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Spatial-Temporal Transformer for Video Snapshot Compressive Imaging

Spatial-Temporal Transformer for Video Snapshot Compressive Imaging

4 September 2022
Lishun Wang
Miao Cao
Yong Zhong
Xin Yuan
ArXivPDFHTML

Papers citing "Spatial-Temporal Transformer for Video Snapshot Compressive Imaging"

15 / 15 papers shown
Title
Snapshot Compressed Imaging Based Single-Measurement Computer Vision for Videos
Fengpu Pan
Jiangtao Wen
Yuxing Han
33
1
0
28 Jan 2025
Hierarchical Separable Video Transformer for Snapshot Compressive
  Imaging
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
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
EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging
Lishun Wang
Miao Cao
Xin Yuan
26
16
0
17 May 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for
  Dynamic Imaging
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
Berk Iskender
M. Klasky
Y. Bresler
33
3
0
07 Apr 2023
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing
Haijin Zeng
Kai Feng
Shaoguang Huang
Jingyun Liang
Yongyong Chen
Hongyan Zhang
H. Luong
Wilfried Philips
23
1
0
23 Mar 2023
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Yaping Zhao
Siming Zheng
Xin Yuan
53
19
0
18 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
314
7,457
0
11 Nov 2021
Computational Imaging and Artificial Intelligence: The Next Revolution
  of Mobile Vision
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
J. Suo
Weihang Zhang
Jin Gong
Xin Yuan
D. Brady
Qionghai Dai
43
23
0
18 Sep 2021
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive
  Imaging
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
Zhuoyuan Wu
Jian Zhang
Chong Mou
MedIm
40
60
0
14 Sep 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
316
3,625
0
24 Feb 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
283
1,984
0
09 Feb 2021
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
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
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,829
0
18 Aug 2016
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