Learning context graph for person search
Person re-identification has achieved great progress with deep convolutional neural
networks. However, most previous methods focus on learning individual appearance feature …
networks. However, most previous methods focus on learning individual appearance feature …
Sta: Spatial-temporal attention for large-scale video-based person re-identification
In this work, we propose a novel Spatial-Temporal Attention (STA) approach to tackle the
large-scale person reidentification task in videos. Different from the most existing methods …
large-scale person reidentification task in videos. Different from the most existing methods …
Query-guided end-to-end person search
Person search has recently gained attention as the novel task of finding a person, provided
as a cropped sample, from a gallery of non-cropped images, whereby several other people …
as a cropped sample, from a gallery of non-cropped images, whereby several other people …
Re-id driven localization refinement for person search
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 …
scene images. Different from person re-identification (re-ID), its performance also depends …
Group reidentification with multigrained matching and integration
The task of reidentifying groups of people under different camera views is an important yet
less-studied problem. Group reidentification (Re-ID) is a very challenging task since it is not …
less-studied problem. Group reidentification (Re-ID) is a very challenging task since it is not …
Simultaneous multi-view instance detection with learned geometric soft-constraints
We propose to jointly learn multi-view geometry and warping between views of the same
object instances for robust cross-view object detection. What makes multi-view object …
object instances for robust cross-view object detection. What makes multi-view object …
Context-interactive CNN for person re-identification
Despite growing progresses in recent years, cross-scenario person re-identification remains
challenging, mainly due to the pedestrians commonly surrounded by highly-complex …
challenging, mainly due to the pedestrians commonly surrounded by highly-complex …
Visual-textual association with hardest and semi-hard negative pairs mining for person search
J Ge, G Gao, Z Liu - arXiv preprint arXiv:1912.03083, 2019 - arxiv.org
Searching persons in large-scale image databases with the query of natural language
description is a more practical important applications in video surveillance. Intuitively, for …
description is a more practical important applications in video surveillance. Intuitively, for …
Efficient person search via expert-guided knowledge distillation
The person search problem aims to find the target person in the scene images, which
presents high demands for both effectiveness and efficiency. In this paper, we present a …
presents high demands for both effectiveness and efficiency. In this paper, we present a …
Knowledge distillation for end-to-end person search
We introduce knowledge distillation for end-to-end person search. End-to-End methods are
the current state-of-the-art for person search that solve both detection and re-identification …
the current state-of-the-art for person search that solve both detection and re-identification …