406 citations · 2.5k across the 53 of their papers we have counts for
12 papers · 1 filter
Pedestrian Detection with Autoregressive Network Phases
Garrick Brazil, Xiaoming Liu
We present an autoregressive pedestrian detection framework with cascaded phases designed to progressively improve precision. The proposed framework utilizes a novel lightweight st…
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Ying Tai, Yicong Liang, Xiaoming Liu +5
In recent years, heatmap regression based models have shown their effectiveness in face alignment and pose estimation. However, Conventional Heatmap Regression (CHR) is not accurat…
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger, Garrick Brazil, Xiaoming Liu
Understanding the world around us and making decisions about the future is a critical component to human intelligence. As autonomous systems continue to develop, their ability to r…
On Learning 3D Face Morphable Model from In-the-wild Images
Luan Tran, Xiaoming Liu
As a classic statistical model of 3D facial shape and albedo, 3D Morphable Model (3DMM) is widely used in facial analysis, e.g., model fitting, image synthesis. Conventional 3DMM i…
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…
Towards Interpretable Face Recognition
Bangjie Yin, Luan Tran, Haoxiang Li +2
Deep CNNs have been pushing the frontier of visual recognition over past years. Besides recognition accuracy, strong demands in understanding deep CNNs in the research community mo…
Face Alignment in Full Pose Range: A 3D Total Solution
Xiangyu Zhu, Xiaoming Liu, Zhen Lei +1
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in the computer vision community. However, most…
Nonlinear 3D Face Morphable Model
Luan Tran, Xiaoming Liu
As a classic statistical model of 3D facial shape and texture, 3D Morphable Model (3DMM) is widely used in facial analysis, e.g., model fitting, image synthesis. Conventional 3DMM…
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
Feng Liu, Ronghang Zhu, Dan Zeng +2
This paper proposes an encoder-decoder network to disentangle shape features during 3D face reconstruction from single 2D images, such that the tasks of reconstructing accurate 3D…
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…
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data
Xi Yin, Xiang Yu, Kihyuk Sohn +2
Despite the large volume of face recognition datasets, there is a significant portion of subjects, of which the samples are insufficient and thus under-represented. Ignoring such s…
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
Luan Tran, Kihyuk Sohn, Xiang Yu +2
Recent developments in deep domain adaptation have allowed knowledge transfer from a labeled source domain to an unlabeled target domain at the level of intermediate features or in…