Compared with person reidentification, which has attracted concentrated attention, vehicle
reidentification is an important yet frontier problem in video surveillance and has been …

Current state-of-the-art object detection and segmentation methods work well under the
closed-world assumption. This closed-world setting assumes that the list of object categories …

Benefiting from large-scale vision-language pre-training on image-text pairs, open-world
detection methods have shown superior generalization ability under the zero-shot or few …

In this paper, we address the problem of spatio-temporal person retrieval from videos using
a natural language query, in which we output a tube (ie, a sequence of bounding boxes) …

Existing visual tracking methods face many challenges: 1) the changed size and number of
targets over time, occlusion in discrete frames, and mis-identification for crossing targets …

Online video sharing (eg, via YouTube or YouKu) has emerged as one of the most important
services in the current Internet, where billions of videos on the cloud are awaiting …

In this review paper a number of studies and researches are surveyed, in order to assist the
upcoming researchers, to know about the techniques available in the field of semantic …

Object detection is an important research problem in computer vision. Convolutional Neural
Networks (CNN) based deep learning models could be used for this problem, but it would …

We investigate the effect of appearance variations on the detectability of vibration feature
extraction with pixel-level digital filters for high-frame-rate videos. In particular, we consider …

In this paper, we study the challenge of image‐to‐video retrieval, which uses the query
image to search relevant frames from a large collection of videos. A novel framework based …