Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
A review on automatic facial expression recognition systems assisted by multimodal sensor data
N Samadiani, G Huang, B Cai, W Luo, CH Chi, Y **_with_Few_Data_and_the_Training_Sample_Order/links/59de17110f7e9bec3bae1295/Facial-Expression-Recognition-with-Convolutional-Neural-Networks-Co**-with-Few-Data-and-the-Training-Sample-Order.pdf" data-clk="hl=el&sa=T&oi=gga&ct=gga&cd=4&d=900747795707007502&ei=tvuqZ8X-HezDieoP2tyjoAc" data-clk-atid="DhJVC1kZgAwJ" target="_blank">[PDF] researchgate.net
Facial expression recognition with convolutional neural networks: co** with few data and the training sample order
Facial expression recognition has been an active research area in the past 10 years, with
growing application areas including avatar animation, neuromarketing and sociable robots …
growing application areas including avatar animation, neuromarketing and sociable robots …
Spatial–temporal recurrent neural network for emotion recognition
In this paper, we propose a novel deep learning framework, called spatial–temporal
recurrent neural network (STRNN), to integrate the feature learning from both spatial and …
recurrent neural network (STRNN), to integrate the feature learning from both spatial and …
[PDF][PDF] Joint fine-tuning in deep neural networks for facial expression recognition
Temporal information has useful features for recognizing facial expressions. However, to
manually design useful features requires a lot of effort. In this paper, to reduce this effort, a …
manually design useful features requires a lot of effort. In this paper, to reduce this effort, a …
Former-dfer: Dynamic facial expression recognition transformer
This paper proposes a dynamic facial expression recognition transformer (Former-DFER) for
the in-the-wild scenario. Specifically, the proposed Former-DFER mainly consists of a …
the in-the-wild scenario. Specifically, the proposed Former-DFER mainly consists of a …
Image based static facial expression recognition with multiple deep network learning
We report our image based static facial expression recognition method for the Emotion
Recognition in the Wild Challenge (EmotiW) 2015. We focus on the sub-challenge of the …
Recognition in the Wild Challenge (EmotiW) 2015. We focus on the sub-challenge of the …
Facial expression recognition based on deep evolutional spatial-temporal networks
One key challenging issue of facial expression recognition is to capture the dynamic
variation of facial physical structure from videos. In this paper, we propose a part-based …
variation of facial physical structure from videos. In this paper, we propose a part-based …