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

Person reidentification is a key technique to match different persons observed in
nonoverlap** camera views. Many researchers treat it as a special object-retrieval …

Automatically generating the “impression” section of a radiology report given the “findings”
section can summarize as much salient information of the “findings” section as possible, thus …

Unsupervised domain adaptation (UDA) aims to mitigate the domain shift that occurs when
transferring knowledge from a labeled source domain to an unlabeled target domain. While …

Person retrieval largely relies on the appearance features of pedestrians. This task is rather
more difficult in surveillance videos due to the limitations of extracting robust appearance …

Person reidentification aims at matching images of the same person across disjoint camera
views, which is a challenging problem in multimedia analysis, multimedia editing, and …

Correlation filters (CFs) have been extensively used in tracking tasks due to their high
efficiency although most of them regard the tracked target as a whole and are minimally …

Given a pedestrian image as a query, the purpose of person re-identification is to identify the
correct match from a large collection of gallery images depicting the same person captured …

Person re-identification plays an important role in video surveillance and forensics
applications. In many cases, person re-identification needs to be conducted between image …

Hypergraph is popularly used for describing multi-relationships among objects in a unified
manner, and spectral clustering is regarded as one of the most effective algorithms for …