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

CI-1: Theory for Computational Imaging

Session Type: Poster
Time: Wednesday, 9 June, 15:30 - 16:15
Location: Gather.Town
 
CI-1.1: GATE TRIMMING: ONE-SHOT CHANNEL PRUNING FOR EFFICIENT CONVOLUTIONAL NEURAL NETWORKS
         Fang Yu; Institute of Computing Technology, Chinese Academy of Sciences
         Chuanqi Han; Institute of Computing Technology, Chinese Academy of Sciences
         Pengcheng Wang; Institute of Computing Technology, Chinese Academy of Sciences
         Xi Huang; Institute of Computing Technology, Chinese Academy of Sciences
         Li Cui; Institute of Computing Technology, Chinese Academy of Sciences
 
CI-1.2: DEEP S3PR: SIMULTANEOUS SOURCE SEPARATION AND PHASE RETRIEVAL USING DEEP GENERATIVE MODELS
         Christopher Metzler; Stanford University
         Gordon Wetzstein; Stanford University
 
CI-1.3: ADVERSARIAL ATTACKS ON OBJECT DETECTORS WITH LIMITED PERTURBATIONS
         Zhenbo Shi; 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 Chen; University of Science and Technology of China
         Yingjie Li; University of Science and Technology of China
         Haoran Zhu; University of Queensland
         Liusheng Huang; University of Science and Technology of China
 
CI-1.4: A CONSENSUS EQUILIBRIUM SOLUTION FOR DEEP IMAGE PRIOR POWERED BY RED
         Rakib Hyder; University of California, Riverside
         Hassan Mansour; Mitsubishi Electric Research Laboratories (MERL)
         Yanting Ma; Mitsubishi Electric Research Laboratories (MERL)
         Petros Boufounos; Mitsubishi Electric Research Laboratories (MERL)
         Pu Wang; Mitsubishi Electric Research Laboratories (MERL)
 
CI-1.5: SUREMAP: PREDICTING UNCERTAINTY IN CNN-BASED IMAGE RECONSTRUCTIONS USING STEIN'S UNBIASED RISK ESTIMATE
         Ruangrawee Kitichotkul; Stanford University
         Christopher Metzler; Stanford University
         Frank Ong; Stanford University
         Gordon Wetzstein; Stanford University
 
CI-1.6: MULTI-INITIALIZATION META-LEARNING WITH DOMAIN ADAPTATION
         Zhengyu Chen; Westlake University
         Donglin Wang; Westlake University