Person Re-identification (re-id) faces two major challenges: the lack of cross-view paired
training data and learning discriminative identity-sensitive and view-invariant features in the …

Visual question answering (VQA) is challenging, because it requires a simultaneous
understanding of both visual content of images and textual content of questions. To support …

Given the benefits of its low storage requirements and high retrieval efficiency, hashing has
recently received increasing attention. In particular, cross-modal hashing has been widely …

Most existing person re-identification algorithms either extract robust visual features or learn
discriminative metrics for person images. However, the underlying manifold which those …

Video captioning, in essential, is a complex natural process, which is affected by various
uncertainties stemming from video content, subjective judgment, and so on. In this paper, we …

Owing to the advantages of low storage cost and high query efficiency, cross-modal hashing
has received increasing attention recently. As failing to bridge the inherent modality gap …

In this paper, we focus mainly on designing a Multi-Target Object Tracking algorithm that
would produce high-quality trajectories while maintaining low computational costs. Using …

Most of the proposed person re-identification algorithms conduct supervised training and
testing on single labeled datasets with small size, so directly deploying these trained models …

We investigate the problem of person search in the wild in this work. Instead of comparing
the query against all candidate regions generated in a query-blind manner, we propose to …

Most existing multiview clustering methods take graphs, which are usually predefined
independently in each view, as input to uncover data distribution. These methods ignore the …