Open-set face recognition refers to a scenario in which biometric system...
Open-set face recognition describes a scenario where unknown subjects, u...
Recent years have seen significant developments in the field of License ...
The License Plate Recognition (LPR) field has made impressive advances i...
Deeply learned representations are the state-of-the-art descriptors for ...
Modern convolutional networks such as ResNet and NASNet have achieved
st...
A face spoofing attack occurs when an intruder attempts to impersonate
s...
Dimensionality reduction plays an important role in computer vision prob...
In the last years, the computer vision research community has studied on...
In this paper, we present an efficient and layout-independent Automatic
...
Due to the availability of large-scale skeleton datasets, 3D human actio...
The recent impressive results of deep learning-based methods on computer...
In this paper, we tackle Automatic Meter Reading (AMR) by leveraging the...
To handle the high computational cost in deep convolutional networks, re...
Human activity recognition based on wearable sensor data has been an
att...
The variety of pedestrians detectors proposed in recent years has encour...
Semantic segmentation requires methods capable of learning high-level
fe...
Since Convolutional Neural Networks (ConvNets) are able to simultaneousl...
The temporal component of videos provides an important clue for activity...
Person re-identification aims at the maintenance of a global identity as...
Food fraud has been an area of great concern due to its risk to public
h...
Automatic License Plate Recognition (ALPR) has been the focus of many
re...
Biometrics systems have significantly improved person identification and...