Technical Program

All times are in Alaska local time (AKDT/UTC−08:00)

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICIP 2021 Open Preview.

MLR-APPL-IP-7: Machine learning for image processing 7

Interactive Q&A Time: Wednesday, September 22, 08:00 - 09:30
Session Chair: Vladimir Stankovic, University of Strathclyde
 
 MLR-APPL-IP-7.1: DEEP ACTIVE LEARNING FOR HUMAN POSE ESTIMATION VIA CONSISTENCY WEIGHTED CORE-SET APPROACH
         Wuqiang Zhang; Daimler Greater China
         Zijie Guo; Daimler Greater China
         Rong Zhi; Daimler Greater China
         Baofeng Wang; Daimler Greater China
 
 MLR-APPL-IP-7.2: PARTITIONED CENTERPOSE NETWORK FOR BOTTOM-UP MULTI-PERSON POSE ESTIMATION
         Jiahua Wu; Jeonbuk National University
         Hyo Jong Lee; Jeonbuk National University
 
 MLR-APPL-IP-7.3: REALISTIC AUGMENTATION FOR EFFECTIVE 2D HUMAN POSE ESTIMATION UNDER OCCLUSION
         Amin Ansarian; Concordia University
         Maria Amer; Concordia University
 
 MLR-APPL-IP-7.4: 3D HUMAN POSE REGRESSION USING GRAPH CONVOLUTIONAL NETWORK
         Soubarna Banik; Technical University of Munich
         Alejandro Mendoza Garcia; reFit Systems GmbH
         Alois Knoll; reFit Systems GmbH
 
 MLR-APPL-IP-7.5: LINECOUNTER: LEARNING HANDWRITTEN TEXT LINE SEGMENTATION BY COUNTING
         Deng Li; University of Macau
         Yue Wu; Amazon
         Yicong Zhou; University of Macau
 
 MLR-APPL-IP-7.6: VISION AND TEXT TRANSFORMER FOR PREDICTING ANSWERABILITY ON VISUAL QUESTION ANSWERING
         Tung Le; Japan Advanced Institute of Science and Technology
         Huy Tien Nguyen; University of Science, Vietnam National University Ho Chi Minh City, Zalo Research Center
         Minh Le Nguyen; Japan Advanced Institute of Science and Technology
 
 MLR-APPL-IP-7.7: SEMANTIC-COMPENSATED AND ATTENTION-GUIDED NETWORK FOR SCENE TEXT DETECTION
         Yizhan Zhao; Tianjin University
         Sumei Li; Tianjin University
         Yueyang Li; Tianjin University
 
 MLR-APPL-IP-7.8: MOBILE REGISTRATION NUMBER PLATE RECOGNITION USING ARTIFICIAL INTELLIGENCE
         Syed Talha Abid Ali; Pakistan Institute of Engineering and Technology
         Abdul Hakeem Usama; Pakistan Institute of Engineering and Technology
         Ishtiaq Rasool Khan; University of Jeddah
         Muhammad Murtaza Khan; University of Jeddah
         Asif Siddiq; Pakistan Institute of Engineering and Technology
 
 MLR-APPL-IP-7.9: DEFORMATION-INVARIANT NETWORKS FOR HANDWRITTEN TEXT RECOGNITION
         George Retsinas; National Technical University of Athens
         Giorgos Sfikas; University of Ioannina
         Christophoros Nikou; University of Ioannina
         Petros Maragos; National Technical University of Athens
 
 MLR-APPL-IP-7.10: ADVMIX: DATA AUGMENTATION FOR ACCURATE SCENE TEXT SPOTTING
         Yizhang Huang; Shanghai Jiao Tong University
         Kun Fang; Shanghai Jiao Tong University
         Xiaolin Huang; Shanghai Jiao Tong University
         Jie Yang; Shanghai Jiao Tong University
 
 MLR-APPL-IP-7.11: USING THE OVERLAPPING SCORE TO IMPROVE CORRUPTION BENCHMARKS
         Alfred Laugros; Universite Grenoble Alpes
         Alice Caplier; Universite Grenoble Alpes
         Matthieu Ospici; Atos
 
 MLR-APPL-IP-7.12: LEARNING NONPARAMETRIC HUMAN MESH RECONSTRUCTION FROM A SINGLE IMAGE WITHOUT GROUND TRUTH MESHES
         Kevin Lin; Microsoft
         Lijuan Wang; Microsoft
         Ying Jin; Microsoft
         Zicheng Liu; Microsoft
         Ming-Ting Sun; University of Washington