This work develops a continuous sign language (SL) recognition framework with deep
neural networks, which directly transcribes videos of SL sentences to sequences of ordered …

This paper presents a novel and efficient deep fusion convolutional neural network (DF-
CNN) for multimodal 2D+ 3D facial expression recognition (FER). DF-CNN comprises a …

Datasets play an important role in the progress of facial expression recognition algorithms,
but they may suffer from obvious biases caused by different cultures and collection …

Comprehending different categories of facial expressions plays a great role in the design of
computational model analyzing human perceived and affective state. Authoritative studies …

3D face reconstruction from a single image is an important task in many multimedia
applications. Recent works typically learn a CNN-based 3D face model that regresses …

Continuous gesture recognition aims at recognizing the ongoing gestures from continuous
gesture sequences and is more meaningful for the scenarios, where the start and end …

Emotion recognition based on facial expressions is very important for effective interaction of
humans with artificial intelligence (AI) systems such as social robots. On the other hand, in …

Reconstructinga 3D face from a single image is a crucial task in numerous multimedia
applications. Face images with ground-truth 3D face shapes are scarce, so unsupervised …

Creating and sustaining closed-loop dynamic and social interactions with humans require
robots to continually adapt towards their users' behaviours, their affective states and moods …

Hand gestures are the most natural and intuitive non-verbal communication medium while
interacting with a computer, and related research efforts have recently boosted interest …