With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

In this work, we introduce a novel feature-attentioned object detection framework to boost its
performance in remote sensing imagery, which can focus on learning these intrinsic …

In the past three years, Emotion Recognition in the Wild (EmotiW) Grand Challenge has
drawn more and more attention due to its huge potential applications. In the fourth …

Efficient and robust facial landmark localisation is crucial for the deployment of real-time face
analysis systems. This paper presents a new loss function, namely Rectified Wing (RWing) …

Effective data augmentation is crucial for facial landmark localization with convolutional
neural networks (CNNs). In this letter, we investigate different data augmentation techniques …

The new cascaded shape regression architecture proposed in this paper is actually an
algorithm by Component Adaptive Mechanism (CAM) to cope with unconstrained face …

A big, diverse and balanced training data is the key to the success of deep neural network
training. However, existing publicly available datasets used in facial landmark localization …

A big, diverse and balanced training data is the key to the success of deep neural network
training. However, existing publicly available datasets used in facial landmark localization …

Traditional face alignment based on machine learning usually tracks the localizations of
facial landmarks employing a static model trained offline where all of the training data is …