MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing

2 March 2021

Papers citing "MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing"

8 / 8 papers shown

Title
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging Ping Wang Yulun Zhang Lishun Wang Xin Yuan ViT 31 1 0 16 Jul 2024
SnapCap: Efficient Snapshot Compressive Video Captioning Jianqiao Sun Yudi Su Hao Zhang Ziheng Cheng Zequn Zeng Zhengjue Wang Bo Chen Xin Yuan 32 1 0 10 Jan 2024
EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging Lishun Wang Miao Cao Xin Yuan 18 16 0 17 May 2023
Deep Equilibrium Models for Video Snapshot Compressive Imaging Yaping Zhao Siming Zheng Xin Yuan 50 19 0 18 Jan 2022
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing Siming Zheng Xiaoyu Yang Xin Yuan 19 7 0 15 Jan 2022
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging Zhuoyuan Wu Jian Andrew Zhang Chong Mou MedIm 37 60 0 14 Sep 2021
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging Xin Yuan Yang Liu J. Suo F. Durand Qionghai Dai 53 77 0 13 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017