Technical Program

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IVMSP-P3: Machine Learning For Image/Video Processing I

Session Type: Poster
Time: Tuesday, 5 May, 16:30 - 18:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Francesca Odone, Università degli studi di Genova
 
 IVMSP-P3.1: A CONNECTED AUTO-ENCODERS BASED APPROACH FOR IMAGE SEPARATION WITH SIDE INFORMATION: WITH APPLICATIONS TO ART INVESTIGATION
         Wei Pu; University College London
         Barak Sober; Duke University
         Nathan Daly; National Gallery
         Catherine Higgitt; National Gallery
         Ingrid Daubechies; Duke University
         Miguel Rodrigues; University College London
 
 IVMSP-P3.2: SELF-SUPERVISED ADVERSARIAL TRAINING
         Kejiang Chen; University of Science and Technology of China
         Yuefeng Chen; Alibaba group
         Hang Zhou; University of Science and Technology of China
         Xiaofeng Mao; Alibaba group
         Yuhong Li; Alibaba group
         Yuan He; Alibaba group
         Hui Xue; Alibaba group
         Weiming Zhang; University of Science and Technology of China
         NengHai Yu; University of Science and Technology of China
 
 IVMSP-P3.3: GRAY-SCALE IMAGE COLORIZATION USING CYCLE-CONSISTENT GENERATIVE ADVERSARIAL NETWORKS WITH RESIDUAL STRUCTURE ENHANCER
         Mohammad Mahdi Johari; Sharif University of Technology
         Hamid Behroozi; Sharif University of Technology
 
 IVMSP-P3.4: ALL YOU NEED IS A SECOND LOOK: TOWARDS TIGHTER ARBITRARY SHAPE TEXT DETECTION
         Meng Cao; Peking University
         Yuexian Zou; Peking University
 
 IVMSP-P3.5: COMPARE LEARNING: BI-ATTENTION NETWORK FOR FEW-SHOT LEARNING
         Li Ke; Alibaba Group
         Meng Pan; Alibaba Group
         Weigao Wen; Alibaba Group
         Dong Li; Alibaba Group
 
 IVMSP-P3.6: ARNET:ATTENTION-BASED REFINEMENT NETWORK FOR FEW-SHOT SEMANTIC SEGMENTATION
         Rusheng Li; Shen Zhen Graduate School, Peking University
         Hanhui Liu; Shen Zhen Graduate School, Peking University
         Yuesheng Zhu; Shen Zhen Graduate School, Peking University
         Zhiqiang Bai; Shen Zhen Graduate School, Peking University
 
 IVMSP-P3.7: LIGHTDET: A LIGHTWEIGHT AND ACCURATE OBJECT DETECTION NETWORK
         Qiankun Tang; Institute of Computing Technology, Chinese Academy of Sciences
         Jie Li; Institute of Computing Technology, Chinese Academy of Sciences
         Zhiping Shi; Capital Normal University
         Yu Hu; Institute of Computing Technology, Chinese Academy of Sciences
 
 IVMSP-P3.8: SELF-SUPERVISED DEEP LEARNING FOR FISHEYE IMAGE RECTIFICATION
         Chun-Hao Chao; National Taiwan University
         Pin-Lun Hsu; National Taiwan University
         Hung-Yi Lee; National Taiwan University
         Yu-Chiang Frank Wang; National Taiwan University
 
 IVMSP-P3.9: SKETCHPPNET: A JOINT PIXEL AND POINT CONVOLUTIONAL NEURAL NETWORK FOR LOW RESOLUTION SKETCH IMAGE RECOGNITION
         Xianyi Zhu; Hunan University
         Yi Xiao; Hunan University
         Yan Zheng; Hunan University
         Guanghua Tan; Hunan University
         Shizhe Zhou; Hunan University
 
 IVMSP-P3.10: ALL IN ONE NETWORK FOR DRIVER ATTENTION MONITORING
         Dawei Yang; Fudan University
         Xinlei Li; Fudan University
         Xiaotian Dai; University of York
         Rui Zhang; Fudan University
         Lizhe Qi; Fudan University
         Wenqiang Zhang; Fudan University
         Zhe Jiang; University of York
 
 IVMSP-P3.11: UNSUPERVISED DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATION WITH SYMMETRIC ADAPTATION CONSISTENCY
         Zongyao Li; Hokkaido University
         Ren Togo; Hokkaido University
         Takahiro Ogawa; Hokkaido University
         Miki Haseyama; Hokkaido University
 
 IVMSP-P3.12: IQ-STAN: IMAGE QUALITY GUIDED SPATIO-TEMPORAL ATTENTION NETWORK FOR LICENSE PLATE RECOGNITION
         Cong Zhang; Northwestern Polytechnical University
         Qi Wang; Northwestern Polytechnical University
         Xuelong Li; Northwestern Polytechnical University