Technical Program

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WA.P9: Action Recognition II

Session Type: Poster
Time: Wednesday, October 10, 10:30 - 12:10
Location: Poster Area 9
Session Chair: Sergio Velastin, Queen Mary University of London
 
 WA.P9.1: ACTION RECOGNITION WITH SPATIAL-TEMPORAL REPRESENTATION ANALYSIS ACROSS GRASSMANNIAN MANIFOLD AND EUCLIDEAN SPACE
         Xinshu Qiao; Nanjing University of Science and Technology
         Chuanwei Zhou; Nanjing University of Science and Technology
         Chunyan Xu; Nanjing University of Science and Technology
         Zhen Cui; Nanjing University of Science and Technology
         Jian Yang; Nanjing University of Science and Technology
 
 WA.P9.2: ACTION RECOGNITION: FIRST-AND SECOND-ORDER 3D FEATURE IN BI-DIRECTIONAL ATTENTION NETWORK
         Oh Chul Kwon; KAIST
         Junyeong Kim; KAIST
         Chang D. Yoo; KAIST
 
 WA.P9.3: KEY JOINTS SELECTION AND SPATIOTEMPORAL MINING FOR SKELETON-BASED ACTION RECOGNITION
         Zhikai Wang; Shanghai Jiao Tong University
         Chongyang Zhang; Shanghai Jiao Tong University
         Wu Luo; Shanghai Jiao Tong University
         Weiyao Lin; Shanghai Jiao Tong University
 
 WA.P9.4: TICNN: A HIERARCHICAL DEEP LEARNING FRAMEWORK FOR STILL IMAGE ACTION RECOGNITION USING TEMPORAL IMAGE PREDICTION
         Marjaneh Safaei; University of Central Florida
         Pooyan Balouchian; University of Central Florida
         Hassan Foroosh; University of Central Florida
 
 WA.P9.5: SPATIOTEMPORAL PYRAMID POOLING IN 3D CONVOLUTIONAL NEURAL NETWORKS FOR ACTION RECOGNITION
         Cheng Cheng; University of Chinese Academy of Sciences
         Pin Lv; Institute of Software, Chinese Academy of Sciences
         Bing Su; Institute of Software, Chinese Academy of Sciences
 
 WA.P9.6: ACTION RECOGNITION BASED ON DISCRIMINATIVE EMBEDDING OF ACTIONS USING SIAMESE NETWORKS
         Debaditya Roy; Indian Institute of Technology, Hyderabad
         Krishna Mohan C.; Indian Institute of Technology, Hyderabad
         Sri Rama Murty K.; Indian Institute of Technology, Hyderabad
 
 WA.P9.7: SPATIAL-TEMPORAL DATA AUGMENTATION BASED ON LSTM AUTOENCODER NETWORK FOR SKELETON-BASED HUMAN ACTION RECOGNITION
         Juanhui Tu; Peking University
         Hong Liu; Peking University
         Fanyang Meng; Peking University, Shenzhen Institute of Information Technology
         Mengyuan Liu; Nanyang Technological University
         Runwei Ding; Peking University
 
 WA.P9.8: SKELETAL MOVEMENT TO COLOR MAP: A NOVEL REPRESENTATION FOR 3D ACTION RECOGNITION WITH INCEPTION RESIDUAL NETWORKS
         Huy-Hieu Pham; Cerema - Centre for Studies and Expertise on Risks, Mobility, Land Planning and the Environment
         Louahdi Khoudour; Cerema - Centre for Studies and Expertise on Risks, Mobility, Land Planning and the Environment
         Alain Crouzil; Universit√© de Toulouse, UPS
         Pablo Zegers; Aparnix
         Sergio Velastin; University Carlos III Madrid