My ICASSP 2020 Schedule

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FR3.I: Neural Networks Applications III

Session Type: Poster

Time: Friday, 8 May, 15:15 - 17:15

Location: On-Demand

Session Chair: Jing Liu, University of Illinois, Urbana-Champaign

FR3.I.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

FR3.I.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

FR3.I.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

FR3.I.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

FR3.I.5: RESILIENT DISTRIBUTED RECOVERY OF LARGE FIELDS

Yuan Chen; Carnegie Mellon University

Soummya Kar; Carnegie Mellon University

José Moura; Carnegie Mellon University

FR3.I.6: TRAINING LSTM FOR UNSUPERVISED ANOMALY DETECTION WITHOUT A PRIORI KNOWLEDGE

Yann Cherdo; Mantu

Paul de Kerret; Mantu

Renaud Pawlak; Mantu

FR3.I.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

FR3.I.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

FR3.I.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

FR3.I.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)

FR3.I.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

FR3.I.12: HYDRANET: A REAL-TIME WAVEFORM SEPARATION NETWORK

Esbern Torgard Kaspersen; Aalborg University

Tsampikos Kounalakis; Danish Technological Institute

Cumhur Erkut; Aalborg University