Technical Program

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MLSP-P16: Neural Networks Applications III

Session Type: Poster
Time: Friday, 8 May, 15:15 - 17:15
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Jing Liu, University of Illinois, Urbana-Champaign
 
 MLSP-P16.1: EFFICIENT SCENE TEXT DETECTION WITH TEXTUAL ATTENTION TOWER
         Liang Zhang; Xidian University
         Yufei Liu; Xidian University
         Hang Xiao; OrionStar Ltd.
         Lu Yang; Xidian University
         Guangming Zhu; Xidian University
         Syed Afaq Shah; Murdoch University
         Mohammed Bennamoun; University of Western Australia
         Peiyi Shen; Xidian University
 
 MLSP-P16.2: A HYBRID APPROACH FOR THERMOGRAPHIC IMAGING WITH DEEP LEARNING
         Péter Kovács; Johannes Kepler University Linz
         Bernhard Lehner; Silicon Austria Labs
         Gregor Thummerer; University of Applied Sciences Upper Austria
         Günther Mayr; University of Applied Sciences Upper Austria
         Peter Burgholzer; Research Center for Non Destructive Testing (RECENDT)
         Mario Huemer; Johannes Kepler University Linz
 
 MLSP-P16.3: KNOWLEDGE ENHANCED LATENT RELEVANCE MINING FOR QUESTION ANSWERING
         Dong Wang; Tsinghua Shenzhen International Graduate School, Tsinghua University
         Ying Shen; Sun Yat-Sen University
         Hai-Tao Zheng; Tsinghua Shenzhen International Graduate School, Tsinghua University
 
 MLSP-P16.4: MULTI-LABEL CONSISTENT CONVOLUTIONAL TRANSFORM LEARNING: APPLICATION TO NON-INTRUSIVE LOAD MONITORING
         Shikha Singh; Indraprastha Institute of Information Technology Delhi
         Jyoti Maggu; Indraprastha Institute of Information Technology Delhi
         Angshul Majumdar; Indraprastha Institute of Information Technology Delhi
         Emilie Chouzenoux; Inria Saclay, OPIS, Center for Visual Computing
         Giovanni Chierchia; Université Paris Est, ESIEE
 
 MLSP-P16.5: RESILIENT DISTRIBUTED RECOVERY OF LARGE FIELDS
         Yuan Chen; Carnegie Mellon University
         Soummya Kar; Carnegie Mellon University
         José Moura; Carnegie Mellon University
 
 MLSP-P16.6: TRAINING LSTM FOR UNSUPERVISED ANOMALY DETECTION WITHOUT A PRIORI KNOWLEDGE
         Yann Cherdo; Mantu
         Paul de Kerret; Mantu
         Renaud Pawlak; Mantu
 
 MLSP-P16.7: UNSUPERVISED PERSON RE-IDENTIFICATION USING MULTI-BRANCH FEATURE COMPENSATION NETWORK AND LINK-BASED CLUSTER DISSIMILARITY METRIC
         Lin Pan; Peking University
         Gege Qi; Peking University
         Biao Guo; Peking University
         Yuesheng Zhu; Peking University
 
 MLSP-P16.8: DEEP-SST-EDDIES: A DEEP LEARNING FRAMEWORK TO DETECT OCEANIC EDDIES IN SEA SURFACE TEMPERATURE IMAGES
         Evangelos Moschos; École Polytechnique
         Olivier Schwander; Sorbonne Université
         Alexandre Stegner; École Polytechnique
         Patrick Gallinari; Sorbonne Université / Criteo AI Lab
 
 MLSP-P16.9: INTERPRETABILITY-GUIDED CONVOLUTIONAL NEURAL NETWORKS FOR SEISMIC FAULT SEGMENTATION
         Zhining Liu; University of Electronic Science and Technology of China
         Cheng Zhou; University of Electronic Science and Technology of China
         Guangmin Hu; University of Electronic Science and Technology of China
         Chengyun Song; Chongqing University of Technology
 
 MLSP-P16.10: TOWARDS HIGH-PERFORMANCE OBJECT DETECTION: TASK-SPECIFIC DESIGN CONSIDERING CLASSIFICATION AND LOCALIZATION SEPARATION
         Jung Uk Kim; Korea Advanced Institute of Science and Technology (KAIST)
         Seong Tae Kim; Technische Universität München
         Eun Sung Kim; Korea Advanced Institute of Science and Technology (KAIST)
         Sang-Keun Moon; Korea Electric Power Corporation (KEPCO) Research Institute
         Yong Man Ro; Korea Advanced Institute of Science and Technology (KAIST)
 
 MLSP-P16.11: ANOMALY DETECTION FOR TIME SERIES USING VAE-LSTM HYBRID MODEL
         Shuyu Lin; University of Oxford
         Ronald Clark; Imperial College London
         Robert Birke; ABB Future Labs
         Sandro Schoenborn; ABB Future Labs
         Niki Trigoni; University of Oxford
         Stephen Roberts; University of Oxford
 
 MLSP-P16.12: HYDRANET: A REAL-TIME WAVEFORM SEPARATION NETWORK
         Esbern Torgard Kaspersen; Aalborg University
         Tsampikos Kounalakis; Danish Technological Institute
         Cumhur Erkut; Aalborg University