This study introduces an efficient and effective method, MeDM, that util...
Many physical adversarial patch generation methods are widely proposed t...
In this study, we present an efficient and effective approach for achiev...
In visual search, the gallery set could be incrementally growing and add...
Face super-resolution is a challenging and highly ill-posed problem sinc...
Video-based person re-identification (Re-ID) aims at matching the video
...
Object detection is an important computer vision task with plenty of
rea...
Most human action recognition systems typically consider static appearan...
In recent years, the research community has approached the problem of ve...
In recent years, attention models have been extensively used for person ...
Unconstrained video-based face recognition is a challenging problem due ...
Image deblurring aims to restore the latent sharp images from the
corres...
Real-world face recognition requires an ability to perceive the unique
f...
Although deep learning approaches have achieved performance surpassing h...
The availability of large annotated datasets and affordable computation ...
Covariates are factors that have a debilitating influence on face
verifi...
In recent years, the performance of face verification and recognition sy...
In this paper, we propose an unsupervised face clustering algorithm call...
Face recognition algorithms based on deep convolutional neural networks
...
Over many decades, researchers working in object recognition have longed...