Technical Program

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TEC-5: Image and Video Processing 1

Interactive Q&A Time: Monday, September 20, 13:30 - 15:00
Session Chair: Ambarish Natu, Australian Government
 
 TEC-5.1: ROBUST LIGHT FIELD SYNTHESIS FROM STEREO IMAGES WITH LEFT-RIGHT GEOMETRIC CONSISTENCY
         Chun-Hao Chao; National Taiwan University
         Chang-Le Liu; National Taiwan University
         Homer H. Chen; National Taiwan University
 
 TEC-5.2: FAST HYBRID IMAGE RETARGETING
         Daniel Valdez-Balderas; Samsung
         Oleg Muraveynyk; Samsung
         Timothy Smith; Samsung
 
 TEC-5.3: A METHOD FOR ADDING MOTION-BLUR ON ARBITRARY OBJECTS BY USING AUTO-SEGMENTATION AND COLOR COMPENSATION TECHNIQUES
         Michihiro Mikamo; Hiroshima City University
         Ryo Furukawa; Hiroshima City University
         Hiroshi Kawasaki; Kyushu University
 
 TEC-5.4: SEMASUPERPIXEL: A MULTI-CHANNEL PROBABILITY-DRIVEN SUPERPIXEL SEGMENTATION METHOD
         Xuehui Wang; Sun Yat-sen University and Shanghai Jiao Tong University
         Qingyun Zhao; Sun Yat-sen University
         Lei Fan; Northwestern University
         Yuzhi Zhao; City University of Hong Kong
         Tiantian Wang; SenseTime Research
         Qiong Yan; SenseTime Research
         Long Chen; Sun Yat-sen University
 
 TEC-5.5: AN OPTICAL PHYSICS INSPIRED CNN APPROACH FOR INTRINSIC IMAGE DECOMPOSITION
         Harshana Weligampola; Sri Lanka Technological Campus
         Gihan Jayatilaka; University of Peradeniya
         Suren Sritharan; Sri Lanka Technological Campus
         Parakrama Ekanayake; University of Peradeniya
         Roshan Ragel; University of Peradeniya
         Vijitha Herath; University of Peradeniya
         Roshan Godaliyadda; University of Peradeniya
 
 TEC-5.6: A TWO-STAGE AUTOENCODER FOR VISUAL ANOMALY DETECTION
         Yezhou Zhu; Beijing Jiaotong University
         Jianzhu Wang; Beijing Jiaotong University
         Jing Zhang; Beijing Jiaotong University
         Qingyong Li; Beijing Jiaotong University
 
 TEC-5.7: TWO-PHASE MULTIMODAL IMAGE FUSION USING CONVOLUTIONAL NEURAL NETWORKS
         Kushal Kusram; University of Colorado Denver
         Shane Transue; University of Colorado Denver
         Min-Hyung Choi; University of Colorado Denver
 
 TEC-5.8: ROBUST VISUAL OBJECT TRACKING WITH SPATIOTEMPORAL REGULARISATION AND DISCRIMINATIVE OCCLUSION DEFORMATION
         Shiyong Lan; Sichuan University
         Jin Li; Sichuan University
         Shipeng Sun; Sichuan University
         Xin Lai; Southwest Petroleum University
         Wenwu Wang; University of Surrey
 
 TEC-5.9: ADAPTIVE MULTI-FEATURE FUSION FOR ROBUST OBJECT TRACKING
         Mengxue Liu; China University of Petroleum (East China)
         Yujuan Qi; China University of Petroleum (East China)
         Yanjiang Wang; China University of Petroleum (East China)
         Baodi Liu; China University of Petroleum (East China)
 
 TEC-5.10: SAROD: EFFICIENT END-TO-END OBJECT DETECTION ON SAR IMAGES WITH REINFORCEMENT LEARNING
         Junhyung Kang; Sungkyunkwan University
         Hyeonseong Jeon; AIRS Company, Hyundai Motor Group
         Youngoh Bang; Sungkyunkwan University
         Simon S. Woo; Sungkyunkwan University
 
 TEC-5.11: CFPNET: CHANNEL-WISE FEATURE PYRAMID FOR REAL-TIME SEMANTIC SEGMENTATION
         Ange Lou; George Washington University
         Murray Loew; George Washington University
 
 TEC-5.12: DECODING OF NANOPORE-SEQUENCED SYNTHETIC DNA STORING DIGITAL IMAGES
         Eva Gil San Antonio; Université cote d'Azur
         Melpomeni Dimopoulou; Université cote d'Azur
         Marc Antonini; Université cote d'Azur
         Pascal Barbry; Université cote d'Azur
         Raja Appuswamy; EURECOM