The goal of this paper is to review the state-of-the-art progress on visual tracking methods,
classify them into different categories, as well as identify future trends. Visual tracking is a …

A graph is one of important mathematical tools to describe ubiquitous relations. In the
classical graph theory and some applications, graphs are generally provided in advance, or …

Recently image question answering (ImageQA) has gained lots of attention in the research
community. However, as its natural extension, video question answering (VideoQA) is less …

Graph-based approaches have been successful in unsupervised and semi-supervised
learning. In this paper, we focus on the real-world applications where the same instance can …

With the development of web technology, multi-modal or multi-view data has surged as a
major stream for big data, where each modal/view encodes individual property of data …

Recently, convolutional neural network (CNN) visual features have demonstrated their
powerful ability as a universal representation for various recognition tasks. In this paper …

Image reranking is effective for improving the performance of a text-based image search.
However, existing reranking algorithms are limited for two main reasons: 1) the textual meta …

In this paper, a new unsupervised learning algorithm, namely Nonnegative Discriminative
Feature Selection (NDFS), is proposed. To exploit the discriminative information in …

View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …

Due to the popularity of social media websites, extensive research efforts have been
dedicated to tag-based social image search. Both visual information and tags have been …