WA2.L5.2
Best Paper Candidate

WRAPPINGNET: MESH AUTOENCODER VIA DEEP SPHERE DEFORMATION

Eric Lei, University of Pennsylvania, United States of America; Muhammad Asad Lodhi, Jiahao Pang, Junghyun Ahn, Dong Tian, InterDigital, United States of America

Session:
WA2.L5: Point Cloud Processing - I Lecture

Track:
Three-Dimensional Image and Video Processing

Location:
Capital Suite - 17

Presentation Time:
Wed, 30 Oct, 10:48 - 11:06 Gulf Standard Time (UTC +4)

Session Chair:
Wei Zhou, Cardiff University
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Presentation
Discussion
Resources
Session WA2.L5
Best Paper Candidate
WA2.L5.1: FULL-REFERENCE POINT CLOUD QUALITY ASSESSMENT USING SPECTRAL GRAPH WAVELETS
Ryosuke Watanabe, Keisuke Nonaka, KDDI RESEARCH, INC., Japan; Eduardo Pavez, University of Southern California, United States of America; Tatsuya Kobayashi, KDDI RESEARCH, INC., Japan; Antonio Ortega, University of Southern California, United States of America
Best Paper Candidate
WA2.L5.2: WRAPPINGNET: MESH AUTOENCODER VIA DEEP SPHERE DEFORMATION
Eric Lei, University of Pennsylvania, United States of America; Muhammad Asad Lodhi, Jiahao Pang, Junghyun Ahn, Dong Tian, InterDigital, United States of America
WA2.L5.3: IMU-ASSISTED TARGET-FREE EXTRINSIC CALIBRATION OF HETEROGENEOUS LIDARS BASED ON CONTINUOUS-TIME OPTIMIZATION
Zehao Yan, Lin Zhang, Tongji University, China; Zhong Wang, Shanghai Jiao Tong University, China; Shenjie Zhao, Tongji University, China
WA2.L5.4: TSF-Net3D: TSF-Net for 3D Point Cloud Attribute Compression Artifacts Removal
Birendra Kathariya, Zhu Li, University of Missouri-Kansas City, United States of America; Geert Van der Auwera, Qualcomm Technologies Inc., United States of America
WA2.L5.5: LISD: AN EFFICIENT MULTI-TASK LEARNING FRAMEWORK FOR LIDAR SEGMENTATION AND DETECTION
Jiahua Xu, Wuxi Intelligent Control Research Institute, Hunan University, China; Si Zuo, Hunan University, China; Chenfeng Wei, Wuxi Intelligent Control Research Institute, Hunan University, China; Wei Zhou, Cardiff University, United Kingdom of Great Britain and Northern Ireland
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