Bo Li, 李波

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Henry JohanFraunhofer SingaporeEmail confirmado em fraunhofer.sg
Yijuan LuAssociate Professor of Computer Science, Texas State UniversityEmail confirmado em txstate.edu
Masaki AonoProfessor, Toyohashi University of TechnologyEmail confirmado em tut.jp
Afzal GodilNational Institute of Standards and Technology, Gaithersburg, MD, USAEmail confirmado em nist.gov
Tobias SchreckProfessor of Computer Science, Graz University of TechnologyEmail confirmado em cgv.tugraz.at
Ryutarou Ohbuchi （大渕竜太郎）University of YamanashiEmail confirmado em yamanashi.ac.jp
Takahiko Furuya (古屋貴彦)University of YamanashiEmail confirmado em yamanashi.ac.jp
Benjamin BustosDepartment of Computer Science, University of ChileEmail confirmado em dcc.uchile.cl
Xiang BaiHuazhong University of Science and Technology (HUST)Email confirmado em hust.edu.cn
Pedro B. PascoalPhD Student, Lisbon UniversityEmail confirmado em ist.utl.pt
Chunyuan LiMicrosoft Research, RedmondEmail confirmado em microsoft.com
José Manuel Saavedra RondoResearch Professor, Faculty of Engineering and Applied Sciences, Universidad de los Andes, ChileEmail confirmado em miuandes.cl
Tianyang WangUniversity of Alabama at BirminghamEmail confirmado em siu.edu
Song Bai - 柏松ByteDance, SingaporeEmail confirmado em robots.ox.ac.uk
Juefei YuanSoutheast Missouri State UniversityEmail confirmado em eagles.usm.edu
Alfredo FerreiraINESC-ID Lisboa / Instituto Superior Técnico / University of LisbonEmail confirmado em tecnico.ulisboa.pt
Minh-Triet TranUniversity of Science & John von Neumann Institute, VNU-HCMEmail confirmado em fit.hcmus.edu.vn
Hameed AbdulUniversity of Illinois at Urbana-ChampaignEmail confirmado em illinois.edu
Hongbo FuProfessor, School of Creative Media, City University of Hong KongEmail confirmado em cityu.edu.hk
Changqing ZOU (ZOU Changqing - 邹...Zhejiang UniversityEmail confirmado em zju.edu.cn

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Bo Li, 李波

University of Southern Mississippi

Email confirmado em usm.edu - Página inicial

3D Object Retrieval Computer Graphics Machine Learning Computer Vision Deep Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
SHREC’17 Track: Large-Scale 3D Shape Retrieval from ShapeNet Core55 M Savva, F Yu, H Su, A Kanezaki, T Furuya, R Ohbuchi, Z Zhou, R Yu, ...	162	2017
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries B Li, Y Lu, C Li, A Godil, T Schreck, M Aono, M Burtscher, Q Chen, ... Computer Vision and Image Understanding 131, 1-27, 2015	149	2015
A comparison of methods for sketch-based 3D shape retrieval B Li, Y Lu, A Godil, T Schreck, B Bustos, A Ferreira, T Furuya, MJ Fonseca, ... Computer Vision and Image Understanding 119, 57-80, 2014	149	2014
SHREC'14 Track: Shape Retrieval of Non-Rigid 3D Human Models D Pickup, X Sun, PL Rosin, RR Martin, Z Cheng, Z Lian, M Aono, ... Eurographics Workshop on 3D Object Retrieval, 101-110, 2014	146*	2014
SHREC'14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval B Li, Y Lu, C Li, A Godil, T Schreck, M Aono, M Burtscher, H Fu, T Furuya, ... Eurographics Workshop on 3D Object Retrieval, 121-130, 2014	135	2014
SHREC’13 Track: Large Scale Sketch-Based 3D Shape Retrieval B Li, Y Lu, A Godil, T Schreck, M Aono, H Johan, JM Saavedra, S Tashiro Eurographics Workshop on 3D Object Retrieval, Girona, Spain, 2013 …, 2013	118	2013
3D model retrieval using hybrid features and class information B Li, H Johan Multimedia Tools Appl. 62 (3), 821-846, 2013	110	2013
SHREC'12 Track: Generic 3D Shape Retrieval. B Li, A Godil, M Aono, X Bai, T Furuya, L Li, RJ López-Sastre, H Johan, ... 3DOR, 119-126, 2012	100	2012
Large-scale 3D shape retrieval from ShapeNet Core55: SHREC'17 track M Savva, F Yu, H Su, A Kanezaki, T Furuya, R Ohbuchi, Z Zhou, R Yu, ... Proceedings of the Workshop on 3D Object Retrieval, 39-50, 2017	89	2017
SHREC'12 Track: Sketch-Based 3D Shape Retrieval. B Li, T Schreck, A Godil, M Alexa, T Boubekeur, B Bustos, J Chen, M Eitz, ... 3DOR, 109-118, 2012	64	2012
Sketch-based 3D model retrieval by incorporating 2D-3D alignment B Li, H Johan Multimedia tools and applications 65 (3), 363-385, 2013	62	2013
Data dropout: Optimizing training data for convolutional neural networks T Wang, J Huan, B Li 2018 IEEE 30th International Conference on Tools with Artificial …, 2018	53	2018
SHREC’14 track: Large scale comprehensive 3D shape retrieval B Li, Y Lu, C Li, A Godil, T Schreck, M Aono, Q Chen, NK Chowdhury, ... Eurographics Workshop on 3D Object Retrieval 2, 2014	50	2014
Sketch-Based 3D Model Retrieval by Viewpoint Entropy-Based Adaptive View Clustering L Bo, L Yijuan, J Henry Eurographics Workshop on 3D Object Retrieval, Girona, Spain, 2013 …, 2013	48	2013
Hybrid shape descriptor and meta similarity generation for non-rigid and partial 3D model retrieval B Li, A Godil, H Johan Multimedia tools and applications 72 (2), 1531-1560, 2014	47	2014
Efficient 3D reflection symmetry detection: A view-based approach B Li, H Johan, Y Ye, Y Lu Graphical Models 83, 2-14, 2016	38	2016
SHREC’16 Track: 3D Sketch-Based 3D Shape Retrieval B Li, Y Lu, F Duan, S Dong, Y Fan, L Qian, H Laga, H Li, Y Li, P Liu, ... Eurographics Workshop on 3D Object Retrieval 2016 (3DOR 2016), 1-8, 2016	30	2016
3D model alignment based on minimum projection area H Johan, B Li, Y Wei, I Iskandarsyah The Visual Computer 27 (6-8), 565-574, 2011	27	2011
SHREC'18 track: 2D image-based 3D scene retrieval H Abdul-Rashid, J Yuan, B Li, Y Lu, S Bai, X Bai, NM Bui, MN Do, T Le Do, ... 11th Eurographics Workshop on 3D Object Retrieval, 3DOR 2018, 37-44, 2018	26	2018
Sketch-based 3D model retrieval utilizing adaptive view clustering and semantic information B Li, Y Lu, H Johan, R Fares Multimedia Tools and Applications, 1-29, 2016	26	2016

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