand-crafted features since deep networks can model arbitrary complex func- tions from the RGB

Figure 1: Comparing prediction errors of facial shapes using a model built using 52 speech visemes (light gray) with one incorporating 102 additional expressemes (dark gray), for

In this paper, respecting deep architecture of the brain and spiking model of biological neural networks, we propose a spiking deep belief network to evaluate ability of the

As in both cameras facial expressions are the same, di ff erences in performances measured on each camera show the impact of head pose variations and large displacements on

Anti Spoofing Face Detection Technique based on Transfer Learning Convolutional Neural Networks and Real-Time Facial Landmark Detection*... Anti Spoofing Face Detection Technique

The French evaluation campaign EASy (Evaluation des Analyseurs Syntaxiques, see, (Vilnat & al, 2003 and 2004)) gave us the possibility to evaluate our parsers among

Video classification scores on the two dataset using image aggregation, with the Face2Face dataset compressed at rate 23.... Aggregation