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FR2.I: Neural Networks Applications II

Session Type: Poster
Time: Friday, 8 May, 11:45 - 13:45
Location: On-Demand
Session Chair: Chandra Sekhar Seelamantula, Indian Institute of Science
 
   FR2.I.1: DETECTION OF MILD DYSPNEA FROM PAIRS OF SPEECH RECORDINGS
         Sander Boelders; Eindhoven University of Technology
         Venkata Srikanth Nallanthighal; Philips Research and Radboud University
         Vlado Menkovski; Eindhoven University of Technology
         Aki Härmä; Philips Research
 
   FR2.I.2: A HYBRID MODEL FOR BIPOLAR DISORDER CLASSIFICATION FROM VISUAL INFORMATION
         Niloufar Abaei; University of Ottawa
         Hussein Al Osman; University of Ottawa
 
   FR2.I.3: AUTOMATIC EVENT DETECTION OF REM SLEEP WITHOUT ATONIA FROM POLYSOMNOGRAPHY SIGNALS USING DEEP NEURAL NETWORKS
         Phillip Wallis; Oregon Health & Science University
         Daniel Yaeger; Oregon Health & Science University
         Alexander Kain; Oregon Health & Science University
         Xubo Song; Oregon Health & Science University
         Miranda Lim; Oregon Health & Science University / Veterans Affairs Portland Health Care System
 
   FR2.I.4: A DEEP LEARNING ARCHITECTURE FOR EPILEPTIC SEIZURE CLASSIFICATION BASED ON OBJECT AND ACTION RECOGNITION
         Tamás Karácsony; INESC TEC - Institute for Systems and Computer Engineering, Technology and Science
         Anna Mira Loesch-Biffar; University of Munich
         Christian Vollmar; University of Munich
         Soheyl Noachtar; University of Munich
         Joao Paulo Silva Cunha; INESC TEC - Institute for Systems and Computer Engineering, Technology and Science
 
   FR2.I.5: TRANSFORMING SEISMOCARDIOGRAMS INTO ELECTROCARDIOGRAMS BY APPLYING CONVOLUTIONAL AUTOENCODERS
         Marian Haescher; Fraunhofer Gesellschaft
         Florian Höpfner; Fraunhofer Gesellschaft
         Wencke Chodan; Fraunhofer Gesellschaft
         Dimitri Kraft; Universität Rostock
         Mario Aehnelt; Fraunhofer Gesellschaft
         Bodo Urban; Universität Rostock
 
   FR2.I.6: IMPROVED NEAREST NEIGHBOR DENSITY-BASED CLUSTERING TECHNIQUES WITH APPLICATION TO HYPERSPECTRAL IMAGES
         Claude Cariou; Univ Rennes, CNRS
         Kacem Chehdi; Univ Rennes, CNRS
         Steven Le Moan; Massey University
 
   FR2.I.7: OBJECT SURFACE ESTIMATION FROM RADAR IMAGES
         Oded Bialer; General Motors
         David Shapiro; General Motors
         Amnon Jonas; General Motors
 
   FR2.I.8: COUNTING DENSE OBJECTS IN REMOTE SENSING IMAGES
         Guangshuai Gao; Beihang University
         Qingjie Liu; Beihang University
         Yunhong Wang; Beihang University
 
   FR2.I.9: HPRNN: A HIERARCHICAL SEQUENCE PREDICTION MODEL FOR LONG-TERM WEATHER RADAR ECHO EXTRAPOLATION
         Jinrui Jing; National University of Defense Technology
         Qian Li; National University of Defense Technology
         Xuan Peng; National University of Defense Technology
         Qiang Ma; National University of Defense Technology
         Shaoen Tang; National University of Defense Technology
 
   FR2.I.10: ACCURATE 6D OBJECT POSE ESTIMATION BY POSE CONDITIONED MESH RECONSTRUCTION
         Pedro Castro; Imperial College London
         Anil Armagan; Imperial College London
         Tae-Kyun Kim; Imperial College London
 
   FR2.I.11: CPWC: CONTEXTUAL POINT WISE CONVOLUTION FOR OBJECT RECOGNITION
         Pratik Mazumder; Indian Institute of Technology Kanpur
         Pravendra Singh; Indian Institute of Technology Kanpur
         Vinay Namboodiri; Indian Institute of Technology Kanpur
 
   FR2.I.12: ELECTRIC ANALOG CIRCUIT DESIGN WITH HYPERNETWORKS AND A DIFFERENTIAL SIMULATOR
         Michael Rotman; Tel Aviv University
         Lior Wolf; Tel Aviv University