5 citations · 8 across the 7 of their papers we have counts for
7 papers
Unified Physical-Digital Attack Detection Challenge
Haocheng Yuan, Ajian Liu, Junze Zheng +6
Face Anti-Spoofing (FAS) is crucial to safeguard Face Recognition (FR) Systems. In real-world scenarios, FRs are confronted with both physical and digital attacks. However, existin…
TurboGP: A flexible and advanced python based GP library
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante
We introduce TurboGP, a Genetic Programming (GP) library fully written in Python and specifically designed for machine learning tasks. TurboGP implements modern features not availa…
Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search
Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante
We propose a novel approach for the challenge of designing less complex yet highly effective convolutional neural networks (CNNs) through the use of cartesian genetic programming (…
Comparison of classifiers in challenge scheme
Sergio Nava-Muñoz, Mario Graff Guerrero, Hugo Jair Escalante
In recent decades, challenges have become very popular in scientific research as these are crowdsourcing schemes. In particular, challenges are essential for developing machine lea…
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
Dong Wang, Jia Guo, Qiqi Shao +9
Face anti-spoofing (FAS) is an essential mechanism for safeguarding the integrity of automated face recognition systems. Despite substantial advancements, the generalization of exi…
Surveillance Face Presentation Attack Detection Challenge
Hao Fang, Ajian Liu, Jun Wan +3
Face Anti-spoofing (FAS) is essential to secure face recognition systems from various physical attacks. However, most of the studies lacked consideration of long-distance scenarios…