E. Yaghoubi,
D. Borza,
A. Kumar,
H. Proença,
Person re-identification: Implicitly defining the receptive fields of deep learning classification frameworks,
Pattern Recognition Letters,
Vol. 145,
No. 0,
pp. 23 - 29,
May,
2021
| BibTex
E. Yaghoubi,
A. Kumar,
H. Proença,
SSS-PR: A Short Survey of Surveys in Person Re-identification,
Pattern Recognition Letters,
Vol. 143,
No. 0,
pp. 50 - 57,
January,
2021
| BibTex
A. Kumar,
E. Yaghoubi,
A. Das,
B. Harish,
H. Proença,
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking and Short/Long-term Re-Identification from Aerial Devices,
IEEE Transactions on Information Forensics and Security,
Vol. 0,
No. 0,
pp. 1 - 1,
December,
2020
| BibTex
H. Proença,
E. Yaghoubi,
P. Alirezazadeh,
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems,
IEEE Transactions on Information Forensics and Security,
Vol. 0,
No. 0,
pp. 1 - 1,
September,
2020
| BibTex
E. Yaghoubi,
F. Khezeli,
D. Borza,
A. Kumar,
J. Neves,
H. Proença,
Human Attribute Recognition— A Comprehensive Survey,
Applied Sciences,
Vol. 10,
No. 16,
pp. 5608 - 5608,
August,
2020
| BibTex
E. Yaghoubi,
D. Borza,
J. Neves,
A. Kumar,
H. Proença,
An attention-based deep learning model for multiple pedestrian attributes recognition,
Image and Vision Computing,
Vol. 0,
No. 0,
pp. 103981 - 103981,
July,
2020
| BibTex
B. Degardin,
J. C. N. Neves,
V. Lopes,
J. Brito,
E. Yaghoubi,
H. Proença,
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis,
IEEE/CVF Winter Conference on Applications of Computer Vision WACV,
Waikoloa, Hawaii,
United States,
January,
2022
| Full text (PDF 5 MBs)
| BibTex
E. Yaghoubi,
E. Assunção,
Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments,
International Conf. of the Biometrics Special Interest Group - BIOSIG,
Darmstadt,
Germany,
September,
2019,
| Abstract
| BibTex
E. Yaghoubi,
E. Assunção,
J. Neves,
Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment,
International Conf. of the Biometrics Special Interest Group - BIOSIG,
Darmstadt,
Germany,
September,
2019,
| Abstract
| BibTex