APSIPA 2021
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Technical Program
Session SS-IVM-5
Paper SS-IVM-5.1
SS-IVM-5.1
Semi-Supervised Learning for Facial Landmarks with Confidence and Augmentation Sifting Mechanisms
Hao-Wen Chia, Jian-Jiun Ding, National Taiwan University, Taiwan
Session:
High Performance Intelligent Technologies for Image and Video Applications
Track:
Image, Video, and Multimedia (IVM)
Session Time:
Fri, 17 Dec, 13:00 - 15:00 Japan Standard Time (UTC +9)
Fri, 17 Dec, 04:00 - 06:00 Coordinated Universal Time
Thu, 16 Dec, 23:00 - 01:00 Eastern Standard Time (UTC -5)
Thu, 16 Dec, 20:00 - 22:00 Pacific Standard Time (UTC -8)
Session Chair:
Sankarasrinivasan Seshathiri, National Taiwan Univeristy of Science and Technology
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Session SS-IVM-5
FR2.LS-D.1: Semi-Supervised Learning for Facial Landmarks with Confidence and Augmentation Sifting Mechanisms
Hao-Wen Chia, Jian-Jiun Ding, National Taiwan University, Taiwan
FR2.LS-D.2: Deepfake Algorithm Using Multiple Noise Modalities with Two-Branch Prediction Network
Hsuan-Wei Hsu, Jian-Jiun Ding, National Taiwan University, Taiwan
FR2.LS-D.3: Digital Multitone Image Reconstruction using Deep Generative Adversarial Nets
Jing-Ming Guo, Sankarasrinivasan Seshathiri, National Taiwan University of Science and Technology, Taiwan
FR2.LS-D.4: SMART FACIAL SKINCARE PRODUCTS USING COMPUTER VISION TECHNOLOGIES
Hung-Tse Chan, Chih-Hsien Hsia, National Ilan University, Taiwan; Ting-Yu Lin, Chin-Feng Lai, National Cheng Kung University, Taiwan; Shih-Chun Deng, Taipei Private Dongshan High School, Taiwan
FR2.LS-D.5: An Attention based Expert Inspection System for Smart Scalp
Sin-Ye Jhong, National Cheng Kung University, Taiwan; Po-Yen Yang, The Hong Kong University of Science and Technology, China; Chih-Hsien Hsia, National Ilan University, Taiwan