Matching person images between the daytime visible modality and night-time infrared
modality (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Existing …

Video captioning has been attracting broad research attention in the multimedia community.
However, most existing approaches heavily rely on static visual information or partially …

Multispectral pedestrian detection is an emerging solution with great promise in many
around-the-clock applications, such as automotive driving and security surveillance. To …

Cross-camera label estimation from a set of unlabeled training data is an extremely
important component in the unsupervised person re-identification (re-ID) systems. With the …

The aspect ratio of a target changes frequently during an unmanned aerial vehicle (UAV)
tracking task, which makes the aerial tracking very challenging. Traditional trackers struggle …

With a large number of video surveillance systems installed for the requirement from
industrial security, the task of object tracking, which aims to locate objects of interest in …

In this paper, we present a novel supervised cross-modal hashing framework, namely
Scalable disCRete mATrix faCtorization Hashing (SCRATCH). First, it utilizes collective …

In this paper, we propose a novel feature learning framework for video person re-
identification (re-ID). The proposed framework largely aims to exploit the adequate temporal …

Image emotion recognition aims to automatically categorize the emotion conveyed by an
image. The potential of deep representation has been demonstrated in recent research on …

This paper considers person re-identification (re-ID) in the case of long-time gap (ie, long-
term re-ID) that concentrates on the challenge of clothes variation of each person. We …