29 citations · 72 across the 20 of their papers we have counts for
24 papers
Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades +1
We investigate CLIP for zero-shot gender estimation from full-face and periocular images. Three CLIP backbones are evaluated on 11,299 frontal images from Adience using image-text…
Periocular Soft Biometrics: A Survey and Applications to Multimedia Forensics and Disinformation Detection
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Josef Bigun
Soft-biometric attributes such as gender, age, and ethnicity provide valuable ancillary evidence when full identity recognition is not feasible, supporting applications in forensic…
Explicit Over Implicit: Enhancing CNNs Via Complex Structure Tensor Representations for Periocular Recognition
Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
Our study provides evidence that CNNs struggle to extract orientation features effectively. We show that using the Complex Structure Tensor, which contains compact orientation feat…
Leveraging Large-Scale Face Datasets for Deep Periocular Recognition via Ocular Cropping
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +1
We focus on ocular biometrics, specifically the periocular region (the area around the eye), which offers high discrimination and minimal acquisition constraints. We evaluate three…
FGSSNet: Feature-Guided Semantic Segmentation of Real World Floorplans
Hugo Norrby, Gabriel Färm, Kevin Hernandez-Diaz +1
We introduce FGSSNet, a novel multi-headed feature-guided semantic segmentation (FGSS) architecture designed to improve the generalization ability of wall segmentation on floorplan…
Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Prayag Tiwari +1
We apply pre-trained architectures, originally developed for the ImageNet Large Scale Visual Recognition Challenge, for periocular recognition. These architectures have demonstrate…
Deep Network Pruning: A Comparative Study on CNNs in Face Recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +2
The widespread use of mobile devices for all kinds of transactions makes necessary reliable and real-time identity authentication, leading to the adoption of face recognition (FR)…
Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study
Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
Our study provides evidence that CNNs struggle to effectively extract orientation features. We show that the use of Complex Structure Tensor, which contains compact orientation fea…
An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades +2
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially pro…
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +1
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication. In this context, facial recognition technolog…
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
One weakness of machine-learning algorithms is the need to train the models for a new task. This presents a specific challenge for biometric recognition due to the dynamic nature o…
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers
Jonathan Karlsson, Fredrik Strand, Josef Bigun +3
Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to imp…
Synthetic Data for Object Classification in Industrial Applications
August Baaz, Yonan Yonan, Kevin Hernandez-Diaz +2
One of the biggest challenges in machine learning is data collection. Training data is an important part since it determines how the model will behave. In object classification, ca…
Image-Based Fire Detection in Industrial Environments with YOLOv4
Otto Zell, Joel Pålsson, Kevin Hernandez-Diaz +2
Fires have destructive power when they break out and affect their surroundings on a devastatingly large scale. The best way to minimize their damage is to detect the fire as quickl…
LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
Pontus Hedman, Vasilios Skepetzis, Kevin Hernandez-Diaz +2
Selfie images enjoy huge popularity in social media. The same platforms centered around sharing this type of images offer filters to beautify them or incorporate augmented reality…
On the Effect of Selfie Beautification Filters on Face Detection and Recognition
Pontus Hedman, Vasilios Skepetzis, Kevin Hernandez-Diaz +2
Beautification and augmented reality filters are very popular in applications that use selfie images captured with smartphones or personal devices. However, they can distort or mod…
In-Bed Person Monitoring Using Thermal Infrared Sensors
Elias Josse, Amanda Nerborg, Kevin Hernandez-Diaz +1
The world is expecting an aging population and shortage of healthcare professionals. This poses the problem of providing a safe and dignified life for the elderly. Technological so…
Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images
Fernando Alonso-Fernandez, Kevin Hernandez Diaz, Silvia Ramis +2
We address the use of selfie ocular images captured with smartphones to estimate age and gender. Partial face occlusion has become an issue due to the mandatory use of face masks.…
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
This work addresses the challenge of comparing periocular images captured in different spectra, which is known to produce significant drops in performance in comparison to operatin…
Writer Identification Using Microblogging Texts for Social Media Forensics
Fernando Alonso-Fernandez, Nicole Mariah Sharon Belvisi, Kevin Hernandez-Diaz +2
Establishing authorship of online texts is fundamental to combat cybercrimes. Unfortunately, text length is limited on some platforms, making the challenge harder. We aim at identi…
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms
Fernando Alonso-Fernandez, Javier Barrachina, Kevin Hernandez-Diaz +1
Virtual applications through mobile platforms are one of the most critical and ever-growing fields in AI, where ubiquitous and real-time person authentication has become critical a…
Cloud-Based Face and Speech Recognition for Access Control Applications
Nathalie Tkauc, Thao Tran, Kevin Hernandez-Diaz +1
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 recogniti…
Spectrum Translation for Cross-Spectral Ocular Matching
Kevin Hernandez Diaz, Fernando Alonso-Fernandez, Josef Bigun
Cross-spectral verification remains a big issue in biometrics, especially for the ocular area due to differences in the reflected features in the images depending on the region and…
Periocular Recognition Using CNN Features Off-the-Shelf
Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and skin. With a surprisingly high discrimination ability, it is the ocular modality requir…