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My ICASSP 2019 Schedule

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MLSP-P16: Image and Video Applications

Session Type: Poster
Time: Friday, May 17, 08:30 - 10:30
Location: Poster Area G, East Landing, First Floor
Session Chair: Karim Seghouane, The University of Melbourne
 
  MLSP-P16.1: ITERATIVELY REWEIGHTED PENALTY ALTERNATING MINIMIZATION METHODS WITH CONTINUATION FOR IMAGE DEBLURRING
         Tao Sun; National University of Defense Technology
         Dongsheng Li; National University of Defense Technology
         Hao Jiang; National University of Defense Technology
         Zhe Quan; Hunan University
 
  MLSP-P16.2: LOW-RESOLUTION VISUAL RECOGNITION VIA DEEP FEATURE DISTILLATION
         Mingjian Zhu; Peking University
         Kai Han; Peking University
         Chao Zhang; Peking University
         Jinlong Lin; Peking University
         Yunhe Wang; Peking University
 
  MLSP-P16.3: ACCURATE VEHICLE DETECTION USING MULTI-CAMERA DATA FUSION AND MACHINE LEARNING
         Hao Wu; Southern Methodist University
         Xinxiang Zhang; Southern Methodist University
         Brett Story; Southern Methodist University
         Dinesh Rajan; Southern Methodist University
 
  MLSP-P16.4: SEMANTIC SUPER-RESOLUTION FOR EXTREMELY LOW-RESOLUTION VEHICLE LICENSE PLATE
         Yuexian Zou; Peking University
         Yi Wang; The Chinese University of Hong Kong
         Wenjie Guan; Peking University
         Wenwu Wang; University of Surrey
 
  MLSP-P16.5: A WEIGHT-SHARED DUAL-BRANCH CONVOLUTIONAL NEURAL NETWORK FOR UNSUPERVISED DENSE DEPTH PREDICTION AND CAMERA MOTION ESTIMATION
         Hong Liu; Peking University
         Yaofeng Dong; Peking University
         Weibo Huang; Peking University
 
  MLSP-P16.6: FROM LOCAL TO GLOBAL SUBSPACE CLUSTERING FOR IMAGE DATA
         Maryam Abdolali; Amirkabir university of technology
         Mohammad Rahmati; Amirkabir university of technology
 
  MLSP-P16.7: ESTIMATION OF GAZE REGION USING TWO DIMENSIONAL PROBABILISTIC MAPS CONSTRUCTED USING CONVOLUTIONAL NEURAL NETWORKS
         Sumit Jha; The University of Texas at Dallas
         Carlos Busso; The University of Texas at Dallas
 
  MLSP-P16.8: SELECTING OPTIMAL PROPOSAL NUMBER FOR IMAGE-BASED OBJECT DETECTION
         Wenjie Guan; Peking University
         Xiaoqun Zhou; Peking University
         Ge Li; Peking University Shenzhen Graduate School
         Yuexian Zou; Peking University Shenzhen Graduate School
 
  MLSP-P16.9: A SEQUENTIAL GUIDING NETWORK WITH ATTENTION FOR IMAGE CAPTIONING
         Daouda Sow; Beihang University
         Zengchang Qin; Beihang University
         Mouhamed Niasse; North China Electric Power University
         Tao Wan; Beihang University
 
  MLSP-P16.10: NEAR-INFRARED IMAGE GUIDED NEURAL NETWORKS FOR COLOR IMAGE DENOISING
         Xuehui Wang; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology
         Feng Dai; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology
         Yike Ma; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology
         Junbo Guo; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology
         Qiang Zhao; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology
         Yongdong Zhang; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology
 
  MLSP-P16.11: LEARNING COMPACT PARTIAL DIFFERENTIAL EQUATIONS FOR COLOR IMAGES WITH EFFICIENCY
         Zhenyu Zhao; National University of Defense Technology
         Chenping Hou; National University of Defense Technology
         Bo Lin; National University of Defense Technology
         Cong Fang; Peking University