Technical Program

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MMSP-P2: Deep Learning for Multimedia Processing and Analysis I

Session Type: Poster
Time: Thursday, 7 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Guo-Jun Qi, Huawei
 
 MMSP-P2.1: A VISUAL-PILOT DEEP FUSION FOR TARGET SPEECH SEPARATION IN MULTI-TALKER NOISY ENVIRONMENT
         Yun Li; Alibaba Group
         Zhang Liu; Alibaba Group
         Yueyue Na; Alibaba Group
         Ziteng Wang; Alibaba Group
         Biao Tian; Alibaba Group
         Qiang Fu; Alibaba Group
 
 MMSP-P2.2: C3DVQA: FULL-REFERENCE VIDEO QUALITY ASSESSMENT WITH 3D CONVOLUTIONAL NEURAL NETWORK
         Munan Xu; Peking University Shenzhen Graduate School
         Junming Chen; Peking University Shenzhen Graduate School
         Haiqiang Wang; Tencent
         Shan Liu; Tencent
         Ge Li; Peking University Shenzhen Graduate School
         Zhiqiang Bai; Peking University Shenzhen Graduate School
 
 MMSP-P2.3: EXPLORING ENTITY-LEVEL SPATIAL RELATIONSHIPS FOR IMAGE-TEXT MATCHING
         Yaxian Xia; Peking University
         Lun Huang; Peking University
         Wenmin Wang; Peking University; Macau University of Science and Technology
         Xiao-Yong Wei; Peng Cheng Laboratory
         Jie Chen; Peking University; Peng Cheng Laboratory
 
 MMSP-P2.4: A DEEP MULTIMODAL APPROACH FOR MAP IMAGE CLASSIFICATION
         Tomoya Sawada; Doshisha University
         Marie Katsurai; Doshisha University
 
 MMSP-P2.5: SELECTIVE CONVOLUTIONAL NETWORK: AN EFFICIENT OBJECT DETECTOR WITH IGNORING BACKGROUND
         Hefei Ling; Huazhong University of Science and Technology
         Yangyang Qin; Huazhong University of Science and Technology
         Li Zhang; Huazhong University of Science and Technology
         Yuxuan Shi; Huazhong University of Science and Technology
         Ping Li; Huazhong University of Science and Technology
 
 MMSP-P2.6: BACK-AND-FORTH PREDICTION FOR DEEP TENSOR COMPRESSION
         Hyomin Choi; Simon Fraser University
         Robert A. Cohen; Simon Fraser University
         Ivan V. Bajić; Simon Fraser University
 
 MMSP-P2.7: EFFECTIVE PIPELINE FOR COMPRESSING DEEP OBJECT DETECTORS
         Yiwu Yao; Peking University
         Zheng Fang; Zhejiang University
         Bin Dong; R&D Center, NetEase Inc
         Sen Zhou; R&D Center, NetEase Inc
 
 MMSP-P2.8: GATED MECHANISM FOR ATTENTION BASED MULTIMODAL SENTIMENT ANALYSIS
         Ayush Kumar; Observe.AI
         Jithendra Vepa; Observe.AI
 
 MMSP-P2.9: MULTITASK LEARNING AND MULTISTAGE FUSION FOR DIMENSIONAL AUDIOVISUAL EMOTION RECOGNITION
         Bagus Tris Atmaja; Japan Advanced Institute of Science and Technology
         Masato Akagi; Japan Advanced Institute of Science and Technology
 
 MMSP-P2.10: OBJECT DETECTION AND 3D ESTIMATION VIA AN FMCW RADAR USING A FULLY CONVOLUTIONAL NETWORK
         Guoqiang Zhang; University of Technology Sydney
         Haopeng Li; Qamcom Research and Technology AB
         Fabian Wenger; Qamcom Research and Technology AB