Search Results for author: Kevin Hernandez-Diaz

Found 14 papers, 1 papers with code

Periocular Recognition Using CNN Features Off-the-Shelf

no code implementations17 Sep 2018 Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun

Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and skin.

Object Recognition

Cloud-Based Face and Speech Recognition for Access Control Applications

no code implementations23 Apr 2020 Nathalie Tkauc, Thao Tran, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez

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.

Face Recognition speech-recognition +2

SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms

no code implementations16 Jul 2020 Fernando Alonso-Fernandez, Javier Barrachina, Kevin Hernandez-Diaz, Josef Bigun

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.

Face Verification Lightweight Face Recognition

Writer Identification Using Microblogging Texts for Social Media Forensics

no code implementations31 Jul 2020 Fernando Alonso-Fernandez, Nicole Mariah Sharon Belvisi, Kevin Hernandez-Diaz, Naveed Muhammad, Josef Bigun

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.

Cross-Spectral Periocular Recognition with Conditional Adversarial Networks

no code implementations26 Aug 2020 Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun

Recognition experiments are done using a number of off-the-shelf periocular comparators based both on hand-crafted features and CNN descriptors.

In-Bed Person Monitoring Using Thermal Infrared Sensors

no code implementations16 Jul 2021 Elias Josse, Amanda Nerborg, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez

The world is expecting an aging population and shortage of healthcare professionals.

On the Effect of Selfie Beautification Filters on Face Detection and Recognition

no code implementations17 Oct 2021 Pontus Hedman, Vasilios Skepetzis, Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez

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)

Face Detection

Synthetic Data for Object Classification in Industrial Applications

no code implementations9 Dec 2022 August Baaz, Yonan Yonan, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Felix Nilsson

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.

Classification Object

Image-Based Fire Detection in Industrial Environments with YOLOv4

no code implementations9 Dec 2022 Otto Zell, Joel Pålsson, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Felix Nilsson

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.

Fire Detection Object +2

One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations

no code implementations11 Jul 2023 Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun

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.

Domain Adaptation One-Shot Learning

An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification

no code implementations25 Jul 2023 Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades, Prayag Tiwari, Josef Bigun

This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting.

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