The development of person search techniques has been greatly promoted in recent years for its superior practicality and challenging goals. Despite their significant progress, existing person search models still lack the ability to continually learn from ...

Text-based person search (TBPS) aims to search for the target person in the full image through textual descriptions. The key to addressing this task is to effectively perform cross-modality alignment between text and images. In this paper, we propose a ...

In this work, we construct a large-scale dataset for Ground-to-Aerial Person Search, named G2APS, which contains 31,770 images of 260,559 annotated bounding boxes for 2,644 identities appearing in both of the UAVs and ground surveillance cameras. To our ...

Person search is an integrated task of multiple sub-tasks such as foreground/background classification, bounding box regression and person re-identification. Therefore, person search is a typical multi-task learning problem, especially when solved in an ...

This paper presents a person search system by uncertain attributes. Attribute-based person search aims at finding person images that are the best matched with a set of attributes specified by a user as a query. The specified query attributes are ...

Multi-Object Tracking (MOT) and Person Search both demand to localize and identify specific targets from raw image frames. Existing methods can be classified into two categories, namely two-step strategy and end-to-end strategy. Two-step approaches have ...

As a crucial task for video analysis, social relation recognition for characters not only provides semantically rich description of video content but also supports intelligent applications, e.g., video retrieval and visual question answering. ...

Text-based person search aims at retrieving the most relevant pedestrian images from database in response to a query in form of natural language description. Existing algorithms mainly focus on embedding textual and visual features into a common ...

This demonstration presents an instant and progressive cross-modality person search system, called 'CMPS'. Through the system, users can instantly find the lost children or elderly persons by simply describing their appearance through speech. Unlike ...

The key to efficient person search is jointly localizing pedestrians and learning discriminative representation for person re-identification (re-ID). Some recently developed task-joint models are built with separate detection and re-ID branches on top ...

Person search has recently gained increasing attention as the novel task of localizing and identifying a target pedestrian from a gallery of non-cropped scene images. Its performance depends on accurate person detection and re-identification ...

Person re-identification has received more and more attention in recent years. However, the pedestrian images used in most existing algorithms are always produced by cropping the integral surveillance images in manual or machining ways, and there is ...

Video instance search or also well known as object retrieval is a fundamental task in computer vision field and has a lot of applications. Most state-of-the-art systems are based on the Bag-of-Words model (BOW) for representing video frames and target ...

We introduce the problem of searching for professionals in microblogging platforms. We describe a study of how a group of professional journalists with some common characteristics (e.g., works in a specific language, belongs to certain region, or ...

This paper presents a novel framework for a multimedia search task: searching a person in a scene using human body appearance. Existing works mostly focus on two independent problems related to this task, i.e., people detection and person re-...

The growing amount of personal information on the web raises increasing concerns about what and with whom we share information online. Nevertheless, little effort has been made in determining the relevance of the information shared with us or in ...

Our Personal Information is now scattered among several applications and personal devices in an unrelated, but still connected, information network. We have never had so much information at our disposal as we have now, giving us the opportunities to ...

Face indexing and retrieval are basic tasks of search engines. Most current search engines use text information such as keywords and captions rather than visual content for indexing. This approach returns many irrelevant results, since faces and names ...

Finding information about people on the Web using a search engine is difficult because there is a many-to-many mapping between person names and specific persons (i.e. referents). This paper describes a person resolution system, called WebHawk. Given a ...