Multiview data clustering attracts more attention than their single-view counterparts due to
the fact that leveraging multiple independent and complementary information from multiview …

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 …

The proliferation of social media in communication and information dissemination has made
it an ideal platform for spreading rumors. Automatically debunking rumors at their stage of …

Video-based person re-identification (re-id) is a central application in surveillance systems
with a significant concern in security. Matching persons across disjoint camera views in their …

In this paper, we propose a novel deep generative approach to cross-modal retrieval to
learn hash functions in the absence of paired training samples through the cycle consistency …

Music genre classification based on visual representation has been successfully explored
over the last years. Recently, there has been increasing interest in attempting convolutional …

The widespread use of online recruitment services has led to an information explosion in the
job market. As a result, recruiters have to seek intelligent ways for Person-Job Fit, which is …

Low light images captured in a non-uniform illumination environment usually are degraded
with the scene depth and the corresponding environment lights. This degradation results in …

The recent advances of hardware technology have made the intelligent analysis equipped
at the front-end with deep learning more prevailing and practical. To better enable the …

Person re-identification (re-id) aims to match pedestrians observed by disjoint camera views.
It attracts increasing attention in computer vision due to its importance to surveillance …