From BoW to CNN
Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in […]
Micro-expression recognition with small sample size by transferring long-term convolutional neural network
Micro-expression is one of important clues for detecting lies. Its most outstanding characteristics include short duration and low intensity of movement. Therefore, […]
Deep Binary Representation of Facial Expressions
Automatic pain assessment is crucial in clinical diagnosis. Experiencing pain causes deformations in the facial structure resulting in different spontaneous facial expressions. […]
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features
Automatically generating a summary of a sports video poses the challenge of detecting interesting moments, or highlights, of a game. Traditional sports […]
Learning visual and textual representations for multimodal matching and classification
Multimodal learning has been an important and challenging problem for decades, which aims to bridge the modality gap between heterogeneous representations, such […]
Deep & Deformable
Deep Convolutional Neural Networks (DCNNs) are currently the method of choice for tasks such that objects and parts detections. Before the advent […]
Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences
Machine learning algorithms for the analysis of time-series often depend on the assumption that utilised data are temporally aligned. Any temporal discrepancies […]