TA-P.PZ5.5

MODULAR AND LIGHTWEIGHT NETWORKS FOR BI-SCALE STYLE TRANSFER

Thibault Durand, Julien Rabin, David Tschumperlé, Université de Caen Normandie, France

Session:
Image and Video Synthesis, Rendering, and Visualization
Poster

Track:
Image and Video Analysis, Synthesis, and Retrieval

Location:
Poster Zone 5

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)

Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session TA-P.PZ5
TA-P.PZ5.1: AUTOMATIC ILLUMINATION OF FLAT-COLORED DRAWINGS BY 3D AUGMENTATION OF 2D SILHOUETTES
David Tschumperlé, CNRS, France; Christine Porquet, ENSICAEN, France; Amal Mahboubi, University of Caen, France
TA-P.PZ5.2: VG-GAN: CONDITIONAL GAN FRAMEWORK FOR GRAPHICAL DESIGN GENERATION
Yong Zheng Ong, National University of Singapore, Singapore; Lilei Zheng, Chaowei Feng, Kang Song, Shopee Private Limited, Singapore
TA-P.PZ5.3: A PATCH-BASED APPROACH FOR ARTISTIC STYLE TRANSFER VIA CONSTRAINED MULTI-SCALE IMAGE MATCHING
Benjamin Samuth, David Tschumperlé, Julien Rabin, Normandie Université, UNICAEN, ENSICAEN, GREYC, France
TA-P.PZ5.4: Latent Vector Prototypes Guided Conditional Face Synthesis
Qiyu Wei, Tong Sang, Shanghai University (SHU), China, China; Xulei Yang, Zeng Zeng, Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore; Huijiao Wang, Wuhan University (WHU), China, China; Xiaofeng Zou, Hunan University (HNU), China, China; Zhongyao Cheng, Ziyuan Zhao, Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore
TA-P.PZ5.5: MODULAR AND LIGHTWEIGHT NETWORKS FOR BI-SCALE STYLE TRANSFER
Thibault Durand, Julien Rabin, David Tschumperlé, Université de Caen Normandie, France
TA-P.PZ5.6: FUTURE FRAME EXTRAPOLATION USING FUTURE COST VOLUME
Seunggyun Woo, Junheum Park, Chang-Su Kim, Korea University, Korea, Republic of
TA-P.PZ5.7: EARLY PEDESTRIAN INTENT PREDICTION VIA FEATURES ESTIMATION
Nada Osman, Enrico Cancelli, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan, University of Padova, Italy, Italy
TA-P.PZ5.8: A NOVEL VISUAL FEATURE AND GAZE DRIVEN EGOCENTRIC VIDEO RETARGETING
Aneesh Bhattacharya, International Institute of Information Technology, Naya Raipur, India; Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Indian Institute of Technology Kharagpur, India