IVMSP-37.2
VARIATIONAL BAYESIAN FRAMEWORK FOR ADVANCED IMAGE GENERATION WITH DOMAIN-RELATED VARIABLES
Yuxiao Li, Yuan Shen, Tsinghua University, China; Santiago Mazuelas, BCAM-Basque Center for Applied Mathematics, Spain
Session:
Statistical and Structural Models
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area I
Presentation Time:
Thu, 12 May, 22:00 - 22:45 China Time (UTC +8)
Thu, 12 May, 14:00 - 14:45 UTC
Thu, 12 May, 14:00 - 14:45 UTC
Session Chair:
Dongyuan Shi, Nanyang Technological University
Session IVMSP-37
IVMSP-37.1: ON THE OBSERVABILITY IN VISUAL SLAM NETWORKS
Qier An, Yuan Shen, Tsinghua University, China
IVMSP-37.2: VARIATIONAL BAYESIAN FRAMEWORK FOR ADVANCED IMAGE GENERATION WITH DOMAIN-RELATED VARIABLES
Yuxiao Li, Yuan Shen, Tsinghua University, China; Santiago Mazuelas, BCAM-Basque Center for Applied Mathematics, Spain
IVMSP-37.3: THE IMPACT OF JPEG COMPRESSION ON PRIOR IMAGE NOISE
Marina Gardella, Tina Nikoukhah, Yanhao Li, Quentin Bammey, École Normale Supérieure Paris-Saclay, France
IVMSP-37.4: EFFICIENT IMAGE-WARPING FRAMEWORK FOR CONTENT-ADAPTIVE SUPERPIXELS GENERATION
Aleksandra Chuchvara, Atanas Gotchev, Tampere University, Finland
IVMSP-37.5: ON THE USE OF COMPONENT STRUCTURAL CHARACTERISTICS FOR VOXEL SEGMENTATION IN SEMICON 3D IMAGES
Tin Lay Nwe, Singh Pahwa Ramanpreet, Chang Richard, Zaw Min Oo, Jie Wang, Yiqun Li, Dongyun Lin, Prasad Shitala, Sheng Dong, Institute for Infocomm Research (I2R), Singapore
IVMSP-37.6: BLIND SOURCE SEPARATION VIA A WEAK EXCLUSION PRINCIPLE
Zihan Zhang, Thierry Blu, The Chinese University of Hong Kong, Hong Kong