MO2.L2.5
MVHR-OEL: Multi-View 3D Human Reconstruction with Online Evolutive Learning
Ruiyang Jing, FUDAN University, China
Session:
MO2.L2: Advanced Research on Online Evolutive Learning for Image Processing Lecture
Track:
Satellite Workshops
Location:
Dena'ina: Tikahtnu Ballroom C/F
Presentation Time:
Mon, 15 Sep, 10:36 - 10:45 Anchorage Time (UTC -9)
Presentation
Not logged in.
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session MO2.L2
MO2.L2.1: Parameterized Human Model Reconstruction Method Based on Online Evolutive Learning
Jiaxuan Liu, Fengtin Qin, Jingyi Wu, Ruiyang Jing, Jing Liu, Liang Song, Fudan University, China
MO2.L2.2: Evolutive Memory-Enhanced Normality Learning for Unsupervised Video Anomaly Detection
Zhongyi He, Macau University of Science and Technology, China; Juncen Guo, Xinhua Zeng, Fudan University, China; Boan Chen, Shanghai Jiao Tong University, China
MO2.L2.3: TRIMED-DPDC: TRIPLE-MEDIAN FILTERING-BASED DEFECTIVE PIXEL DETECTION AND CORRECTION ALGORITHM
Liyuan Peng, Yujie Huang, Fudan University, Shanghai ExploreX Technology Co., Ltd., China; Mingyu Wang, Wenhong Li, Xiaoyang Zeng, Fudan University, China
MO2.L2.4: FEATURE POINT DENSITY-BASED SEAM MEASUREMENTS FOR LARGE PARALLAX IMAGE STITCHING
Liyuan Peng, Yujie Huang, Fudan University, Shanghai ExploreX Technology Co., Ltd, China; Mingyu Wang, Wenhong Li, Xiaoyang Zeng, Fudan University, China
MO2.L2.5: MVHR-OEL: Multi-View 3D Human Reconstruction with Online Evolutive Learning
Ruiyang Jing, FUDAN University, China
Contacts