211 citations · 388 across the 12 of their papers we have counts for
13 papers
Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers
Federico Stella, Fei Jiang, Zhongshi Jiang +4
Photorealistic novel view synthesis of people remains challenging at high spatial resolutions and across multiple target cameras, where preserving identity, fine appearance details…
Latent Dynamics for Full Body Avatar Animation
Shichong Peng, Chengxiang Yin, Fei Jiang +7
Pose-driven full-body avatars built on neural rendering produce high-quality novel views of a captured subject. Yet loose clothing and other dynamic elements deform in ways pose al…
GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars
Keqiang Sun, Amin Jourabloo, Riddhish Bhalodia +9
Photo-realistic and controllable 3D avatars are crucial for various applications such as virtual and mixed reality (VR/MR), telepresence, gaming, and film production. Traditional m…
Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality
Amin Jourabloo, Baris Gecer, Fernando De la Torre +7
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). The best 3D…
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
Joel Stehouwer, Amin Jourabloo, Yaojie Liu +1
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…
Deep Tree Learning for Zero-shot Face Anti-Spoofing
Yaojie Liu, Joel Stehouwer, Amin Jourabloo +1
Face anti-spoofing is designed to keep face recognition systems from recognizing fake faces as the genuine users. While advanced face anti-spoofing methods are developed, new types…
Face De-Spoofing: Anti-Spoofing via Noise Modeling
Amin Jourabloo, Yaojie Liu, Xiaoming Liu
Many prior face anti-spoofing works develop discriminative models for recognizing the subtle differences between live and spoof faces. Those approaches often regard the image as an…
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
Yaojie Liu, Amin Jourabloo, Xiaoming Liu
Face anti-spoofing is the crucial step to prevent face recognition systems from a security breach. Previous deep learning approaches formulate face anti-spoofing as a binary classi…
Do Convolutional Neural Networks Learn Class Hierarchy?
Bilal Alsallakh, Amin Jourabloo, Mao Ye +2
Convolutional Neural Networks (CNNs) currently achieve state-of-the-art accuracy in image classification. With a growing number of classes, the accuracy usually drops as the possib…
Dense Face Alignment
Yaojie Liu, Amin Jourabloo, William Ren +1
Face alignment is a classic problem in the computer vision field. Previous works mostly focus on sparse alignment with a limited number of facial landmark points, i.e., facial land…
Pose-Invariant Face Alignment with a Single CNN
Amin Jourabloo, Mao Ye, Xiaoming Liu +1
Face alignment has witnessed substantial progress in the last decade. One of the recent focuses has been aligning a dense 3D face shape to face images with large head poses. The do…
Pose-Invariant 3D Face Alignment
Amin Jourabloo, Xiaoming Liu
Face alignment aims to estimate the locations of a set of landmarks for a given image. This problem has received much attention as evidenced by the recent advancement in both the m…
A Bayesian Framework for Sparse Representation-Based 3D Human Pose Estimation
Behnam Babagholami-Mohamadabadi, Amin Jourabloo, Ali Zarghami +1
A Bayesian framework for 3D human pose estimation from monocular images based on sparse representation (SR) is introduced. Our probabilistic approach aims at simultaneously learnin…