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Resolution-invariant Person Re-Identification [PDF]
Exploiting resolution invariant representation is critical for person Re-Identification (ReID) in real applications, where the resolutions of captured person images may vary dramatically. This paper learns person representations robust to resolution variance through jointly training a Foreground-Focus Super-Resolution (FFSR) module and a Resolution ...
Ming Yang, Shiliang Zhang, Shunan Mao
openaire +3 more sources
Graph-based Person Signature for Person Re-Identifications [PDF]
The task of person re-identification (ReID) is to match images of the same person over multiple non-overlapping camera views. Due to the variations in visual factors, previous works have investigated how the person identity, body parts, and attributes benefit the person ReID problem.
Binh Nguyen+5 more
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Part‐level attention networks for cross‐domain person re‐identification
Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accuracy, poor ...
Qun Zhao+9 more
doaj +1 more source
Person Re-Identification with Vision and Language [PDF]
In this paper we propose a new approach to person re-identification using images and natural language descriptions. We propose a joint vision and language model based on CCA and CNN architectures to match across the two modalities as well as to enrich visual examples for which there are no language descriptions. We also introduce new annotations in the
Krystian Mikolajczyk+2 more
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Feature Completion for Occluded Person Re-Identification [PDF]
18 pages, 17 figures. The paper is accepted by TPAMI, and the code is available at https://github.com/blue-blue272/OccludedReID ...
Xinqian Gu+5 more
openaire +4 more sources
Weakly Supervised Person Re-Identification [PDF]
to appear at ...
Jingke Meng, Wei-Shi Zheng, Sheng Wu
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Spatial-Temporal Person Re-Identification
Most of current person re-identification (ReID) methods neglect a spatial-temporal constraint. Given a query image, conventional methods compute the feature distances between the query image and all the gallery images and return a similarity ranked table.
Peigen Huang+3 more
openaire +4 more sources
Support Neighbor Loss for Person Re-Identification
Person re-identification (re-ID) has recently been tremendously boosted due to the advancement of deep convolutional neural networks (CNN). The majority of deep re-ID methods focus on designing new CNN architectures, while less attention is paid on ...
Ding, Zhengming+4 more
core +1 more source
Cluster Loss for Person Re-Identification [PDF]
Person re-identification (ReID) is an important problem in computer vision, especially for video surveillance applications. The problem focuses on identifying people across different cameras or across different frames of the same camera. The main challenge lies in identifying the similarity of the same person against large appearance and structure ...
Subrat Panda+3 more
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source