Technical Program

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3D-2: Point Cloud Processing 2

Interactive Q&A Time: Wednesday, September 22, 08:00 - 09:30
Session Chair: Raouf Hamzaoui, De Montfort University
 
 3D-2.1: VIDEO-BASED DYNAMIC MESH CODING
         Danillo Graziosi; Sony Corporation of America
 
 3D-2.2: MESH CLASSIFICATION WITH DILATED MESH CONVOLUTIONS
         Vinit Veerendraveer Singh; University of Delaware
         Shivanand Venkanna Sheshappanavar; University of Delaware
         Chandra Kambhamettu; University of Delaware
 
 3D-2.3: MULTISTREAM VALIDNET: IMPROVING 6D OBJECT POSE ESTIMATION BY AUTOMATIC MULTISTREAM VALIDATION
         Joy Mazumder; Queen's University
         Mohsen Zand; Queen's University
         Michael Greenspan; Queen's University
 
 3D-2.4: PLNL-3DSSD: PART-AWARE 3D SINGLE STAGE DETECTOR USING LOCAL AND NON-LOCAL ATTENTION
         Haizhuang Liu; University of Science and Technology Beijing
         Huimin Ma; University of Science and Technology Beijing
         Yanxian Chen; University of Science and Technology Beijing
         Xi Li; Tsinghua University
         Tianyu Hu; University of Science and Technology Beijing
 
 3D-2.5: LINKED ATTENTION-BASED DYNAMIC GRAPH CONVOLUTION MODULE FOR POINT CLOUD CLASSIFICATION
         Xiao-Long Lu; China University of Petroleum (East China)
         Bao-Di Liu; China University of Petroleum (East China)
         Wei-Feng Liu; China University of Petroleum (East China)
         Kai Zhang; China University of Petroleum (East China)
         Ye Li; Qilu University of Technology (Shandong Academy of Sciences)
         Xiaoping Lu; Haier Industrial Intelligence Institute Co., Ltd
 
 3D-2.6: STRUCTURAL FEATURES IN FEATURE SPACE FOR STRUCTURE-AWARE GRAPH CONVOLUTION
         Yang Li; Tokyo University of Agriculture and Technology
         Yuichi Tanaka; Tokyo University of Agriculture and Technology
 
 3D-2.7: M3VSNET: UNSUPERVISED MULTI-METRIC MULTI-VIEW STEREO NETWORK
         Baichuan Huang; Wuhan University
         Hongwei Yi; Peking University
         Can Huang; Megvii Technology Limited
         Yijia He; Megvii Technology Limited
         Jingbin Liu; Wuhan University
         Xiao Liu; Megvii Technology Limited
 
 3D-2.8: HUMAN MOTION ENHANCEMENT VIA TOBIT PARTICLE FILTERING AND DIFFERENTIAL EVOLUTION
         Le Zhou; Oklahoma State University
         Nate Lannan; Oklahoma State University
         Guoliang Fan; Oklahoma State University
 
 3D-2.9: SPHERERPN: LEARNING SPHERES FOR HIGH-QUALITY REGION PROPOSALS ON 3D POINT CLOUDS OBJECT DETECTION
         Thang Vu; Korea Advanced Institute of Science and Technology
         Kookhoi Kim; Korea Advanced Institute of Science and Technology
         Haeyong Kang; Korea Advanced Institute of Science and Technology
         Xuan Thanh Nguyen; Korea Advanced Institute of Science and Technology
         Tung M. Luu; Korea Advanced Institute of Science and Technology
         Chang D. Yoo; Korea Advanced Institute of Science and Technology
 
 3D-2.10: A METRIC FOR EVALUATING 3D RECONSTRUCTION AND MAPPING PERFORMANCE WITH NO GROUND TRUTHING
         Guoxiang Zhang; University of California, Merced
         YangQuan Chen; University of California, Merced
 
 3D-2.11: SEMI-SUPERVISED 3D OBJECT DETECTION VIA ADAPTIVE PSEUDO-LABELING
         Hongyi Xu; Shanghai Jiao Tong University
         Fengqi Liu; Shanghai Jiao Tong University
         Qianyu Zhou; Shanghai Jiao Tong University
         Jinkun Hao; East China University of Science and Technology
         Zhijie Cao; Shanghai Jiao Tong University
         Zhengyang Feng; Shanghai Jiao Tong University
         Lizhuang Ma; Shanghai Jiao Tong University
 
 3D-2.12: FACE MODELS: HOW GOOD DOES MY DATA NEED TO BE?
         Jiahao Luo; University of California, Santa Cruz
         Fahim Khan; University of California, Santa Cruz
         Issei Mori; University of California, Santa Cruz
         Akila de Silva; University of California, Santa Cruz
         Eric Ruezga; University of California, Santa Cruz
         James Davis; University of California, Santa Cruz