K Islam - Image and Vision Computing, 2020 - Elsevier
Person Search (PS) has become a major field because of its need in community and in the field of research among researchers. This task aims to find a probe person from whole scene …
Person search aims to simultaneously localize and identify a query person from realistic, uncropped images, which can be regarded as the unified task of pedestrian detection and …
C Yan, X Chang, M Luo, Q Zheng, X Zhang… - ACM Transactions on …, 2020 - dl.acm.org
Linear discriminant analysis (LDA) is a popular technique to learn the most discriminative features for multi-class classification. A vast majority of existing LDA algorithms are prone to …
The goal of person search is to localize a target person from a gallery set of scene images, which is extremely challenging due to large scale variations, pose/viewpoint changes, and …
Recent advances in multi-agent reinforcement learning have been largely limited in training one model from scratch for every new task. The limitation is due to the restricted model …
Z Li, D Miao - Proceedings of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
Person search aims at jointly solving Person Detection and Person Re-identification (re-ID). Existing works have designed end-to-end networks based on Faster R-CNN. However, due …
J Cao, Y Pang, RM Anwer… - Proceedings of the …, 2022 - openaccess.thecvf.com
We propose a novel one-step transformer-based person search framework, PSTR, that jointly performs person detection and re-identification (re-id) in a single architecture. PSTR …
C Han, J Ye, Y Zhong, X Tan… - Proceedings of the …, 2019 - openaccess.thecvf.com
Person search aims at localizing and identifying a query person from a gallery of uncropped scene images. Different from person re-identification (re-ID), its performance also depends …
The state of the art person search methods separate person search into detection and re-ID stages, but ignore the consistency between these two stages. The general person detector …