Bi-directional center-constrained top-ranking for visible thermal person re-identification

M Ye, X Lan, Z Wang, PC Yuen - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Visible thermal person re-identification (VT-REID) is a task of matching person images
captured by thermal and visible cameras, which is an extremely important issue in night-time …

[PDF][PDF] Visible thermal person re-identification via dual-constrained top-ranking.

M Ye, Z Wang, X Lan, PC Yuen - IJCAI, 2018 - ijcai.org
Cross-modality person re-identification between the thermal and visible domains is
extremely important for night-time surveillance applications. Existing works in this filed …

Alignedreid++: Dynamically matching local information for person re-identification

H Luo, W Jiang, X Zhang, X Fan, J Qian, C Zhang - Pattern Recognition, 2019 - Elsevier
Person re-identification (ReID) is a challenging problem, where global features of person
images are not enough to solve unaligned image pairs. Many previous works used human …

Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection

T Chen, X Li, H Yin, J Zhang - … in knowledge discovery and data mining …, 2018 - Springer
The proliferation of social media in communication and information dissemination has made
it an ideal platform for spreading rumors. Automatically debunking rumors at their stage of …

Multiview spectral clustering via structured low-rank matrix factorization

Y Wang, L Wu, X Lin, J Gao - IEEE transactions on neural …, 2018 - ieeexplore.ieee.org
Multiview data clustering attracts more attention than their single-view counterparts due to
the fact that leveraging multiple independent and complementary information from multiview …

Deep-person: Learning discriminative deep features for person re-identification

X Bai, M Yang, T Huang, Z Dou, R Yu, Y Xu - Pattern Recognition, 2020 - Elsevier
Person re-identification (Re-ID) requires discriminative features focusing on the full person
to cope with inaccurate person bounding box detection, background clutter, and occlusion …

Deep learning algorithms for person re-identification: Sate-of-the-art and research challenges

A Yadav, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
Person re-identification has received a lot of attention from the research community in recent
times. Due to its vital role in security based applications, person re-identification lies at the …

Where-and-when to look: Deep siamese attention networks for video-based person re-identification

L Wu, Y Wang, J Gao, X Li - IEEE Transactions on Multimedia, 2018 - ieeexplore.ieee.org
Video-based person re-identification (re-id) is a central application in surveillance systems
with a significant concern in security. Matching persons across disjoint camera views in their …

Deep attention-based spatially recursive networks for fine-grained visual recognition

L Wu, Y Wang, X Li, J Gao - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
Fine-grained visual recognition is an important problem in pattern recognition applications.
However, it is a challenging task due to the subtle interclass difference and large intraclass …

Asymmetric cross-scale alignment for text-based person search

Z Ji, J Hu, D Liu, LY Wu, Y Zhao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Text-based person search (TBPS) is of significant importance in intelligent surveillance,
which aims to retrieve pedestrian images with high semantic relevance to a given text …