no code implementations • CVPR 2018 • Yaojie Liu, Amin Jourabloo, Xiaoming Liu
Face anti-spoofing is the crucial step to prevent face recognition systems from a security breach.
no code implementations • 17 Oct 2017 • Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
We present visual-analytics methods to reveal and analyze this hierarchy of similar classes in relation with CNN-internal data.
no code implementations • ICCV 2017 • Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
Face alignment has witnessed substantial progress in the last decade.
Ranked #12 on Facial Landmark Detection on 300W
no code implementations • ICCV 2015 • Amin Jourabloo, Xiaoming Liu
Face alignment aims to estimate the locations of a set of landmarks for a given image.
no code implementations • 29 Nov 2014 • Behnam Babagholami-Mohamadabadi, Amin Jourabloo, Ali Zarghami, Shohreh Kasaei
Our Bayesian framework estimates a posterior distribution for the sparse codes and the dictionaries from labeled training data.
no code implementations • CVPR 2016 • Amin Jourabloo, Xiaoming Liu
Large-pose face alignment is a very challenging problem in computer vision, which is used as a prerequisite for many important vision tasks, e. g, face recognition and 3D face reconstruction.
no code implementations • CVPR 2020 • Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu
Using printed photograph and replaying videos of biometric modalities, such as iris, fingerprint and face, are common attacks to fool the recognition systems for granting access as the genuine user.
no code implementations • CVPR 2022 • Amin Jourabloo, Baris Gecer, Fernando de la Torre, Jason Saragih, Shih-En Wei, Te-Li Wang, Stephen Lombardi, Danielle Belko, Autumn Trimble, Hernan Badino
Social presence, the feeling of being there with a real person, will fuel the next generation of communication systems driven by digital humans in virtual reality (VR).
1 code implementation • 5 Sep 2017 • Yaojie Liu, Amin Jourabloo, William Ren, Xiaoming Liu
Face alignment is a classic problem in the computer vision field.
Ranked #2 on Face Alignment on AFLW-LFPA
1 code implementation • ECCV 2018 • Amin Jourabloo, Yaojie Liu, Xiaoming Liu
In this work, motivated by the noise modeling and denoising algorithms, we identify a new problem of face de-spoofing, for the purpose of anti-spoofing: inversely decomposing a spoof face into a spoof noise and a live face, and then utilizing the spoof noise for classification.
1 code implementation • CVPR 2019 • Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu
We define the detection of unknown spoof attacks as Zero-Shot Face Anti-spoofing (ZSFA).