What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
Julian Fierrez mostly deals with Biometrics, Artificial intelligence, Pattern recognition, Pattern recognition and Facial recognition system.
Julian Fierrez interconnects Data mining, Database and Fingerprint in the investigation of issues within Biometrics.
His studies deal with areas such as Liveness, Machine learning and Computer vision as well as Artificial intelligence.
The various areas that Julian Fierrez examines in his Pattern recognition study include Image and Biometric system.
His studies in Pattern recognition integrate themes in fields like Field, Training set and Information retrieval.
His Facial recognition system research incorporates themes from Modality, Soft biometrics and Authentication.
His most cited work include:
- Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition (349 citations)
- HMM-based on-line signature verification: Feature extraction and signature modeling (258 citations)
- Biometric Antispoofing Methods: A Survey in Face Recognition (234 citations)
What are the main themes of his work throughout his whole career to date?
Julian Fierrez mainly investigates Artificial intelligence, Biometrics, Pattern recognition, Computer vision and Face.
Artificial intelligence is frequently linked to Machine learning in his study.
His Biometrics research integrates issues from Speech recognition, Data mining, Authentication and Pattern recognition.
His Authentication research is multidisciplinary, incorporating perspectives in Password and Touchscreen, Human–computer interaction.
Julian Fierrez works mostly in the field of Pattern recognition, limiting it down to topics relating to Minutiae and, in certain cases, Latent fingerprint and Identification.
His Computer vision research focuses on Image segmentation, Fingerprint, Iris recognition and Feature.
He most often published in these fields:
- Artificial intelligence (61.36%)
- Biometrics (51.30%)
- Pattern recognition (26.62%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (61.36%)
- Biometrics (51.30%)
- Face (17.21%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Biometrics, Face, Machine learning and Deep learning.
The study incorporates disciplines such as Field, Information sensitivity, Set and Pattern recognition in addition to Artificial intelligence.
Biometrics is a subfield of Computer security that Julian Fierrez investigates.
His study in the field of Facial recognition system also crosses realms of Generator, Affect and Demographics.
His Machine learning research includes themes of Dynamic time warping, Representation, State and Benchmark.
Julian Fierrez has included themes like Character and Data science in his Deep learning study.
Between 2019 and 2021, his most popular works were:
- DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (68 citations)
- DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (30 citations)
- GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Computer vision
The scientist’s investigation covers issues in Artificial intelligence, Biometrics, Deep learning, Machine learning and Authentication.
Much of his study explores Artificial intelligence relationship to Pattern recognition.
Julian Fierrez has researched Biometrics in several fields, including Gesture, Gesture recognition, Handwriting and Human–computer interaction.
His Deep learning study integrates concerns from other disciplines, such as Adversarial system and Data science.
His Machine learning research is multidisciplinary, relying on both Information sensitivity, Face and State.
His Authentication study combines topics from a wide range of disciplines, such as Password, Touchscreen and Data mining.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
