CI-P1.6
An Efficient Transformer for Demosaicing via Compressed Multi-branch Attention Mechanism
Xun Wu, School of Software, Tsinghua University, China; Fanqing Meng, Shanghai Jiao Tong University, China; Yaqi Wu, Jiawei Zhang, SenseTime, China; Feng Zhang, SenseTime, Shanghai AI Laboratory, China, China
Session:
CI-P1: Computational Imaging III Poster
Track:
Computational Imaging
Location:
Poster Zone 5C
Poster Board PZ-5C.6
Poster Board PZ-5C.6
Presentation Time:
Wed, 17 Apr, 08:20 - 10:20 (UTC +9)
Session Chair:
Bihan Wen,
Session CI-P1
CI-P1.1: SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging
Yaping Zhao, Edmund Lam, The University of Hong Kong, Hong Kong
CI-P1.2: Deep Versatile Hyperspectral Reconstruction Model from a Snapshot Measurement with Arbitrary Masks
Takumi Takabe, Yamaguchi University, Japan; Xian-Hua Han, Rikkyo University, Japan; Yen-Wei Chen, Ritsumeikan University, Japan
CI-P1.3: Hyperspectral Image Reconstruction using Hierarchical Neural Architecture Search from a Snapshot Image
Xian-Hua Han, Rikkyo University, Japan; Huiyan Jiang, Northeastern University, China; Yen-Wei Chen, Ritsumeikan University, Japan
CI-P1.4: Fusion of Multi-resolution Seismic Tomography Maps with Physics-informed Probability Graphical Models
Zheng Zhou, Peter Gerstoft, University of California, San Diego, United States of America; Kim Olsen, San Diego State University, United States of America
CI-P1.5: AN EFFICIENT ALGORITHM FOR CLUSTERED MULTI-TASK COMPRESSIVE SENSING
Alexander Lin, Demba Ba, Harvard University, United States of America
CI-P1.6: An Efficient Transformer for Demosaicing via Compressed Multi-branch Attention Mechanism
Xun Wu, School of Software, Tsinghua University, China; Fanqing Meng, Shanghai Jiao Tong University, China; Yaqi Wu, Jiawei Zhang, SenseTime, China; Feng Zhang, SenseTime, Shanghai AI Laboratory, China, China
CI-P1.7: SPECTRO-SPATIAL HYPERSPECTRAL IMAGE RECONSTRUCTION FROM INTERFEROMETRIC ACQUISITIONS
Daniele Picone, Mohamad Jouni, Mauro Dalla Mura, Grenoble INP - UGA, France
CI-P1.8: Differentiable Uncalibrated Imaging
Sidharth Gupta, Konik Kothari, University of Illinois at Urbana-Champaign, United States of America; Valentin Debarnot, Ivan Dokmanic, University of Basel, Switzerland
CI-P1.9: FAST ALIGNMENT ALGORITHM FOR CRYO-EM PARTICLE IMAGES BASED ON HARMONIC ANALYSIS
Mingtao Huang, Ranhao Zhang, Xueming Li, Yuan Shen, Tsinghua University, China
CI-P1.10: Single-pixel imaging of dynamic flows using Neural ODE regularization
Aleksei Sholokhov, University of Washington, United States of America; Joshua Rapp, Mitsubishi Electric Research Laboratories, United States of America; Saleh Nabi, Schneider Electric, United States of America; Steven Brunton, University of Washington, United States of America; J. Nathan Kutz, Univeristy of Washington, United States of America; Hassan Mansour, Mitsubishi Electric Research Laboratories, United States of America
CI-P1.11: KD-Former: Transformer Knowledge Distillation for Image Matting
Ziwen Li, AI2Robotics, China; Bo Xu, Cheng Lu, XPENG, China
CI-P1.12: SAM-Deblur: Let Segment Anything Boost Image Deblurring
Siwei Li, Mingxuan Liu, Tsinghua University, China; Yating Zhang, Shu Chen, Beijing Xiaomi Mobile Software Co., Ltd., China; Haoxiang Li, Tsinghua University, China; Zifei Dou, Beijing Xiaomi Mobile Software Co., Ltd., China; Hong Chen, Tsinghua University, China
Contacts