Collaborative refining for person re-identification with label noise
Existing person re-identification (Re-ID) methods usually rely heavily on large-scale
thoroughly annotated training data. However, label noise is unavoidable due to inaccurate …
thoroughly annotated training data. However, label noise is unavoidable due to inaccurate …
A comprehensive overview of person re-identification approaches
H Wang, H Du, Y Zhao, J Yan - Ieee Access, 2020 - ieeexplore.ieee.org
Person re-identification, identifying and tracking pedestrians in cross-domain monitoring
systems, is an important technology in the computer vision field and of real significance for …
systems, is an important technology in the computer vision field and of real significance for …
Improved Security of E-Healthcare Images Using Hybridized Robust Zero-Watermarking and Hyper-Chaotic System along with RSA
With the rapid advancements of the internet of things (IoT), several applications have
evolved with completely dissimilar structures and requirements. However, the fifth …
evolved with completely dissimilar structures and requirements. However, the fifth …
PoNA: Pose-guided non-local attention for human pose transfer
Human pose transfer, which aims at transferring the appearance of a given person to a
target pose, is very challenging and important in many applications. Previous work ignores …
target pose, is very challenging and important in many applications. Previous work ignores …
Person retrieval in surveillance videos via deep attribute mining and reasoning
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 …
more difficult in surveillance videos due to the limitations of extracting robust appearance …
Relation-preserving feature embedding for unsupervised person re-identification
X Wang, M Liu, F Wang, J Dai, AA Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Some unsupervised approaches have been proposed recently for the person re-
identification (ReID) problem since annotations of samples across cameras are time …
identification (ReID) problem since annotations of samples across cameras are time …
Refining noisy labels with label reliability perception for person re-identification
Y Chen, M Liu, X Wang, F Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Most person re-identification (Re-ID) approaches rely excessively on a great quantity of
annotated training data. However, due to sampling errors or annotated errors, the label …
annotated training data. However, due to sampling errors or annotated errors, the label …
Batch coherence-driven network for part-aware person re-identification
Existing part-aware person re-identification methods typically employ two separate steps:
namely, body part detection and part-level feature extraction. However, part detection …
namely, body part detection and part-level feature extraction. However, part detection …
Mutually activated residual linear modeling GAN for pose-guided person image generation
J Liu, Y Zhu - Neurocomputing, 2022 - Elsevier
Translating a pose of a given person to another desired pose is popular in computer vision
applications. However, previous works usually directly utilized pose information to guide …
applications. However, previous works usually directly utilized pose information to guide …
A survey on graph matching in computer vision
H Sun, W Zhou, M Fei - 2020 13th International Congress on …, 2020 - ieeexplore.ieee.org
Graph matching (GM) which is the problem of finding vertex correspondence among two or
multiple graphs is a fundamental problem in computer vision and pattern recognition. GM …
multiple graphs is a fundamental problem in computer vision and pattern recognition. GM …