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
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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 |
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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 |
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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 |
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IVMSP-P3.4: ALL YOU NEED IS A SECOND LOOK: TOWARDS TIGHTER ARBITRARY SHAPE TEXT DETECTION |
Meng Cao; Peking University |
Yuexian Zou; Peking University |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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