2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

IVMSP-34: Inpaiting and Occlusions Handling

Session Type: Poster
Time: Friday, 11 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: Eduardo A B da Silva, Federal University of Rio de Janeiro
 
IVMSP-34.1: SEMANTIC-AWARE CONTEXT AGGREGATION FOR IMAGE INPAINTING
         Zhilin Huang; Peking University
         Chujun Qin; Peking University
         Ruixin Liu; Peking University
         Zhenyu Weng; Peking University
         Yuesheng Zhu; Peking University
 
IVMSP-34.2: BISHIFT-NET FOR IMAGE INPAINTING
         Xue Zhou; Tsinghua University
         Tao Dai; Tsinghua University
         Yong Jiang; Tsinghua University
         Shutao Xia; Tsinghua University
 
IVMSP-34.3: OAS-NET: OCCLUSION AWARE SAMPLING NETWORK FOR ACCURATE OPTICAL FLOW
         Lingtong Kong; Shanghai Jiao Tong University
         Xiaohang Yang; Shanghai Jiao Tong University
         Jie Yang; Shanghai Jiao Tong University
 
IVMSP-34.4: MASK4D: 4D CONVOLUTION NETWORK FOR LIGHT FIELD OCCLUSION REMOVAL
         Yingjie Li; University of Science and Technology of China
         Wei Yang; University of Science and Technology of China
         Zhenbo Xu; University of Science and Technology of China
         Zhi Cheng; University of Science and Technology of China
         Zhenbo Shi; University of Science and Technology of China
         Yi Zhang; University of Science and Technology of China
         Liusheng Huang; University of Science and Technology of China
 
IVMSP-34.5: SELF-SUPERVISED DEPTH ESTIMATION VIA IMPLICIT CUES FROM VIDEOS
         Jianrong Wang; College of Intelligence and Computing, Tianjin University
         Ge Zhang; College of Intelligence and Computing, Tianjin University
         Zhenyu Wu; College of Intelligence and Computing, Tianjin University
         Xuewei Li; College of Intelligence and Computing, Tianjin University
         Li Liu; Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong, Shenzhen
 
IVMSP-34.6: SCENE COMPLETENESS-AWARE LIDAR DEPTH COMPLETION FOR DRIVING SCENARIO
         Cho-Ying Wu; University of Southern California
         Ulrich Neumann; University of Southern California