Results 221 to 230 of about 117,086 (262)

Person re-identification based on multi-branch visual transformer and self-distillation. [PDF]

Sci Prog
Chen W, Yin K, Wu Y, Hu Y.
europepmc   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

Molecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan, Veronika M Metzler, Simone de Brot, Corinne L Woodcock, Anna E Harris, Jennifer Lothion‐Roy, Emeli M Nilsson, Atara Ntekim, Michael S Toss, Jenny L Persson, Francesca Khani, Brian D Robinson, Lorraine J Gudas, Emad Rakha, David M Heery, Catrin S Rutland, Nigel P Mongan   +16 more
wiley   +1 more source

AA-RGTCN: reciprocal global temporal convolution network with adaptive alignment for video-based person re-identification. [PDF]

Front Neurosci
Zhang Y, Lin Y, Yang X.
europepmc   +1 more source

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Isosceles Constraints for Person Re-Identification

IEEE Transactions on Image Processing, 2020
In the existing works of person re-identification (ReID), batch hard triplet loss has achieved great success. However, it only cares about the hardest samples within the batch. For any probe, there are massive mismatched samples (crucial samples) outside the batch which are closer than the matched samples.
Furong Xu, Bingpeng Ma, Hong Chang 0001, Shiguang Shan   +3 more
openaire   +2 more sources

Partial Person Re-Identification

2015 IEEE International Conference on Computer Vision (ICCV), 2015
We address a new partial person re-identification (re-id) problem, where only a partial observation of a person is available for matching across different non-overlapping camera views. This differs significantly from the conventional person re-id setting where it is assumed that the full body of a person is detected and aligned.
Wei-Shi Zheng 0001, Xiang Li 0032, Tao Xiang 0002, Shengcai Liao, Jian-Huang Lai, Shaogang Gong   +5 more
openaire   +1 more source

Complementary networks for person re-identification

Information Sciences, 2023
This study is supported under the RIE2020 Industry Alignment Fund – Industry Collaboration Projects (IAF-ICP) Funding Initiative (No. NTU 2018-0551), as well as cash and in-kind contribution from Singapore Telecommunications Limited (Singtel), through Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU).
Zhang, Guoqing, Lin, Weisi, Chandran, Arun Kumar, Jing, Xuan   +3 more
openaire   +3 more sources

Face in Person Re-Identification

2014
The face represents one of the most diffused and established biometrics for both identity verification and recognition with a large corpus of research focused on advancing the accuracy, the robustness, and the response speed of face recognition systems by means of 2D, 3D, and hybrid approaches.
Abate, Andrea F., RICCIARDI, STEFANO, Tortora, Genoveffa   +2 more
openaire   +2 more sources

Person in Uniforms Re-Identification

ACM Transactions on Multimedia Computing, Communications, and Applications
Person in Uniforms Re-identification (PU-ReID) is an emerging computer vision task for various intelligent video surveillance applications. PU-ReID is much understudied due to the absence of large-scale annotated datasets, also this task is extremely challenging because many individuals captured in surveillance videos wear same clothing, introducing ...
Chong-Yang Xiang, Xiao Wu 0001, Jun-Yan He, Zhaoquan Yuan, Tingquan He   +4 more
openaire   +1 more source

Person Re-identification Based on Hash

2021
Person re-identificaton aims to retrieve interested person objects from the person image database in cross camera scene, which has a wide range of application value in the field of video surveillance and security. With the generation of massive monitoring data, the retrieval speed of person re-identificaton is required to be higher.
Bo Song, Xinfeng Zhang 0002, Tianyu Zhu, Bowen Ren, Maoshen Jia   +4 more
openaire   +1 more source

Bidirectional ranking for person re-identification

2013 IEEE International Conference on Multimedia and Expo (ICME), 2013
This paper proposes a simple but efficient bidirectional ranking method to improve person re-identification results across non-overlapping cameras. Previous methods treat person reidentification as a special object retrieval problem, and compute the final rank result purely based on a unidirectional matching between the probe and all gallery images ...
Qingming Leng, Ruimin Hu, Chao Liang 0001, Yimin Wang, Jun Chen 0001   +4 more
openaire   +1 more source