Results 291 to 300 of about 1,229,322 (315)

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, Shiguang Shan   +3 more
openaire   +3 more sources

Benchmarking for Person Re-identification

2014
The evaluation of computer vision and pattern recognition systems is usually a burdensome and time-consuming activity. In this chapter all the benchmarks publicly available for re-identification will be reviewed and compared, starting from the ancestors VIPeR and Caviar to the most recent datasets for 3D modeling such as SARC3d (with calibrated cameras)
VEZZANI, Roberto, CUCCHIARA, Rita
openaire   +1 more source

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

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.
Shengcai Liao, Xiang Li, Wei-Shi Zheng, Tao Xiang, Jian-Huang Lai, Shaogang Gong   +5 more
openaire   +2 more sources

Taichi distance for person re-identification

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Metric learning is an important issue in person re-identification, and Mahalanobis-distance based metric learning methods prevail in this field. All of these approaches can be considered as equivalently projecting all samples to a new metric space and calculating the Euclidean distance there.
Wang, Zheng, Hu, Ruimin, Yu, Yi, Liang, Chao, Chen, Chen   +4 more
openaire   +3 more sources

A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster

Lancet, The, 2020
Jasper Fuk-Woo Chan, Shuo-Feng Yuan, Kelvin Kai-Wang To   +2 more
exaly  

Does Language Matter? Identity-First Versus Person-First Language Use in Autism Research: A Response to Vivanti

Journal of Autism and Developmental Disorders, 2023
Monique Botha
exaly  

Gait-based Person Re-identification

ACM Computing Surveys, 2020
Athira M Nambiar, Alexandre Bernardino, Jacinto C Nascimento   +2 more
exaly  

Approaching Difficult Communication Tasks in Oncology

Ca-A Cancer Journal for Clinicians, 2005
Anthony L Back, James A Tulsky
exaly  

Employees' corporate social responsibility perceptions and organizational citizenship behaviors for the environment: The mediating roles of organizational identification and environmental orientation fit

Corporate Social Responsibility and Environmental Management, 2020
Sadia Ehtisham, Bilal Afsar
exaly