IVMSP-P3.2
GRADIENT AND BRIGHTNESS GUIDED LOW-LIGHT ENHANCEMENT WITH ATTENTION-BASED SELF-PACED LEARNING
Xiaoyan Sun, Yan Li, Shandong Normal University, China; De Cheng, Xidian University, China; Dingwen Zhang, Northwestern Polytechnical University, China; Ling Gao, Shandong Normal University, China; Luofeng Zhai, Imperial College London, South Kensington Campus, London SW7 2AZ, UK, China; Jiande Sun, Shandong Normal University, China
Session:
IVMSP-P3: Deep Learning for Image and Video Processing I Poster
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Poster Zone 2B
Poster Board PZ-2B.2
Poster Board PZ-2B.2
Presentation Time:
Tue, 16 Apr, 16:30 - 18:30 (UTC +9)
Session Chair:
YUNTAO QIAN, Zhejiang University
Session IVMSP-P3
IVMSP-P3.1: CLIP-FONT: SEMENTIC SELF-SUPERVISED FEW-SHOT FONT GENERATION WITH CLIP
Jialu Xiong, Yefei Wang, Jinshan Zeng, Jiangxi Normal University, China
IVMSP-P3.2: GRADIENT AND BRIGHTNESS GUIDED LOW-LIGHT ENHANCEMENT WITH ATTENTION-BASED SELF-PACED LEARNING
Xiaoyan Sun, Yan Li, Shandong Normal University, China; De Cheng, Xidian University, China; Dingwen Zhang, Northwestern Polytechnical University, China; Ling Gao, Shandong Normal University, China; Luofeng Zhai, Imperial College London, South Kensington Campus, London SW7 2AZ, UK, China; Jiande Sun, Shandong Normal University, China
IVMSP-P3.3: IMPLICIT NEURAL REPRESENTATION FOR LOW-OVERHEAD GRAPH-BASED HOLOGRAPHIC-TYPE COMMUNICATIONS
Takuya Fujihashi, Sorachi Kato, Osaka University, Japan; Toshiaki Koike-Akino, Mitsubishi Electric Research Laboratories (MERL), United States of America
IVMSP-P3.4: LOW-LIGHT RAW IMAGE ENHANCEMENT ON A DATASET SUFFERING LIGHT EFFECTS
Xu Zhang, Rui Tang, Guipeng Zhang, Dehui Kong, Ke Xu, Sanechips Technology Company Limited, China
IVMSP-P3.5: DONE: DYNAMIC NEURAL REPRESENTATION VIA HYPERPLANE NEURAL ODE
Jiaxu Wang, Bo Xu, Hao Cheng, Renjing Xu, Hong Kong University of Science and Technology (Guangzhou), China
IVMSP-P3.6: A 3D VIRTUAL TRY-ON METHOD WITH GLOBAL-LOCAL ALIGNMENT AND DIFFUSION MODEL
Shougan Pan, Southeast University, China; Zhengwentai Sun, The Hong Kong Polytechnic University, China; Chenxing Wang, Southeast University, China; Junkai Zhang, Institute of Automation, Chinese Academy of Sciences, China
IVMSP-P3.7: Lightweight high-resolution Subject Matting in the Real World
Peng Liu, Fanyi Wang, Jingwen Su, Yanhao Zhang, Guojun Qi, OPPO Research Institute, China
IVMSP-P3.8: Building Lane-Level Maps from Aerial Images
Jiawei Yao, University of Washington, United States of America; Xiaochao Pan, Taiyuan University of Technology, China; Tong Wu, University of Washington, United States of America; Xiaofeng Zhang, Shanghai Jiao Tong University, China
IVMSP-P3.9: HENET: HYPERBOLIC-BASED ENCODER-DECODER NETWORK FOR WORD SPOTTING IN HISTORICAL MONGOLIAN DOCUMENTS
Jing Zhang, Hongxi Wei, Qing Zhang, Xiandong Chen, Jingtao Ma, Inner Mongolia University, China
IVMSP-P3.10: Complementary Fusion Network based on Frequency Hybrid Attention for Pansharpening
xing yinghui, Qu LiTao, zhang kai, zhang yan, zhang xiuwei, zhang yanning, northwestern polytechnical university, China
IVMSP-P3.11: RGB IMAGES ENHANCING HYPERSPECTRAL IMAGE DENOISING WITH DIFFUSION MODEL
Keli Deng, Peng Wang, Yuntao Qian, Zhejiang University, China
IVMSP-P3.12: GENERALIZABLE TWO-BRANCH FRAMEWORK FOR IMAGE CLASS-INCREMENTAL LEARNING
Chao Wu, Xiaobin Chang, School of Artificial Intelligence, Sun Yat-sen University, China, China; Ruixuan Wang, School of Computer Science and Engineering, Sun Yat-sen University, China, China
Contacts