Login Paper Search My Schedule Paper Index Help

My ICIP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

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