• Publications
  • Influence
Person re-identification by Local Maximal Occurrence representation and metric learning
  • Shengcai Liao, Yang Hu, Xiangyu Zhu, S. Li
  • Computer Science, Mathematics
  • IEEE Conference on Computer Vision and Pattern…
  • 17 June 2014
TLDR
This paper proposes an effective feature representation called Local Maximal Occurrence (LOMO), and a subspace and metric learning method called Cross-view Quadratic Discriminant Analysis (XQDA), and presents a practical computation method for XQDA. Expand
Learning Face Representation from Scratch
TLDR
A semi-automatical way to collect face images from Internet is proposed and a large scale dataset containing about 10,000 subjects and 500,000 images, called CASIAWebFace is built, based on which a 11-layer CNN is used to learn discriminative representation and obtain state-of-theart accuracy on LFW and YTF. Expand
Markov Random Field Modeling in Computer Vision
  • S. Li
  • Computer Science
  • Computer Science Workbench
  • 1 August 1995
TLDR
This book presents a comprehensive study on the use of MRFs for solving computer vision problems, and covers the following parts essential to the subject: introduction to fundamental theories, formulations of MRF vision models, MRF parameter estimation, and optimization algorithms. Expand
Face Alignment Across Large Poses: A 3D Solution
TLDR
3D Dense Face Alignment (3DDFA), in which a dense 3D face model is fitted to the image via convolutional neutral network (CNN), is proposed, and a method to synthesize large-scale training samples in profile views to solve the third problem of data labelling is proposed. Expand
Markov Random Field Modeling in Image Analysis
  • S. Li
  • Computer Science
  • Advances in Pattern Recognition
  • 2009
TLDR
This markov random field modeling in image analysis reprint, it will really give you the good idea to be successful. Expand
Markov Random Field Modeling in Image Analysis
  • S. Li
  • Computer Science
  • Computer Science Workbench
  • 2001
TLDR
This detailed and thoroughly enhanced third edition presents a comprehensive study / reference to theories, methodologies and recent developments in solving computer vision problems based on MRFs, statistics and optimisation. Expand
A face antispoofing database with diverse attacks
TLDR
A face antispoofing database which covers a diverse range of potential attack variations, and a baseline algorithm is given for comparison, which explores the high frequency information in the facial region to determine the liveness. Expand
Single-Shot Refinement Neural Network for Object Detection
TLDR
This paper proposes a novel single-shot based detector, called RefineDet, that achieves better accuracy than two-stage methods and maintains comparable efficiency of one- stage methods. Expand
Learning spatially localized, parts-based representation
TLDR
A novel method, called local non-negative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual patterns, which gives a set of bases which not only allows a non-subtractive representation of images but also manifests localized features. Expand
Facial expression recognition from near-infrared videos
TLDR
A novel research on a dynamic facial expression recognition, using near-infrared (NIR) video sequences and LBP-TOP feature descriptors and component-based facial features are presented to combine geometric and appearance information, providing an effective way for representing the facial expressions. Expand
...
1
2
3
4
5
...