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
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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 |
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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 |
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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 |
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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 |
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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 |
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MLSP-P16.6: FROM LOCAL TO GLOBAL SUBSPACE CLUSTERING FOR IMAGE DATA |
Maryam Abdolali; Amirkabir university of technology |
Mohammad Rahmati; Amirkabir university of technology |
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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 |
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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 |
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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 |
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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 |
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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 |
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