Yi Li

Cited by

	All	Since 2016
Citations	2970	2319
h-index	21	20
i10-index	27	22

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Co-authors

David DoermannProfessor, University at BuffaloVerified email at buffalo.edu
Le KangBaidu Research (previous: Houzz, University of Maryland)Verified email at umd.edu
Cornelia FermullerResearch Scientist, Computer Vision and Human Vision, University of MarylandVerified email at cfar.umd.edu
AloimonosProfessor of Computer Science, University of Maryland, Director Computer Vision LaboratoryVerified email at cs.umd.edu
Fatih PorikliQualcomm, Australian National UniversityVerified email at anu.edu.au
Peng YeAirbnbVerified email at umd.edu
Fang WangAustralian National UniversityVerified email at anu.edu.au
Hanxi LiJiangxi Normal Univeristy, ChinaVerified email at nicta.com.au
Yezhou YangAssistant Professor, Computer Science, Arizona State UniversityVerified email at asu.edu
Stefan JaegerNational Institutes of HealthVerified email at nih.gov
Guangyu ZhuSoftware Engineer, GoogleVerified email at google.com
Luciano FadigaCenter Coordinator, Istituto Italiano di Tecnologia; Professor of Physiology, University of FerraraVerified email at iit.it
Laila CraigheroProfessor of Psychobiology, University of Ferrara, ItalyVerified email at unife.it
Alessandro D'AusilioUniversity of Ferrara & Italian Institute of TechnologyVerified email at unife.it
Leonardo BadinoPerVoiceVerified email at pervoice.it
Nick BarnesProfessor, Australian National UniversityVerified email at anu.edu.au
Jayant KumarAdobe Inc. (previous: Apple Inc., Xerox PARC, University of Maryland)Verified email at umiacs.umd.edu
Hui Ji (纪辉）Applied mathematics, National University of SingaporeVerified email at nus.edu.sg
Aiwen JiangCollege of Computer and Information EngineeringVerified email at jxnu.edu.cn
Ashley StaceyResearch Engineer, NICTAVerified email at nicta.com.au

Yi Li

Google Brain

Verified email at google.com - Homepage

Computer Vision Deep Learning Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Convolutional Neural Networks for No-Reference Image Quality Assessment L Kang, P Ye, Y Li, D Doermann The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014	620	2014
Sketch-based 3d shape retrieval using convolutional neural networks F Wang, L Kang, Y Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	285	2015
Deeptrack: Learning discriminative feature representations online for robust visual tracking H Li, Y Li, F Porikli IEEE Transactions on Image Processing 25 (4), 1834-1848, 2015	246	2015
Script-independent text line segmentation in freestyle handwritten documents Y Li, Y Zheng, D Doermann, S Jaeger IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1313-1329, 2008	230	2008
Robot learning manipulation action plans by" watching" unconstrained videos from the world wide web Y Yang, Y Li, C Fermuller, Y Aloimonos Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	175	2015
Deeptrack: Learning discriminative feature representations by convolutional neural networks for visual tracking. H Li, Y Li, F Porikli BMVC 1 (2), 3, 2014	150	2014
Leadership in orchestra emerges from the causal relationships of movement kinematics A D'Ausilio, L Badino, Y Li, S Tokay, L Craighero, R Canto, Y Aloimonos, ... PLoS one 7 (5), e35757, 2012	141	2012
Orientation Robust Textline Detection in Natural Images L Kang, Y Li, D Doermann Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014	140	2014
Beyond Physical Connections: Tree Models in Human Pose Estimation F Wang, Y Li Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013	132	2013
A New Algorithm for Detecting Text Line in Handwritten Documents SJ Yi Li, Yefeng Zheng, David Doermann International Workshop on Frontiers in Handwriting Recognition (IWFHR), 2006	122*	2006
Robust online visual tracking with a single convolutional neural network H Li, Y Li, F Porikli Asian Conference on Computer Vision, 194-209, 2014	94	2014
Convolutional neural networks for document image classification L Kang, J Kumar, P Ye, Y Li, D Doermann 2014 22nd International Conference on Pattern Recognition, 3168-3172, 2014	93	2014
Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks L Kang, P Ye, Y Li, D Doermann 2015 IEEE international conference on image processing (ICIP), 2791-2795, 2015	88	2015
Learning shift-invariant sparse representation of actions Y Li, C Fermuller, Y Aloimonos, H Ji 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	60	2010
A deep learning approach to document image quality assessment L Kang, P Ye, Y Li, D Doermann 2014 IEEE International Conference on Image Processing (ICIP), 2570-2574, 2014	50	2014
Grasp type revisited: A modern perspective on a classical feature for vision Y Yang, C Fermuller, Y Li, Y Aloimonos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	49	2015
Compositional memory for visual question answering A Jiang, F Wang, F Porikli, Y Li arXiv preprint arXiv:1511.05676, 2015	39	2015
Language identification for handwritten document images using a shape codebook G Zhu, X Yu, Y Li, D Doermann pattern recognition 42 (12), 3184-3191, 2009	37	2009
Object detection using a shape codebook X Yu, L Yi, C Fermuller, D Doermann British Machine Vision Conference 4, 2007	37	2007
Is Rotation a Nuisance in Shape Recognition? Q Ke, Y Li Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014	24	2014

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