IVMSP-L7.1
LOW REDUNDANT ATTENTION NETWORK FOR EFFICIENT IMAGE SUPER-RESOLUTION
Yican Liu, Jiacheng Li, Delu Zeng, School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China, China
Session:
IVMSP-L7: Image and video super-resolution Lecture
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Room 102
Presentation Time:
Wed, 17 Apr, 16:30 - 16:50 (UTC +9)
Session Chair:
Arijit Sur, IIT
Session IVMSP-L7
IVMSP-L7.1: LOW REDUNDANT ATTENTION NETWORK FOR EFFICIENT IMAGE SUPER-RESOLUTION
Yican Liu, Jiacheng Li, Delu Zeng, School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China, China
IVMSP-L7.2: DROPOUT MULTI-HEAD ATTENTION FOR SINGLE IMAGE SUPER-RESOLUTION
Chao Yang, Yong Fan, Cheng Lu, Southwest University of Science and Technology, China
IVMSP-L7.3: Customized Treatment Per Pixel for Blind Image Super-Resolution
Guanqun Liu, Xiaoshuai Hao, Samsung Research China - Beijing (SRC-B), China
IVMSP-L7.4: EFFICIENT SCENE TEXT IMAGE SUPER-RESOLUTION WITH SEMANTIC GUIDANCE
LeoWu TomyEnrique, Xiangcheng Du, Kangliang Liu, Fudan University, China; Han Yuan, Videt Lab, Duiguan Technology Ltd., China; Zhao Zhou, Fudan University; Videt Lab, Duiguan Technology Ltd., China; Cheng Jin, Fudan University; Innovation Center of Calligraphy and Painting Creation Technology, MCT, China
IVMSP-L7.5: UNSUPERVISED REMOTE SENSING HAZE REMOVAL BASED ON SALIENCY-GUIDED TRANSMISSION REFINEMENT
Ruohui Zheng, Libao Zhang, Beijing Normal University, China
Contacts