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Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and
  Events
v1v2 (latest)

Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events

14 April 2023
Yangguang Wang
Xiang Zhang
Mingyuan Lin
Lei Yu
Boxin Shi
Wentao Yang
Gui-Song Xia
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events"

29 / 29 papers shown
Title
Deep Learning for Camera Calibration and Beyond: A Survey
Deep Learning for Camera Calibration and Beyond: A Survey
K. Liao
Lang Nie
Shujuan Huang
Chunyu Lin
Jing Zhang
Yao Zhao
Moncef Gabbouj
Dacheng Tao
135
27
0
19 Mar 2023
Context-Aware Video Reconstruction for Rolling Shutter Cameras
Context-Aware Video Reconstruction for Rolling Shutter Cameras
Bin Fan
Yuchao Dai
Zhiyuan Zhang
Qi Liu
Mingyi He
84
24
0
25 May 2022
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear
  Flow and Multi-scale Fusion
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion
S. Tulyakov
Alfredo Bochicchio
Daniel Gehrig
Stamatios Georgoulis
Yuan-zheng Li
Davide Scaramuzza
61
125
0
31 Mar 2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video
  Interpolation
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
Weihua He
Kaichao You
Zhendong Qiao
Xu Jia
Ziyang Zhang
Wenhui Wang
Huchuan Lu
Yaoyuan Wang
Jianxing Liao
84
41
0
25 Mar 2022
Unifying Motion Deblurring and Frame Interpolation with Events
Unifying Motion Deblurring and Frame Interpolation with Events
Xiang Zhang
Lei Yu
65
82
0
23 Mar 2022
Motion Deblurring with Real Events
Motion Deblurring with Real Events
Fang Xu
Lei Yu
Bishan Wang
Wen Yang
Guisong Xia
Xu Jia
Zhendong Qiao
Jian-zhuo Liu
80
90
0
28 Sep 2021
SUNet: Symmetric Undistortion Network for Rolling Shutter Correction
SUNet: Symmetric Undistortion Network for Rolling Shutter Correction
Bin Fan
Yuchao Dai
Mingyi He
39
36
0
10 Aug 2021
TimeLens: Event-based Video Frame Interpolation
TimeLens: Event-based Video Frame Interpolation
S. Tulyakov
Daniel Gehrig
Stamatios Georgoulis
Julius Erbach
Mathias Gehrig
Yuanyou Li
Davide Scaramuzza
98
187
0
14 Jun 2021
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
Zhihang Zhong
Yinqiang Zheng
Imari Sato
47
49
0
04 Apr 2021
Event Enhanced High-Quality Image Recovery
Event Enhanced High-Quality Image Recovery
Bishan Wang
Jingwei He
Lei Yu
Guisong Xia
Wen Yang
SupR
72
117
0
16 Jul 2020
v2e: From Video Frames to Realistic DVS Events
v2e: From Video Frames to Realistic DVS Events
Yuhuang Hu
Shih-Chii Liu
T. Delbruck
51
58
0
13 Jun 2020
From two rolling shutters to one global shutter
From two rolling shutters to one global shutter
Cenek Albl
Zuzana Kukelova
Viktor Larsson
Tomas Pajdla
Konrad Schindler
64
30
0
02 Jun 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
529
42,559
0
03 Dec 2019
Unsupervised Video Interpolation Using Cycle Consistency
Unsupervised Video Interpolation Using Cycle Consistency
F. Reda
Deqing Sun
Aysegül Dündar
Mohammad Shoeybi
Guilin Liu
Kevin J. Shih
Andrew Tao
Jan Kautz
Bryan Catanzaro
96
88
0
13 Jun 2019
Event-based Vision: A Survey
Event-based Vision: A Survey
Guillermo Gallego
T. Delbruck
Garrick Orchard
Chiara Bartolozzi
B. Taba
...
Stefan Leutenegger
Andrew J. Davison
Jorg Conradt
Kostas Daniilidis
Davide Scaramuzza
91
1,809
0
17 Apr 2019
Depth-Aware Video Frame Interpolation
Depth-Aware Video Frame Interpolation
Wenbo Bao
Wei-Sheng Lai
Chao Ma
Xiaoyun Zhang
Zhiyong Gao
Ming-Hsuan Yang
MDE
119
504
0
01 Apr 2019
Rolling-Shutter-Aware Differential SfM and Image Rectification
Rolling-Shutter-Aware Differential SfM and Image Rectification
Bingbing Zhuang
L. Cheong
Gim Hee Lee
33
65
0
10 Mar 2019
Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera
Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera
Liyuan Pan
C. Scheerlinck
Xin Yu
Leonid Sigal
Miaomiao Liu
Yuchao Dai
57
244
0
26 Nov 2018
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural
  Network for Video Interpolation and Enhancement
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement
Wenbo Bao
Wei-Sheng Lai
Xiaoyun Zhang
Zhiyong Gao
Ming-Hsuan Yang
87
321
0
20 Oct 2018
Minimal Solvers for Monocular Rolling Shutter Compensation under
  Ackermann Motion
Minimal Solvers for Monocular Rolling Shutter Compensation under Ackermann Motion
Pulak Purkait
Christopher Zach
25
20
0
08 Dec 2017
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for
  Video Interpolation
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang
Deqing Sun
Varun Jampani
Ming-Hsuan Yang
Erik Learned-Miller
Jan Kautz
120
788
0
30 Nov 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
261
2,447
0
07 Sep 2017
Video Frame Interpolation via Adaptive Separable Convolution
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus
Long Mai
Feng Liu
111
700
0
05 Aug 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
79
503
0
22 Mar 2017
Video Frame Synthesis using Deep Voxel Flow
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu
Raymond A. Yeh
Xiaoou Tang
Yiming Liu
A. Agarwala
99
748
0
08 Feb 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
344
8,169
0
13 Aug 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
82
415
0
09 Jul 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,341
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
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