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Event-based Video Reconstruction via Potential-assisted Spiking Neural
  Network
v1v2v3 (latest)

Event-based Video Reconstruction via Potential-assisted Spiking Neural Network

25 January 2022
Lin Zhu
Tianlin Li
Yi Chang
Jianing Li
Tiejun Huang
Yonghong Tian
ArXiv (abs)PDFHTML

Papers citing "Event-based Video Reconstruction via Potential-assisted Spiking Neural Network"

37 / 37 papers shown
Title
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
Hanyue Lou
Jinxiu Liang
Minggui Teng
Yi Wang
Boxin Shi
VGen
76
0
0
22 May 2025
Spiking Neural Network as Adaptive Event Stream Slicer
Spiking Neural Network as Adaptive Event Stream Slicer
Jiahang Cao
Mingyuan Sun
Ziqing Wang
Hao Cheng
Qiang Zhang
Shibo Zhou
Renjing Xu
111
2
0
03 Oct 2024
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
Tianlin Li
Yao Rong
Shiao Wang
Yuan Chen
Zhe Wu
Bowei Jiang
Yonghong Tian
Jin Tang
ViT
118
3
0
18 Dec 2023
StereoSpike: Depth Learning with a Spiking Neural Network
StereoSpike: Depth Learning with a Spiking Neural Network
Ulysse Rançon
Javier Cuadrado-Anibarro
Benoit R. Cottereau
T. Masquelier
57
35
0
28 Sep 2021
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event
  Flows
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
Tianlin Li
Jianing Li
Lin Zhu
Zhipeng Zhang
Zhe Chen
Xin Li
Yaowei Wang
Yonghong Tian
Feng Wu
73
130
0
11 Aug 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural
  Networks
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
J. Hagenaars
Federico Paredes-Valles
Guido de Croon
65
139
0
03 Jun 2021
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
Chethan Parameshwara
Simin Li
Cornelia Fermuller
N. Sanket
Matthew Evanusa
Yiannis Aloimonos
56
44
0
13 May 2021
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and
  Efficient Spatiotemporal Information Processing
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Zhenzhi Wu
Hehui Zhang
Yihan Lin
Guoqi Li
Meng Wang
Ye Tang
AI4TS
52
104
0
12 Nov 2020
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Hanle Zheng
Yujie Wu
Lei Deng
Yifan Hu
Guoqi Li
69
524
0
29 Oct 2020
Back to Event Basics: Self-Supervised Learning of Image Reconstruction
  for Event Cameras via Photometric Constancy
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
Federico Paredes-Valles
Guido de Croon
79
151
0
17 Sep 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of
  Spiking Neural Networks
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
T. Masquelier
Tiejun Huang
Yonghong Tian
152
530
0
11 Jul 2020
Event-Based Angular Velocity Regression with Spiking Networks
Event-Based Angular Velocity Regression with Spiking Networks
Mathias Gehrig
S. Shrestha
Daniel Mouritzen
Davide Scaramuzza
45
86
0
05 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
523
42,559
0
03 Dec 2019
A Retina-inspired Sampling Method for Visual Texture Reconstruction
A Retina-inspired Sampling Method for Visual Texture Reconstruction
Lin Zhu
Siwei Dong
Tiejun Huang
Yonghong Tian
3DH
38
91
0
20 Jul 2019
High Speed and High Dynamic Range Video with an Event Camera
High Speed and High Dynamic Range Video with an Event Camera
Henri Rebecq
René Ranftl
V. Koltun
Davide Scaramuzza
68
587
0
15 Jun 2019
Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Henri Rebecq
René Ranftl
V. Koltun
Davide Scaramuzza
VGen
85
365
0
17 Apr 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network
  Architectures
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures
Chankyu Lee
Syed Shakib Sarwar
Priyadarshini Panda
G. Srinivasan
Kaushik Roy
76
397
0
15 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
92
1,240
0
28 Jan 2019
Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
A. Z. Zhu
Liangzhe Yuan
Kenneth Chaney
Kostas Daniilidis
MDE
87
537
0
19 Dec 2018
Asynchronous Spatial Image Convolutions for Event Cameras
Asynchronous Spatial Image Convolutions for Event Cameras
C. Scheerlinck
Nick Barnes
Robert E. Mahony
67
56
0
02 Dec 2018
Event-based High Dynamic Range Image and Very High Frame Rate Video
  Generation using Conditional Generative Adversarial Networks
Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
Mohammad Mostafavi
Lin Wang
Yo-Sung Ho
Kuk-Jin Yoon
VGenGAN
55
206
0
20 Nov 2018
Continuous-time Intensity Estimation Using Event Cameras
Continuous-time Intensity Estimation Using Event Cameras
C. Scheerlinck
Nick Barnes
Robert E. Mahony
78
203
0
01 Nov 2018
SLAYER: Spike Layer Error Reassignment in Time
SLAYER: Spike Layer Error Reassignment in Time
S. Shrestha
Garrick Orchard
59
752
0
05 Sep 2018
Learning Blind Video Temporal Consistency
Learning Blind Video Temporal Consistency
Wei-Sheng Lai
Jia-Bin Huang
Oliver Wang
Eli Shechtman
Ersin Yumer
Ming-Hsuan Yang
93
368
0
01 Aug 2018
Unsupervised Learning of a Hierarchical Spiking Neural Network for
  Optical Flow Estimation: From Events to Global Motion Perception
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
Federico Paredes-Valles
Kirk Y. W. Scheper
Guido C. H. E de Croon
47
156
0
28 Jul 2018
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking
  Neural Networks
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Yingyezhe Jin
Wenrui Zhang
Peng Li
48
176
0
21 May 2018
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset
  for 3D Perception
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
A. Z. Zhu
Dinesh Thakur
Tolga Özaslan
Bernd Pfrommer
Vijay Kumar
Kostas Daniilidis
3DV3DPC
61
470
0
30 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
379
11,877
0
11 Jan 2018
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth
  Neurosynaptic System
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System
G. Haessig
A. Cassidy
Rodrigo Alvarez
R. Benosman
Garrick Orchard
50
79
0
26 Oct 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking
  Neural Networks
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
64
1,025
0
08 Jun 2017
The Event-Camera Dataset and Simulator: Event-based Data for Pose
  Estimation, Visual Odometry, and SLAM
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM
Elias Mueggler
Henri Rebecq
Guillermo Gallego
T. Delbruck
Davide Scaramuzza
VGen
97
599
0
26 Oct 2016
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
92
945
0
31 Aug 2016
Real-Time Intensity-Image Reconstruction for Event Cameras Using
  Manifold Regularisation
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
Christian Reinbacher
Gottfried Munda
Thomas Pock
59
202
0
21 Jul 2016
HFirst: A Temporal Approach to Object Recognition
HFirst: A Temporal Approach to Object Recognition
Garrick Orchard
Cedric Meyer
R. Etienne-Cummings
C. Posch
N. Thakor
R. Benosman
71
280
0
05 Aug 2015
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
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
422
43,777
0
01 May 2014
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