Sentiment analysis aims to automatically uncover the underlying attitude that we hold
towards an entity. The aggregation of these sentiment over a population represents opinion …

We present a new loss function, namely Wing loss, for robust facial landmark localisation
with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …

We present a novel learning-based framework for face reenactment. The proposed method,
known as ReenactGAN, is capable of transferring facial movements and expressions from …

Continuous dimensional models of human affect, such as those based on valence and
arousal, have been shown to be more accurate in describing a broad range of spontaneous …

Political viewpoints identification (PVI) is a task in Natural Language Processing that takes
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …

We consider the task of automated estimation of facial expression intensity. This involves
estimation of multiple output variables (facial action units---AUs) that are structurally …

Deep convolutional neural networks (CNNs) provide an effective tool to extract complex
information from images. In the area of image polarity detection, CNNs are customarily …

In the context of fake news, bias, and propaganda, we study two important but relatively
under-explored problems:(i) trustworthiness estimation (on a 3-point scale) and (ii) political …

The intensity estimation of facial action units (AUs) is challenging due to subtle changes in
the person's facial appearance. Previous approaches mainly rely on probabilistic models or …

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) …