2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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3D-1: Point Cloud Processing 1

Session Type: Poster

Time: Tuesday, September 21, 15:30 - 17:00

Location: Area J

Session Chair: Weisi Lin, Nanyang Technological University

3D-1.1: ADAE: ADVERSARIAL DISTRIBUTED SOURCE AUTOENCODER FOR POINT CLOUD COMPRESSION

Simone Milani; University of Padova

3D-1.2: CYLINDRICAL COORDINATES FOR LIDAR POINT CLOUD COMPRESSION

Shashank Nelamangala Sridhara; University of Southern California

Eduardo Pavez; University of Southern California

Antonio Ortega; University of Southern California

3D-1.3: STRAIGHT SAMPLING NETWORK FOR POINT CLOUD LEARNING

Ran Sun; Huazhong University of Science and Technology

Gaojie Chen; Huazhong University of Science and Technology

Jie Ma; Huazhong University of Science and Technology

Pei An; Huazhong University of Science and Technology

3D-1.4: ATTENTION-BASED LOCAL REGION AGGREGATION NETWORK FOR HIERARCHICAL POINT CLOUD LEARNING

Gaojie Chen; Huazhong University of Science and Technology

Ran Sun; Huazhong University of Science and Technology

Jie Ma; Huazhong University of Science and Technology

Bingli Wu; Huazhong University of Science and Technology

3D-1.6: TD-NET: TOPOLOGY DESTRUCTION NETWORK FOR GENERATING ADVERSARIAL POINT CLOUD

Jingyu Zhang; University of Electronic Science and Technology of China

Chunhua Jiang; University of Electronic Science and Technology of China

Xupeng Wang; University of Electronic Science and Technology of China

Mumuxin Cai; University of Electronic Science and Technology of China

3D-1.7: POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDS

Seyed Saber Mohammadi; Universita degli Studi di Genova, Istituto Italino di Tecnologia

Yiming Wang; Istituto Italino di Tecnologia, Deep Visual Learning (DVL)

Alessio Del Bue; Istituto Italino di Tecnologia

3D-1.8: RGB-D FUSION FOR POINT-CLOUD-BASED 3D HUMAN POSE ESTIMATION

Jiaming Ying; Shanghai Jiao Tong University

Xu Zhao; Shanghai Jiao Tong University

3D-1.9: SPCR: SEMI-SUPERVISED POINT CLOUD INSTANCE SEGMENTATION WITH PERTURBATION CONSISTENCY REGULARIZATION

Yongbin Liao; Fudan University

Hongyuan Zhu; Agency for Science, Technology and Research (A*STAR)

Tao Chen; Fudan University

Jiayuan Fan; Fudan University

3D-1.10: TOWARD UNSUPERVISED 3D POINT CLOUD ANOMALY DETECTION USING VARIATIONAL AUTOENCODER

Mana Masuda; Keio University

Ryo Hachiuma; Keio University

Ryo Fujii; Keio University

Hideo Saito; Keio University

Yusuke Sekikawa; Denso IT Laboratory

3D-1.11: 3D POINT CLOUD COMPLETION USING STACKED AUTO-ENCODER FOR STRUCTURE PRESERVATION

Seema Kumari; Indian Institute of Technology Gandhinagar

Shanmuganathan Raman; Indian Institute of Technology Gandhinagar

3D-1.12: D3DLO: DEEP 3D LIDAR ODOMETRY

Philipp Adis; RWTH Aachen University

Nicolas Horst; RWTH Aachen University

Mathias Wien; RWTH Aachen University