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Cross-Domain Image-Based 3D Shape Retrieval by View Sequence Learning
2018 International Conference on 3D Vision (3DV)
◽
10.1109/3dv.2018.00038
◽
2018
◽
Cited By ~ 5
Author(s):
Tang Lee
◽
Yen-Liang Lin
◽
Hungyueh Chiang
◽
Ming-Wei Chiu
◽
Winston Hsu
◽
...
Keyword(s):
Sequence Learning
◽
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
◽
Cross Domain
Download Full-text
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References
From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields
Computer Vision – ECCV 2014 - Lecture Notes in Computer Science
◽
10.1007/978-3-319-10590-1_32
◽
2014
◽
pp. 489-504
◽
Cited By ~ 9
Author(s):
Yan Wang
◽
Jie Feng
◽
Zhixiang Wu
◽
Jun Wang
◽
Shih-Fu Chang
Keyword(s):
Low Cost
◽
Regression Tree
◽
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
◽
Depth Sensors
◽
Cross Domain
Download Full-text
CLN: Cross-domain Learning Network for 2D Image-based 3D Shape Retrieval
IEEE Transactions on Circuits and Systems for Video Technology
◽
10.1109/tcsvt.2021.3070969
◽
2021
◽
pp. 1-1
Author(s):
Weizhi Nie
◽
Yue Zhao
◽
Jie Niea
◽
An-An Liu
◽
Sicheng Zhaob
Keyword(s):
Shape Retrieval
◽
3D Shape Retrieval
◽
Learning Network
◽
3D Shape
◽
Cross Domain
◽
Domain Learning
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Scale Space Graph Representation and Kernel Matching for Non Rigid and Textured 3D Shape Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
◽
10.1109/tpami.2015.2477823
◽
2016
◽
Vol 38
(6)
◽
pp. 1258-1271
◽
Cited By ~ 10
Author(s):
Valeria Garro
◽
Andrea Giachetti
Keyword(s):
Scale Space
◽
Graph Representation
◽
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
Download Full-text
Towards Fine-Grained Sketch-Based 3D Shape Retrieval
IEEE Transactions on Image Processing
◽
10.1109/tip.2021.3118975
◽
2021
◽
pp. 1-1
Author(s):
Anran Qi
◽
Yulia Gryaditskaya
◽
Jifei Song
◽
Yongxin Yang
◽
Yonggang Qi
◽
...
Keyword(s):
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
◽
Fine Grained
Download Full-text
3D Shape Descriptor by Principal Component Analysis Embedding for Non-rigid 3D Shape Retrieval in A Learning Framework
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)
◽
10.1109/ddcls52934.2021.9455676
◽
2021
◽
Author(s):
Chunmei Duan
◽
Meizhen Liu
Keyword(s):
Principal Component Analysis
◽
Principal Component
◽
Shape Descriptor
◽
Component Analysis
◽
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
◽
Learning Framework
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Partial 3D Shape Retrieval by Reeb Pattern Unfolding
Computer Graphics Forum
◽
10.1111/j.1467-8659.2008.01190.x
◽
2009
◽
Vol 28
(1)
◽
pp. 41-55
◽
Cited By ~ 59
Author(s):
Julien Tierny
◽
Jean-Philippe Vandeborre
◽
Mohamed Daoudi
Keyword(s):
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
Download Full-text
Semantic Similarity Metric Learning for Sketch-Based 3D Shape Retrieval
Computational Science – ICCS 2021 - Lecture Notes in Computer Science
◽
10.1007/978-3-030-77977-1_5
◽
2021
◽
pp. 59-69
Author(s):
Yu Xia
◽
Shuangbu Wang
◽
Lihua You
◽
Jianjun Zhang
Keyword(s):
Semantic Similarity
◽
Metric Learning
◽
Shape Retrieval
◽
3D Shape Retrieval
◽
Similarity Metric
◽
3D Shape
Download Full-text
3D shape retrieval using point bidirectional features
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology
◽
10.1109/iccsnt.2013.6967085
◽
2013
◽
Author(s):
Hui Chen
◽
Jingqi Yan
Keyword(s):
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
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A 3D-shape retrieval system to improve the text retrieval
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS
◽
10.1109/icosp.2010.5656118
◽
2010
◽
Author(s):
Junqing Zhang
◽
Lili Wan
Keyword(s):
Retrieval System
◽
Text Retrieval
◽
Shape Retrieval
◽
3D Shape Retrieval
◽
3D Shape
Download Full-text
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning From Unlabeled Videos and 3D-Shape Retrieval
IEEE Transactions on Image Processing
◽
10.1109/tip.2018.2867270
◽
2019
◽
Vol 28
(1)
◽
pp. 279-290
◽
Cited By ~ 3
Author(s):
Nenad Markus
◽
Igor Pandzic
◽
Jorgen Ahlberg
Keyword(s):
Shape Retrieval
◽
3D Shape Retrieval
◽
Local Descriptors
◽
3D Shape
◽
Face Matching
Download Full-text
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