B
Bo Li
Researcher at University of Southern Mississippi
Publications - 64
Citations - 1409
Bo Li is an academic researcher from University of Southern Mississippi. The author has contributed to research in topics: Sketch & Visual Word. The author has an hindex of 19, co-authored 63 publications receiving 1253 citations. Previous affiliations of Bo Li include Texas State University & National Institute of Standards and Technology.
Papers
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Journal ArticleDOI
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
Bo Li,Yijuan Lu,Chunyuan Li,Afzal Godil,Tobias Schreck,Masaki Aono,Martin Burtscher,Qiang Chen,Nihad Karim Chowdhury,Bin Fang,Hongbo Fu,Takahiko Furuya,Haisheng Li,Jianzhuang Liu,Henry Johan,Ryuichi Kosaka,Hitoshi Koyanagi,Ryutarou Ohbuchi,Atsushi Tatsuma,Yajuan Wan,Chaoli Zhang,Changqing Zou +21 more
TL;DR: A more comprehensive comparison of twenty-six 3D shape retrieval methods is performed by evaluating them on the common benchmark, compiled to be a superset of existing benchmarks and presents a new challenge to retrieval methods.
Journal ArticleDOI
A comparison of methods for sketch-based 3D shape retrieval
Bo Li,Bo Li,Yijuan Lu,Afzal Godil,Tobias Schreck,Benjamin Bustos,Alfredo Ferreira,Takahiko Furuya,Manuel J. Fonseca,Henry Johan,Takahiro Matsuda,Ryutarou Ohbuchi,Pedro B. Pascoal,Jose M. Saavedra +13 more
TL;DR: A more comprehensive comparison of fifteen best sketch-based 3D shape retrieval methods is performed by completing the evaluation of each method on both benchmarks.
Proceedings ArticleDOI
SHREC'13 track: large scale sketch-based 3D shape retrieval
Bo Li,Yijuan Lu,Afzal Godil,Tobias Schreck,Masaki Aono,Henry Johan,Jose M. Saavedra,Shoki Tashiro +7 more
TL;DR: The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods based on a large scale hand-drawn sketch query dataset which has 7200 sketches and a generic 3D model target dataset containing 1258 3D models.
Proceedings ArticleDOI
SHREC'12 track: generic 3D shape retrieval
Bo Li,Afzal Godil,Masaki Aono,X. Bai,Takahiko Furuya,L. Li,Roberto J. López-Sastre,Henry Johan,Ryutarou Ohbuchi,Carolina Redondo-Cabrera,Atsushi Tatsuma,T. Yanagimachi,Shixiong Zhang +12 more
TL;DR: The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented by different participants over the world and their retrieval accuracies were evaluated using 7 commonly used performance metrics.
Proceedings Article
SHREC'14 Track: Shape retrieval of non-rigid 3D human models
David Pickup,Ralph R. Martin,Paul L. Rosin,Xianfang Sun,Zhi-Quan Cheng,Zhouhui Lian,Masaki Aono,A. Ben Hamza,Alexander M. Bronstein,Michael M. Bronstein,Shuhui Bu,Umberto Castellani,Sheng Cheng,Valeria Garro,Andrea Giachetti,Afzal Godil,Junwei Han,Henry Johan,L. Lai,Bo Li,Chenfeng Li,Haisheng Li,Roee Litman,Xin-Bi Liu,Z. Liu,Yijuan Lu,Atsushi Tatsuma,Jianbo Ye +27 more
TL;DR: In this article, the authors created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets and features exclusively human models, in a variety of body shapes and poses.