IVMSP-33.2
Weakly Supervised Point Cloud Upsampling via Optimal Transport
Zezeng Li, Weimin Wang, Na Lei, Rui Wang, Dalian University of Technology, China
Session:
Point Cloud Processing
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area I
Presentation Time:
Thu, 12 May, 20:00 - 20:45 China Time (UTC +8)
Thu, 12 May, 12:00 - 12:45 UTC
Thu, 12 May, 12:00 - 12:45 UTC
Session Chair:
Dongyuan Shi, Nanyang Technological University
Session IVMSP-33
IVMSP-33.1: FLOW-BASED POINT CLOUD COMPLETION NETWORK WITH ADVERSARIAL REFINEMENT
Rong Bao, Yurui Ren, Ge Li, Wei Gao, Peking University Shenzhen Graduate School, China; Shan Liu, Tencent, China
IVMSP-33.2: Weakly Supervised Point Cloud Upsampling via Optimal Transport
Zezeng Li, Weimin Wang, Na Lei, Rui Wang, Dalian University of Technology, China
IVMSP-33.3: POINT CLOUD DENOISING USING NORMAL VECTOR-BASED GRAPH WAVELET SHRINKAGE
Ryosuke Watanabe, Keisuke Nonaka, Haruhisa Kato, Tatsuya Kobayashi, KDDI Research, Inc., Japan; Eduardo Pavez, Antonio Ortega, University of Southern California, United States of America
IVMSP-33.4: Dynamic Point Cloud Interpolation
Anique Akhtar, Zhu Li, University of Missouri Kansas City, United States of America; Geert Van der Auwera, Jianle Chen, Qualcomm Technologies Inc., United States of America
IVMSP-33.5: POINT CLOUD ATTRIBUTE COMPRESSION VIA CHROMA SUBSAMPLING
Shashank Nelamangala Sridhara, Eduardo Pavez, Antonio Ortega, University of Southern California, United States of America; Ryosuke Watanabe, Keisuke Nonaka, KDDI Research, Inc, Japan
IVMSP-33.6: RANGEINET: FAST LIDAR POINT CLOUD TEMPORAL INTERPOLATION
Lili Zhao, Xuhu Lin, Wenyi Wang, Jianwen Chen, University of Electronic Science and Technology of China, China; Kai-Kuang Ma, Nanyang Technological University, Singapore