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Home > Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV > 3D Human Pose Estimation with 2D Human Pose and Depthmap
Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV |
Haiqin Yang; Kitsuchart Pasupa; Andrew Chi-Sing Leung; James T. Kwok; Jonathan H. Chan; Irwin King
Springer International Publishing
Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part IV
3D Human Pose Estimation with 2D Human Pose and Depthmap
Authors

Zhiheng Zhou; Yue Cao; Xuanying Zhu; Henry Gardner; Hongdong Li

ARI Id

1665287862131_5737968

Access

Not Available Free

Pages

267-274

DOI

10.1007/978-3-030-63820-7_30

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-63820-7_30

Table of Contents of Book
Showing 1 to 20 of 104 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxix
Front Matter
1-1
A Hybrid Representation of Word Images for Keyword Spotting
Hongxi Wei; Jing Zhang; Kexin Liu
3-10
A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway
Kai Xue; Yiyu Ding; Zhirong Yang; Natasa Nord; Mael Roger Albert Barillec; Hans Martin Mathisen et al.
11-22
An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction
Rasmita Panigrahi; Lov Kumar; Sanjay Kumar Kuanar
23-31
Prediction Model of Breast Cancer Based on mRMR Feature Selection
Junwen Di; Zhiguo Shi
32-40
Clustering Ensemble Selection with Analytic Hierarchy Process
Wei Liu; Xiaodong Yue; Caiming Zhong; Jie Zhou
41-49
Deep Learning for In-Vehicle Intrusion Detection System
Elies Gherbi; Blaise Hanczar; Jean-Christophe Janodet; Witold Klaudel
50-58
Efficient Binary Multi-view Subspace Learning for Instance-Level Image Retrieval
Zhijian Wu; Jun Li; Jianhua Xu
59-68
Hyper-Sphere Support Vector Classifier with Hybrid Decision Strategy
Shuang Liu; Peng Chen
69-77
Knowledge Graph Embedding Based on Relevance and Inner Sequence of Relations
Jia Peng; Neng Gao; Min Li; Jun Yuan
78-86
MrPC: Causal Structure Learning in Distributed Systems
Thin Nguyen; Duc Thanh Nguyen; Thuc Duy Le; Svetha Venkatesh
87-94
Online Multi-objective Subspace Clustering for Streaming Data
Dipanjyoti Paul; Sriparna Saha; Jimson Mathew
95-103
Predicting Information Diffusion Cascades Using Graph Attention Networks
Meng Wang; Kan Li
104-112
PrivRec: User-Centric Differentially Private Collaborative Filtering Using LSH and KD
Yifei Zhang; Neng Gao; Junsha Chen; Chenyang Tu; Jiong Wang
113-121
Simultaneous Customer Segmentation and Behavior Discovery
Siqi Zhang; Ling Luo; Zhidong Li; Yang Wang; Fang Chen; Richard Xu
122-130
Structural Text Steganography Using Unseen Tag Attribute Values
Feno H. Rabevohitra; Yantao Li
131-139
Trajectory Anomaly Detection Based on the Mean Distance Deviation
Xiaoyuan Hu; Qing Xu; Yuejun Guo
140-147
Tweet Relevance Based on the Theory of Possibility
Amina Ben Meriem; Lobna Hlaoua; Lotfi Ben Romdhane
148-156
Front Matter
157-157
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 104 entries
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