IVMSP-L5.5
Drop Sparse Convolution for 3D Object Detection
Taohong Zhu, Jun Shen, Chali Wang, Huiyuan Xiong, sun yat-sen university, China
Session:
IVMSP-L5: 3D understanding Lecture
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Room E4
Presentation Time:
Wed, 17 Apr, 14:30 - 14:50 (UTC +9)
Session Chair:
Savas Ozkan, Samsung Research UK
Session IVMSP-L5
IVMSP-L5.1: ACTIVE LEARNING WITH CORE-SET SAMPLING AND SCALE-SENSITIVE LOSS FOR 3D OBJECT DETECTION
Dejun Zhang, Xiaowei Lin, Benxin Yi, Yiqi Wu, China University of Geosciences, China
IVMSP-L5.2: IMFIT: Normal Estimation Via Learning Neural Implicit Surface
Rao FU, Inria, France; Cheng Wen, The University of Sydney, Australia; Qian Li, Inria, France
IVMSP-L5.3: GAMAFLOW: ESTIMATING 3D SCENE FLOW VIA GROUPED ATTENTION AND GLOBAL MOTION AGGREGATION
Zhiqi Li, Xiaosong Yang, Jianjun Zhang, Bournemouth University, United Kingdom of Great Britain and Northern Ireland
IVMSP-L5.4: CAMERA CALIBRATION USING A SINGLE VIEW OF A SYMMETRIC OBJECT
Hui Zhang, Bingran Kuang, BNU-HKBU United International College, China; Yajie Zhao, University of southern california, United States of America
IVMSP-L5.5: Drop Sparse Convolution for 3D Object Detection
Taohong Zhu, Jun Shen, Chali Wang, Huiyuan Xiong, sun yat-sen university, China
IVMSP-L5.6: AUTOREGRESSIVE 3D SHAPE COMPLETION VIA SPHERE-GUIDED DISENTANGLED REPRESENTATION
Jiahui Li, Pourya Shamsolmoali, Yue Lu, East China Normal University, China
Contacts