Hongdong Li - Google Scholar Citations

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	All	Since 2014
Citations	6021	5181
h-index	37	33
i10-index	92	81

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Co-authors

Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Yuchao DaiNorthwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Mathieu SalzmannEPFLVerified email at epfl.ch
Worapan KusakunniranFaculty of Information and Communication Technology, Mahidol UniversityVerified email at mahidol.edu
Qiang WuAssociate Professor, School of Electrical and Data Engineering, University of Technology SydneyVerified email at uts.edu.au
Jian ZhangUniversity of Technology, Sydney, AustraliaVerified email at uts.edu.au
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Laurent KneipProfessorVerified email at shanghaitech.edu.cn
Jiaolong YangMicrosoft ResearchVerified email at microsoft.com
Pan JiPh.D., NEC Labs AmericaVerified email at nec-labs.com
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Sadeep JayasumanaUniversity of OxfordVerified email at robots.ox.ac.uk
Gao ZhuPhd Student, Australian National UniversityVerified email at anu.edu.au
He MingyiNorthwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Fatih PorikliAustralian National University, HuaweiVerified email at anu.edu.au
yunde jiaProfessor of Computer Science, Beijing Institute of TechnologyVerified email at bit.edu.cn
Michael FelsbergProfessor of Computer Vision, Linköping UniversityVerified email at liu.se
Roman PflugfelderScientist at Austrian Institute of Technology (AIT), Lecturer at TU WienVerified email at ait.ac.at
Jiri MatasProfessor, Czech Technical UniversityVerified email at cmp.felk.cvut.cz
Gustav HägerLinköping UniversityVerified email at liu.se

Hongdong Li

Australian National University

Verified email at anu.edu.au - Homepage

Computer Vision Machine Learning Artificial Intelligence Pattern Recognition


Title	Cited by	Year
The Visual Object Tracking VOT2015 Challenge Results etc. Kristan, Matej and Matas, Jiri and Leonardis, Ales and Felsberg ... ICCV workshop, Proceedings of the IEEE International Conference on Computer …, 2015	911*	2015
Rotation averaging R Hartley, J Trumpf, Y Dai, H Li International journal of computer vision 103 (3), 267-305, 2013	287	2013
Kernel methods on the Riemannian manifold of symmetric positive definite matrices S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 73-80, 2013	232	2013
Go-icp: Solving 3d registration efficiently and globally optimally J Yang, H Li, Y Jia Proceedings of the IEEE International Conference on Computer Vision, 1457-1464, 2013	230	2013
Five-point motion estimation made easy H Li, R Hartley 18th International Conference on Pattern Recognition (ICPR'06) 1, 630-633, 2006	204	2006
A simple prior-free method for non-rigid structure-from-motion factorization Y Dai, H Li, M He International Journal of Computer Vision 107 (2), 101-122, 2014	192	2014
Go-ICP: A globally optimal solution to 3D ICP point-set registration J Yang, H Li, D Campbell, Y Jia IEEE transactions on pattern analysis and machine intelligence 38 (11), 2241 …, 2015	170	2015
Neural aggregation network for video face recognition J Yang, P Ren, D Zhang, D Chen, F Wen, H Li, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2017	158	2017
Multiple views gait recognition using view transformation model based on optimized gait energy image W Kusakunniran, Q Wu, H Li, J Zhang 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009	152	2009
The 3D-3D registration problem revisited H Li, R Hartley 2007 IEEE 11th international conference on computer vision, 1-8, 2007	132	2007
Gait recognition under various viewing angles based on correlated motion regression W Kusakunniran, Q Wu, J Zhang, H Li IEEE transactions on circuits and systems for video technology 22 (6), 966-980, 2012	129	2012
Beyond local search: Tracking objects everywhere with instance-specific proposals G Zhu, F Porikli, H Li Proceedings of the IEEE conference on computer vision and pattern …, 2016	126	2016
Support vector regression for multi-view gait recognition based on local motion feature selection W Kusakunniran, Q Wu, J Zhang, H Li 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	126	2010
Kernel methods on Riemannian manifolds with Gaussian RBF kernels S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi IEEE transactions on pattern analysis and machine intelligence 37 (12), 2464 …, 2015	104	2015
A non-iterative method for correcting lens distortion from nine point correspondences H Li, R Hartley OMNIVIS 2005 2, 7, 2005	94	2005
Consensus set maximization with guaranteed global optimality for robust geometry estimation H Li 2009 IEEE 12th International Conference on Computer Vision, 1074-1080, 2009	92	2009
A linear approach to motion estimation using generalized camera models H Li, R Hartley, J Kim 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	86	2008
Dense, accurate optical flow estimation with piecewise parametric model J Yang, H Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	85	2015
UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability L Kneip, H Li, Y Seo European Conference on Computer Vision, 127-142, 2014	76	2014
A new view-invariant feature for cross-view gait recognition W Kusakunniran, Q Wu, J Zhang, Y Ma, H Li IEEE Transactions on Information Forensics and Security 8 (10), 1642-1653, 2013	74	2013

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