WP2.L305.1
DEEP CROSS-MODAL STEGANOGRAPHY USING NEURAL REPRESENTATIONS
Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim, Korea Advanced Institute of Science and Technology, Korea, Republic of
Session:
WP2.L305: Machine Learning for Image Processing Applications III Lecture
Track:
Applications of Machine Learning
Location:
Room 305
Presentation Time:
Wed, 11 Oct, 16:30 - 16:48 Malaysia Time (UTC +8)
Session Chair:
Thomas Richter, Fraunhofer HHI
Session WP2.L305
WP2.L305.1: DEEP CROSS-MODAL STEGANOGRAPHY USING NEURAL REPRESENTATIONS
Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim, Korea Advanced Institute of Science and Technology, Korea, Republic of
WP2.L305.2: HIERARCHICAL CONDITIONAL SEMI-PAIRED IMAGE-TO-IMAGE TRANSLATION FOR MULTI-TASK IMAGE DEFECT CORRECTION ON SHOPPING WEBSITES
Moyan Li, University of Michigan, Ann Arbor, United States of America; Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang, Amazon Inc., United States of America
WP2.L305.3: Deepfake Face Provenance for Proactive Forensics
Jiaxin Ai, Zhongyuan Wang, Baojin Huang, Zhen Han, Qin Zou, Wuhan University, China
WP2.L305.4: Modeling and Interpreting 6-D Object Pose Estimation
Diego Soler, Roberto Hirata, Mateus Espadoto, Institute of Mathematics and Statistics of the University of São Paulo, Brazil
WP2.L305.5: LLA-FLOW: A LIGHTWEIGHT LOCAL AGGREGATION ON COST VOLUME FOR OPTICAL FLOW ESTIMATION
Jiawei Xu, Zongqing Lu, Qingmin Liao, Tsinghua University, China
Contacts