Technical Program

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
 
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
 
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
 
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
 
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
 
MMSP-L2.5: SIMPLIFIED LEARNING WITH BINARY ORTHOGONAL CONSTRAINTS
         Qiang Huang; University of Edinburgh
 
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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