16 citations · 31 across the 12 of their papers we have counts for
8 papers · 1 filter
Are Foundation Models All You Need for Zero-shot Face Presentation Attack Detection?
Lazaro Janier Gonzalez-Sole, Juan E. Tapia, Christoph Busch
Although face recognition systems have undergone an impressive evolution in the last decade, these technologies are vulnerable to attack presentations (AP). These attacks are mostl…
ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models
Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja +1
Face Recognition Systems (FRS) are increasingly vulnerable to face-morphing attacks, prompting the development of Morphing Attack Detection (MAD) algorithms. However, a key challen…
Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images
Juan Tapia, Daniel Benalcazar, Andres Valenzuela +3
This research proposes a new database and method to detect the reduction of alertness conditions due to alcohol, drug consumption and sleepiness deprivation from Near-Infra-Red (NI…
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network
Juan Tapia, Enrique Lopez Droguett, Christoph Busch
This research proposes a method to detect alcohol consumption from Near-Infra-Red (NIR) periocular eye images. The study focuses on determining the effect of external factors such…
Synthetic Data in Human Analysis: A Survey
Indu Joshi, Marcel Grimmer, Christian Rathgeb +3
Deep neural networks have become prevalent in human analysis, boosting the performance of applications, such as biometric recognition, action recognition, as well as person re-iden…
Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data
Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2
The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using…