Person search detects and retrieves simultaneously a query person across uncropped
scene images captured by multiple non-overlap** cameras. In light of the deep learning …

Deep learning-based object detection is a fundamental but challenging problem in computer
vision field, has attracted a lot of study in recent years. State-of-the-art object detection …

In the production process, the presence of surface defects seriously affects the quality of
industrial products. Existing defect detectors are not suitable for surface with scattered …

Multiple object tracking (MOT) in unmanned aerial vehicle (UAV) videos is a fundamental
task and can be applied in many fields. MOT consists of two critical procedures, ie, object …

Aerial person detection (APD) is vital for enhancing search and rescue (SaR) operations,
particularly when locating victims in remote, poorly-lit areas. Despite advancements in …

Facilitated by the powerful feature extraction ability of neural networks, deep clustering has
achieved great success in analyzing high-dimensional and complex real-world data. The …

Person search (PS) is a challenging computer vision problem where the objective is to
achieve joint optimization for pedestrian detection and re-Person search (PS) is a …

Tracking of dynamic people in cluttered and crowded human-centered environments is a
challenging robotics problem due to the presence of intraclass variations including …

Person search mainly consists of two submissions, namely Person Detection and Person Re-
identification (reID). Existing approaches are primarily based on Faster R-CNN and …

Person search is an integrated task of multiple sub-tasks such as foreground/background
classification, bounding box regression and person re-identification. Therefore, person …