Search Results for author:
Found 15 papers, 1 papers with code
Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study
Experiments also demonstrated that our inputs, which were provided by mini complex conv-nets, combined with reduced CNN sizes, outperformed full-fledged, prevailing CNN architectures.
An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting.
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication.
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
In this paper, we investigate the behavior of deep representations in widely used CNN models under extreme data scarcity for One-Shot periocular recognition, a biometric recognition task.
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers
Workplace injuries are common in today's society due to a lack of adequately worn safety equipment.
Synthetic Data for Object Classification in Industrial Applications
In object classification, capturing a large number of images per object and in different conditions is not always possible and can be very time-consuming and tedious.
Image-Based Fire Detection in Industrial Environments with YOLOv4
Accordingly, this work looks into the potential of AI to detect and recognize fires and reduce detection time using object detection on an image stream.
LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
To help in counteracting such issues, we contribute with a database of facial images that includes several manipulations.
On the Effect of Selfie Beautification Filters on Face Detection and Recognition
Although there is room for improvement, when neither U-NET reconstruction nor training with filtered images is applied, the accuracy with filters that severely occlude the eye is <72% (identification) and >12% (EER)
In-Bed Person Monitoring Using Thermal Infrared Sensors
The world is expecting an aging population and shortage of healthcare professionals.
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
Recognition experiments are done using a number of off-the-shelf periocular comparators based both on hand-crafted features and CNN descriptors.
Writer Identification Using Microblogging Texts for Social Media Forensics
With a large number of training Tweets (>500), a good accuracy (Rank-5>80%) is achievable with only a few dozens of test Tweets, even with several thousands of authors.
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms
Accordingly, we address the challenge of developing a lightweight face recognition network of just a few megabytes that can operate with sufficient accuracy in comparison to much larger models.
Cloud-Based Face and Speech Recognition for Access Control Applications
This paper describes the implementation of a system to recognize employees and visitors wanting to gain access to a physical office through face images and speech-to-text recognition.
Periocular Recognition Using CNN Features Off-the-Shelf
Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and skin.
