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FR3.I: Attention Networks

Session Type: Lecture
Time: Friday, 8 May, 15:15 - 17:15
Location: On-Demand
Session Chair: Zhanyu Ma, Beijing University of Posts and Telecommunications
 
   FR3.I.1: ATTENTIVE MODALITY HOPPING MECHANISM FOR SPEECH EMOTION RECOGNITION
         Seunghyun Yoon; Seoul National University
         Subhadeep Dey; Idiap Research Institute
         Hwanhee Lee; Seoul National University
         Kyomin Jung; Seoul National University
 
   FR3.I.2: FACIAL EMOTION RECOGNITION USING LIGHT FIELD IMAGES WITH DEEP ATTENTION-BASED BIDIRECTIONAL LSTM
         Alireza Sepas-Moghaddam; Queen's University
         Ali Etemad; Queen's University
         Fernando Pereira; Instituto Superior T├ęcnico, Universidade de Lisboa
         Paulo Lobato Correia; Instituto Superior T├ęcnico, Universidade de Lisboa
 
   FR3.I.3: A REGULARIZED ATTENTION MECHANISM FOR GRAPH ATTENTION NETWORKS
         Uday Shankar Shanthamallu; Arizona State University
         Jayaraman J Thiagarajan; Lawrence Livermore National Laboratory
         Andreas Spanias; Arizona State University
 
   FR3.I.4: ATTENTIVE ITEM2VEC: NEURAL ATTENTIVE USER REPRESENTATIONS
         Oren Barkan; Microsoft
         Avi Caciularu; Bar-Ilan University
         Ori Katz; Microsoft
         Noam Koenigstein; Microsoft
 
   FR3.I.5: AUDIO SOUND DETERMINATION USING FEATURE SPACE ATTENTION BASED CONVOLUTION RECURRENT NEURAL NETWORK
         Xianjun Xia; Tencent
         Jingjing Pan; China University of Mining and Technology
         Yannan Wang; Tencent
 
   FR3.I.6: SPATIAL ATTENTIONAL BILINEAR 3D CONVOLUTIONAL NETWORK FOR VIDEO-BASED AUTISM SPECTRUM DISORDER DETECTION
         Kangbo Sun; Shanghai Jiao Tong University
         Lin Li; Shanghai Jiao Tong University
         Lianqiang Li; Shanghai Jiao Tong University
         Ningyu He; Shanghai Jiao Tong University
         Jie Zhu; Shanghai Jiao Tong University