Senior Researcher, Computer Vision,
yi dot li at nicta dot com dot au
L1-31, Tower A, 7 London Circuit, Canberra, ACT 2601
office: +61 2 6267 6236
Adjunct Lecturer, CECS,
yi dot li at cecs dot anu dot edu dot au
Computer Vision, Machine Learning, Human Pose Analysis, Cognitive Robotics, and Bionic Vision.
Dr. Yi Li received his Ph.D from the ECE Dept. at the University of Maryland at College Park.
He joined NICTA as a Researcher since 2011 in the Visual Processing for Bionic Eye (VIBE) project, and was promoted to Senior Researcher in 2013.
He was the recipient Future Faculty Fellow at Maryland from 2008-2010,
received the Best Student paper of ICHFR, and the second price in the Semantic Robot Vision Challenge (SRVC).
His recent areas of interest include human pose estimation and deep learning for computer vision.
He was the session chair for CVPR 2014, co-chair for the DeepVision: Deep Learning for Computer Vision workshop in conjunction with CVPR 2014 and 2015, area chair of the WACV 2015, and served in the TPC of a number of conferences and workshops such as ACM Multimedia 2015 and DICTA 2015. He was invited to give talks in the University of Tokyo, NIST, AT&T Labs, and ACCV 2014 workshop. His work on deep learning and robotics was recently interviewed by Compass (UK), SBS and Channel 9 (AU) and TheAustralian (AU), and was reported by Washington Post, Fox News, USA Today, Discovery Channel, as well as other major US media.
'Semantic Vectorization: From Bitmaps to Intelligent Representations' (A$ 370,100) from the Australian Research Council, with Fatih Porikli and Mehrtash Harandi.
Deep Vision 2: Deep learning for Computer Vision Workshop, in conjunction with CVPR 2015
with Yann Lecun, Jose Alvarez, and Fatih Porikli
Deep Vision: Deep learning for Computer Vision Workshop, in conjunction with CVPR 2014
with Yann Lecun, Jose Alvarez, and Fatih Porikli
Session Chair: CVPR 2014, ICPR 2012
Area Chair, WACV 2015
TPC: DICTA 2014, Deep Learning on Visual Data
- Deep Learning
F. Wang, L. Kang, and Y. Li, Sketch-based 3D Shape Retrieval using Convolutional Neural Net, CVPR 2015, (oral)
Y. Yang, C. Fermuller, Y. Li, and Y. Aloimonos Grasp Type Revisited: A Modern Perspective on A Classical Feature for Vision, CVPR, 2015.
Y. Yang, Y. Li, C. Fermuller, and Y. Aloimonos, Robot Learning Manipulation Action Plans by 'Watching' Unconstrained Videos From the World Wide, AAAI 2015, (oral).
H. Li, Y. Li, and F. Porikli, DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking, BMVC 2014 (code)
L. Kang, Y. Peng, Y. Li, and D. Doermann, CNN for No-Reference Image Quality Assessment, CVPR 2014
Q. Ke and Y. Li, Is Rotation a Nuisance in Shape Recognition?, CVPR 2014 (code/project, pdf)
L. Kang, P. Ye, Y. Li, and D. Doermann, A Deep Learning Approach to Document Image Quality Assessment, ICIP 2014
L. Kang, J. Kumar, P. Ye, Y. Li, and D.Doermann, Convolutional Neural Networks for Document Image Classification, ICPR 2014
- Visual tracking
H. Zhu and Y. Li, Fast Inference of Contaminated Data for Real Time Object Tracking, ACCV 2014
- Human Pose Estimation
F. Wang and Y. Li, Beyond Physical Connections: Tree Models in Human Pose Estimation, CVPR 2013, (oral)
F. Wang and Y. Li, Learning Visual Symbols for Parsing Human Poses in Images, IJCAI 2013, (oral)
A. Ausilio, L. Badino, Y. Li, S. Tokay, L. Craighero, et al., Leadership in Orchestra Emerges
from the Causal Relationships of Movement Kinematics, PLoS ONE 7(5): e35757, 2012
Y. Li, C. Fermuller, Y. Aloimonos, and H. Ji, Learning shift-invariant sparse representation of actions, CVPR 2010
- Recognizing texts in images
L. Kang, Y. Li, and D. Doermann, Orientation Robust Textline Detection in Natural Images, CVPR 2014
Y. Li, Y. Zheng, D. Doerman, and S. Jaeger, Script-Independent Text Line Segmentation in
Freestyle Handwritten Documents, IEEE Trans. Pattern Anal. Machine Intell., vol. 30, no. 8, pp. 1313-1329, August, 2008
G. Zhu, X. Yu, Y. Li, and D. Doermann, Language Identification for Handwritten Document
Images Using A Shape Codebook, Pattern Recognition, 2008
Y. Li, Z. Wang, and H. Zeng, Correlation Filter: An Accurate Approach to Detect and Locate
Low Contrast Character Strings In Complex Table Environment, IEEE Trans. Pattern Anal. Machine Intell., vol. 26, no. 12, pp. 1639-1644, December, 2004
- Image deblurring
F. Wang, T. Li, and Y. Li, Dual Deblurring Leveraged by Image Matching, ICIP 2013
F. Wang and Y. Li, Robust Kernel Estimation for Single Image Blind Deconvolution, ICPR 2012
- Object Recognition
Y. Li, K. Bitsakos, C. Fermuller, and Y. Aloimonos, Real-Time Shape Retrieval for Robotics Using Skip Tri-Grams, IROS 2009
G. Zhu, X. Yu, Y. Li and D. Doermann, Learning Visual Shape Lexicon for Document Image Content Recognition, ECCV 2008
Y. Li and D. Jacobs, Efficiently Determining Silhouette Consistency, CVPR 2007
X. Yu, Y. Li, C. Fermuller, and D. Doermann, Object Detection Using A Shape Codebook, BMVC 2007
- Bionic Eye
F. Wang and Y. Li, A Filtering process for human detection in Bionic Eye, EMBC 2013
X. Tang and Yi Li, Lightness illusion: A new look from Compressive Sensing perspective, ICIP 2012
Y. Li, C. McCarthy, and N. Barnes, On Just Noticeable Dierence for Bionic Eye, EMBC 2012
N. Barnes, P. Lieby, H. Dennet, J. Walker, C. McCarthy, N. Liu, and Y. Li Investigating the
role of single-viewpoint depth data in visually-guided mobility, Vision Science 2011
I am actively seeking motivated graduate students and visiting students around the world.
NICTA is able to provide a full or top-up scholarship for PhD students and support visitors in various forms.
Please send me your resume if you are interested in collaborating with me (though your formal application must
through ANU admission office if you plan to pursue a graduate degree).
Chinese Scholarship Council (CSC) students: Australian National University and the China Scholarship Council
(CSC) have a collaborative arrangement to provide research opportunities to select high quality research students from China.
CSC scholarship recipients will be able to enrol in the ANU PhD program for up to four years full-time study.
NICTA also welcomes the CSC visitors to collaborate in many projects.
- PhD Students
- Song Wang (with N. Barnes), Fang Wang, and K. Park (with S. Gould)
- Master Students
- Ashley Stacey (with N. Barnes), Andrew (with Dr. J. Zhang and Dr. J. Steel, NICTA)
- Summer Scholar
- Tianxing Li and Xinke Tang (RMIT)
ANU Computer Vision, ENGN 4528/6528 (2012)
NICTA Computer Vision Short Course (2011, 2012)