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Unfolding Framework with Prior of Convolution-Transformer Mixture and
  Uncertainty Estimation for Video Snapshot Compressive Imaging

Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging

20 June 2023
Siming Zheng
Xin Yuan
    ViTMedIm
ArXiv (abs)PDFHTML

Papers citing "Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging"

31 / 31 papers shown
Title
MaxViT: Multi-Axis Vision Transformer
MaxViT: Multi-Axis Vision Transformer
Zhengzhong Tu
Hossein Talebi
Han Zhang
Feng Yang
P. Milanfar
A. Bovik
Yinxiao Li
ViT
131
666
0
04 Apr 2022
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling
  Deep Network for Snapshot Compressive Imaging
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
Xuanyu Zhang
Yongbing Zhang
Ruiqin Xiong
Qilin Sun
Jian Zhang
95
54
0
12 Dec 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
80
60
0
14 Sep 2021
Video Swin Transformer
Video Swin Transformer
Ze Liu
Jia Ning
Yue Cao
Yixuan Wei
Zheng Zhang
Stephen Lin
Han Hu
ViT
111
1,489
0
24 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
ViT
127
1,208
0
09 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
465
21,566
0
25 Mar 2021
Memory-Efficient Network for Large-scale Video Compressive Sensing
Memory-Efficient Network for Large-scale Video Compressive Sensing
Ziheng Cheng
Bo Chen
Guanliang Liu
Hao Zhang
Ruiying Lu
Zhengjue Wang
Xin Yuan
66
63
0
04 Mar 2021
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive
  Sensing
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing
Zhengjue Wang
Hao Zhang
Ziheng Cheng
Bo Chen
Xin Yuan
63
52
0
02 Mar 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
391
1,572
0
27 Feb 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
533
3,734
0
24 Feb 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on
  ImageNet
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Li-xin Yuan
Yunpeng Chen
Tao Wang
Weihao Yu
Yujun Shi
Zihang Jiang
Francis E. H. Tay
Jiashi Feng
Shuicheng Yan
ViT
141
1,942
0
28 Jan 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,802
0
23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
673
41,430
0
22 Oct 2020
Disentangled Non-Local Neural Networks
Disentangled Non-Local Neural Networks
Minghao Yin
Zhuliang Yao
Yue Cao
Xiu Li
Zheng Zhang
Stephen Lin
Han Hu
122
328
0
11 Jun 2020
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Xin Yuan
Yang Liu
J. Suo
Qionghai Dai
59
183
0
30 Mar 2020
Data Uncertainty Learning in Face Recognition
Data Uncertainty Learning in Face Recognition
Jie Chang
Zhonghao Lan
Changmao Cheng
Yichen Wei
CVBM
114
270
0
25 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
544
42,591
0
03 Dec 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization
  Uncertainty for Autonomous Driving
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Jiwoong Choi
Dayoung Chun
Hyun Kim
Hyuk-Jae Lee
77
402
0
09 Apr 2019
Rank Minimization for Snapshot Compressive Imaging
Rank Minimization for Snapshot Compressive Imaging
Yang Liu
Xin Yuan
J. Suo
D. Brady
Qionghai Dai
59
328
0
20 Jul 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
300
8,917
0
21 Nov 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
147
6,884
0
04 Jul 2017
The 2017 DAVIS Challenge on Video Object Segmentation
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset
Federico Perazzi
Sergi Caelles
Pablo Arbeláez
A. Sorkine-Hornung
Luc Van Gool
VGenVOS
87
1,217
0
03 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
362
4,719
0
15 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
793
36,881
0
25 Aug 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
64
75
0
12 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCVBDL
92
1,066
0
09 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,819
0
02 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Low-Cost Compressive Sensing for Color Video and Depth
Low-Cost Compressive Sensing for Color Video and Depth
Xin Yuan
P. Llull
X. Liao
Jianbo Yang
Guillermo Sapiro
D. Brady
Lawrence Carin
65
103
0
27 Feb 2014
Coded aperture compressive temporal imaging
Coded aperture compressive temporal imaging
P. Llull
X. Liao
Xin Yuan
Jianbo Yang
D. Kittle
Lawrence Carin
Guillermo Sapiro
D. Brady
81
371
0
04 Feb 2013
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