TA-P.PZ2.10
DOCUMENT SHADOW REMOVAL WITH FOREGROUND DETECTION LEARNING FROM FULLY SYNTHETIC IMAGES
Yuhi Matsuo, Naofumi Akimoto, Yoshimitsu Aoki, Keio University, Japan
Session:
Learning Image Transformations
Track:
Applications of Machine Learning
Location:
Poster Zone 2
Presentation Time:
Tue, 18 Oct, 16:00 - 18:30 China Standard Time (UTC +8)
Tue, 18 Oct, 10:00 - 12:30 Central European Time (UTC +1)
Tue, 18 Oct, 08:00 - 10:30 UTC
Tue, 18 Oct, 04:00 - 06:30 Eastern Time (UTC -5)
Tue, 18 Oct, 10:00 - 12:30 Central European Time (UTC +1)
Tue, 18 Oct, 08:00 - 10:30 UTC
Tue, 18 Oct, 04:00 - 06:30 Eastern Time (UTC -5)
Session Co-Chairs:
Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session TA-P.PZ2
TA-P.PZ2.1: CTGAN : CLOUD TRANSFORMER GENERATIVE ADVERSARIAL NETWORK
Gi-Luen Huang, Pei-Yuan Wu, National Taiwan University (NTU), Taiwan
TA-P.PZ2.2: TRANSFORMER COMPRESSED SENSING VIA GLOBAL IMAGE TOKENS
Marlon Bran Lorenzana, Craig Engstrom, Shekhar S. Chandra, The University of Queensland, Australia
TA-P.PZ2.3: 2HDED:NET FOR JOINT DEPTH ESTIMATION AND IMAGE DEBLURRING FROM A SINGLE OUT-OF-FOCUS IMAGE
Saqib Nazir, CEOSpaceTech, University POLITEHNICA of Bucharest (UPB), Romania; Lorenzo Vaquero, Manuel Mucientes, Victor M. Brea, Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS), Spain; Daniela Coltuc, CEOSpaceTech, Romania
TA-P.PZ2.4: UNSUPERVISED IMAGE FUSION USING DEEP IMAGE PRIORS
Xudong Ma, Paul Hill, Nantheera Anantrasirichai, Alin Achim, University of Bristol, United Kingdom of Great Britain and Northern Ireland
TA-P.PZ2.5: SEMANTIC UNFOLDING OF STYLEGAN LATENT SPACE
Mustafa Shukor, Xu Yao, Bharath Bushan Damodaran, Pierre Hellier, Interdigital, France
TA-P.PZ2.6: TRANSLATION OF ILLUSTRATION ARTIST STYLE USING SAILORMOONREDRAW DATA
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa, The University of Tokyo, Japan; Naohiro Yanase, BOOK WALKER Co.,Ltd., Japan
TA-P.PZ2.7: STYLE TRANSFER USING OPTIMAL TRANSPORT VIA WASSERSTEIN DISTANCE
OSeok Ryu, Bowon Lee, Inha University, Korea, Republic of
TA-P.PZ2.8: CNN-BASED LOCAL TONE MAPPING IN THE PERCEPTUAL QUANTIZATION DOMAIN
Hongjie You, Kai Cui, Eckehard Steinbach, Technical University of Munich, Germany; Hu Chen, Huawei Technologies Duesseldorf GmbH, Germany; Yichuan Wang, Huawei Technologies Co., Ltd, China
TA-P.PZ2.9: Revisiting Artistic Style Transfer for Data Augmentation in a Real-case Scenario
Stefano D'Angelo, Frederic Precioso, Fabien Gandon, Université Côte d'Azur, France
TA-P.PZ2.10: DOCUMENT SHADOW REMOVAL WITH FOREGROUND DETECTION LEARNING FROM FULLY SYNTHETIC IMAGES
Yuhi Matsuo, Naofumi Akimoto, Yoshimitsu Aoki, Keio University, Japan