406 citations · 2.5k across the 53 of their papers we have counts for
11 papers · 1 filter
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
Xi Yin, Ying Tai, Yuge Huang +1
This paper studies face recognition (FR) and normalization in surveillance imagery. Surveillance FR is a challenging problem that has great values in law enforcement. Despite recen…
Color-wise Attention Network for Low-light Image Enhancement
Yousef Atoum, Mao Ye, Liu Ren +2
Absence of nearby light sources while capturing an image will degrade the visibility and quality of the captured image, making computer vision tasks difficult. In this paper, a col…
Jointly De-biasing Face Recognition and Demographic Attribute Estimation
Sixue Gong, Xiaoming Liu, Anil K. Jain
We address the problem of bias in automated face recognition and demographic attribute estimation algorithms, where errors are lower on certain cohorts belonging to specific demogr…
On the Detection of Digital Face Manipulation
Hao Dang, Feng Liu, Joel Stehouwer +2
Detecting manipulated facial images and videos is an increasingly important topic in digital media forensics. As advanced face synthesis and manipulation methods are made available…
On Learning Disentangled Representations for Gait Recognition
Ziyuan Zhang, Luan Tran, Feng Liu +1
Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body models a…
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
Garrick Brazil, Xiaoming Liu
Understanding the world in 3D is a critical component of urban autonomous driving. Generally, the combination of expensive LiDAR sensors and stereo RGB imaging has been paramount f…
Towards High-fidelity Nonlinear 3D Face Morphable Model
Luan Tran, Feng Liu, Xiaoming Liu
Embedding 3D morphable basis functions into deep neural networks opens great potential for models with better representation power. However, to faithfully learn those models from a…
Gait Recognition via Disentangled Representation Learning
Ziyuan Zhang, Luan Tran, Xi Yin +4
Gait, the walking pattern of individuals, is one of the most important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body mod…
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…
Depth Coefficients for Depth Completion
Saif Imran, Yunfei Long, Xiaoming Liu +1
Depth completion involves estimating a dense depth image from sparse depth measurements, often guided by a color image. While linear upsampling is straight forward, it results in a…
3D Face Modeling From Diverse Raw Scan Data
Feng Liu, Luan Tran, Xiaoming Liu
Traditional 3D face models learn a latent representation of faces using linear subspaces from limited scans of a single database. The main roadblock of building a large-scale face…