Li Liu
li.liu@oulu.fi
dreamliu2010@gmail.com

Center for Machine Vision and Signal Analysis, University of Oulu, Finland
Office: TS303

Biography: Li Liu received the B.S. degree in communication engineering, the M.S. degree in photogrammetry and remote sensing and the Ph.D. degree in information and communication engineering from the National University of Defense Technology, China, in 2003, 2005 and 2012, respectively. During her PhD study, she spent more than two years as a Visiting Student at the University of Waterloo, Canada, from 2008 to 2010. From 2015 to 2016, she visited the Multimedia Laboratory at the Chinese University of Hong Kong. Since 2016.12, she has been working at the Center for Machine Vision and Signal analysis of the University of Oulu, Finland.

Google Scholar

Research Interests: Texture Analysis, Image Classification, Object detection, Scene understanding, Facial Analysis


Latest Events


Past Events


Students

Yawen Cui (2019-2023)
PhD student
Zhuo Su (2018-2022)
PhD student
Changchong Sheng (2019-2021)
Visiting PhD student
Linpu Fang (2019-2020)
Visiting PhD student
Wanxia Deng (2018-2020)
Visiting PhD student
Xiaoding Chen
Master student
Chengyu Guo
Master student
Wenzhe Liu
Master student
Linbin Zhang
Cosupervised PhD student
Ming Li
Cosupervised PhD student
Past students: Xin Zhang, Jingyun Liang, Shuxuan Guo

Research Grants


Publications


Publications in 2019

2019

Deep Learning for Generic Object Detection: A Survey
Li Liu, Wanli Ouyang, Xiaogang Wang, P. Fieguth, J. Chen, X. Liu, M. Pietikainen
IJCV, 2019
arxiv


Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision
Li Liu, M Pietikäinen, J Chen, G Zhao, X Wang, R Chellappa
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (10), 2019
pdf


2019

BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition
Zhuo Su, Matti Pietikäinen, Li Liu
BMVC, 2019
pdf / code / zhuo's blog


2019

Multiple Kernel Clustering with Neighbor Kernel Subspace Segmentation
Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin
TNNLS, 2019


2019

A Constrained Sparse Representation Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery
Qiang Ling, Yulan Guo, Zaiping Lin, Li Liu, Wei An
IEEE Journal of Selected Topics In Applied Earth Observations and Remote Sensing, 2019
IEEE Xplore


2019

Sparse Subspace Clustering for Evolving Data Streams
Jinping Sui, Zhen Liu, Li Liu, Alexander Jung, Tianpeng Liu, Bo Peng, Xiang Li
ICASSP, 2019
IEEE Xplore


2019 Dynamic Texture Recognition Using 3D Random Features
Xiaochao Zhao, Yaping Lin, Li Liu
ICASSP, 2019


2019

CycleMatch: A cycle-consistent embedding network for image-text matching
Yu Liu, Yanming Guo, Li Liu, Erwin Bakkera, Michael S. Lew
Pattern Recognition, 2019


2019

Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns
Qiwu Luo, Xiaoxin Fang, Yichuang Sun, Li Liu, Jiaqiu Ai, Chunhua Yang, Oluyomi Simpson
IEEE Access, 2019
IEEE Xplore


2019

SwapGAN: A Multi-stage Generative Approach for Person-to-Person Fashion Style Transfer
Yu Liu, Wei Chen, Li Liu, Michael S. Lew
TMM, 2019
IEEE Xplore


2019

Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding
Xiaochao Zhao, Yaping Lin, Li Liu, Janne Heikkila, Wenming Zheng
TMM, 2019
IEEE Xplore


2019

Texture Classification in Extreme Scale Variations using GANet
Li Liu, Jie Chen, Guoying Zhao, Paul Fieguth, Xilin Chen, Matti Pietikanen
TIP, 2019
arxiv


2019

Absent Multiple Kernel Learning Algorithms
Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou and Jianping Yin
TPAMI, 2019
IEEE Xplore








Professional Activities

Editorial and Cochair

  • Associate Editor of The Visual Computer Journal
  • Guest Editor of Special Issue colorRoLoD: Robust local descriptors for computer vision for the journal of Neurocomputing
  • Guest Editor of Special Issue Compact and Efficient Feature Representation and Learning in Computer Vision for the journal of IEEE Transactions on Pattern Analysis and Machine Intelligence
  • CoChair of the International Workshop on RoLoD: Robust local descriptors for computer vision at ACCV2014
  • CoChair of the International Workshop on RoF: Robust Features for Computer Vision at CVPR2016
  • CoChair of the International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision at ICCV2017

Journal Paper Review

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Geosciences Remote Sensing
  • Pattern Recognition
  • Image and Vision Computing
  • Computer Vision and Image Understanding

Conference Paper Review

  • Internal Conference of Computer Vision and Pattern Recognition
  • European Conference on Computer Vision
  • International Conference on Computer Vision
  • International Conference on Image Processing
  • Asian Conference on Computer Vision

The webpage template is from Georgia Gkioxari and Jon Barron