MMSP-L2: Deep Learning Representations in Multimedia |
Session Type: Lecture |
Time: Wednesday, March 23, 13:30 - 15:30 |
Location: Room 3E |
Session Chairs: Florian Metze, Carnegie Mellon University and Homer Chen, National Taiwan University
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MMSP-L2.1: ALADDIN: A LOCALITY ALIGNED DEEP MODEL FOR INSTANCE SEARCH |
Wenhui Jiang; Beijing University of Posts and Telecommunications |
Zhicheng Zhao; Beijing University of Posts and Telecommunications |
Fei Su; Beijing University of Posts and Telecommunications |
Anni Cai; Beijing University of Posts and Telecommunications |
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MMSP-L2.2: LDADEEP+: LATENT ASPECT DISCOVERY WITH DEEP REPRESENTATIONS |
Chieh-En Tsai; National Taiwan University |
Hui-Lan Hsieh; National Taiwan University |
Winston Hsu; National Taiwan University |
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MMSP-L2.3: COMPACT CONVOLUTIONAL NEURAL NETWORK TRANSFER LEARNING FOR SMALL-SCALE IMAGE CLASSIFICATION |
Zengxi Li; University of Science and Technology of China |
Yan Song; University of Science and Technology of China |
Ian McLoughlin; University of Kent |
Li-Rong Dai; University of Science and Technology of China |
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MMSP-L2.4: AUDIO-BASED MULTIMEDIA EVENT DETECTION USING DEEP RECURRENT NEURAL NETWORKS |
Yun Wang; Carnegie Mellon University |
Leonardo Neves; Carnegie Mellon University |
Florian Metze; Carnegie Mellon University |
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MMSP-L2.5: SIMPLIFIED LEARNING WITH BINARY ORTHOGONAL CONSTRAINTS |
Qiang Huang; University of Edinburgh |
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MMSP-L2.6: LONG SHORT TERM MEMORY RECURRENT NEURAL NETWORK BASED ENCODING METHOD FOR EMOTION RECOGNITION IN VIDEO |
Linlin Chao; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
Jianhua Tao; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
Minghao Yang; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
Ya Li; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
Zhengqi Wen; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
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