Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2106.01862
Cited By
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
3 June 2021
J. Hagenaars
Federico Paredes-Valles
Guido de Croon
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks"
37 / 37 papers shown
Title
Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs
K. Jeziorek
T. Kryjak
AI4TS
51
0
0
12 May 2025
Nonlinear Motion-Guided and Spatio-Temporal Aware Network for Unsupervised Event-Based Optical Flow
Zuntao Liu
Hao Zhuang
Junjie Jiang
Yuhang Song
Zheng Fang
50
0
0
08 May 2025
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
Hongze Sun
Jun Wang
Wuque Cai
Duo Chen
Qianqian Liao
Jiayi He
Yan Cui
D. Yao
Daqing Guo
65
0
0
13 Mar 2025
LLM-EvRep: Learning an LLM-Compatible Event Representation Using a Self-Supervised Framework
Zongyou Yu
Qiang Qu
Qian Zhang
Nan Zhang
Xiaoming Chen
101
3
0
21 Feb 2025
Degree-Conscious Spiking Graph for Cross-Domain Adaptation
Yingxu Wang
Mengzhu Wang
Siwei Liu
Houcheng Su
Nan Yin
James Kwok
39
3
0
09 Oct 2024
Spiking Neural Network as Adaptive Event Stream Slicer
Jiahang Cao
Mingyuan Sun
Ziqing Wang
Hao Cheng
Qiang Zhang
Shibo Zhou
Renjing Xu
53
1
0
03 Oct 2024
Vector-Symbolic Architecture for Event-Based Optical Flow
Hongzhi You
Yijun Cao
Wei Yuan
Fanjun Wang
Ning Qiao
Yongjie Li
56
2
0
14 May 2024
TDE-3: An improved prior for optical flow computation in spiking neural networks
Matthew Yedutenko
Federico Paredes-Valles
Lyes Khacef
Guido de Croon
35
0
0
18 Feb 2024
Automotive Object Detection via Learning Sparse Events by Spiking Neurons
Hu Zhang
Yanchen Li
Luziwei Leng
Kaiwei Che
Qian Liu
Qinghai Guo
Jianxing Liao
Ran Cheng
42
6
0
24 Jul 2023
Towards Anytime Optical Flow Estimation with Event Cameras
Yaozu Ye
Haowen Shi
Kailun Yang
Ze Wang
Xiaoyue Yin
Yining Lin
Mao Liu
Yaonan Wang
3DPC
72
7
0
11 Jul 2023
EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss
Zhuang Hao
Xinjie Huang
Kuanxu Hou
Delei Kong
Chenming Hu
Zheng Fang
29
11
0
13 May 2023
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
Rui Zhang
Luziwei Leng
Kaiwei Che
Hu Zhang
Jieling Cheng
Qinghai Guo
Jiangxing Liao
Ran Cheng
36
11
0
24 Apr 2023
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
Yannick Schnider
Stanisław Woźniak
Mathias Gehrig
J. Lecomte
Axel von Arnim
Luca Benini
Davide Scaramuzza
A. Pantazi
40
15
0
14 Apr 2023
Learning Optical Flow from Event Camera with Rendered Dataset
Xinglong Luo
Kunming Luo
Ao Luo
Zhengning Wang
Ping Tan
Shuaicheng Liu
32
17
0
20 Mar 2023
Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer
Shihao Zou
Yuxuan Mu
Wei Ji
Zi-An Wang
Xinxin Zuo
Sen Wang
Weixin Si
Li Cheng
3DH
44
15
0
16 Mar 2023
Fully neuromorphic vision and control for autonomous drone flight
Federico Paredes-Valles
J. Hagenaars
Julien Dupeyroux
S. Stroobants
Ying Xu
Guido de Croon
38
36
0
15 Mar 2023
EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision
Jianping Jiang
Jiahe Li
Baowen Zhang
Xiaoming Deng
Boxin Shi
23
7
0
06 Mar 2023
Fast Event-based Optical Flow Estimation by Triplet Matching
Shintaro Shiba
Y. Aoki
Guillermo Gallego
29
14
0
23 Dec 2022
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework
Shintaro Shiba
Y. Aoki
Guillermo Gallego
35
16
0
14 Dec 2022
Learning to See Through with Events
Lei Yu
Xiang Zhang
Wei Liao
Wentao Yang
Guisong Xia
44
14
0
05 Dec 2022
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
Yilun Wu
Federico Paredes-Valles
Guido de Croon
28
19
0
24 Nov 2022
Learning Dense and Continuous Optical Flow from an Event Camera
Zhexiong Wan
Yuchao Dai
Yuxin Mao
37
57
0
16 Nov 2022
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks
M. Apolinario
Adarsh Kosta
Utkarsh Saxena
Kaushik Roy
25
7
0
03 Nov 2022
Globally Optimal Event-Based Divergence Estimation for Ventral Landing
Sofia Mcleod
Gabriele Meoni
Dario Izzo
Anne Mergy
Daqi Liu
Yasir Latif
Ian Reid
Tat-Jun Chin
53
10
0
27 Sep 2022
EDeNN: Event Decay Neural Networks for low latency vision
Celyn Walters
Simon Hadfield
30
1
0
09 Sep 2022
Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion
Suman Ghosh
Guillermo Gallego
MDE
37
31
0
21 Jul 2022
Secrets of Event-Based Optical Flow
Shintaro Shiba
Y. Aoki
Guillermo Gallego
3DPC
35
96
0
20 Jul 2022
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware
Simon F. Müller-Cleve
Vittorio Fra
Lyes Khacef
Alejandro Pequeño-Zurro
Daniel Klepatsch
...
D. G. Ivanovich
Shavika Rastogi
Gianvito Urgese
Friedemann Zenke
Chiara Bartolozzi
27
38
0
30 May 2022
Emergent Visual Sensors for Autonomous Vehicles
You Li
Julien Moreau
J. Ibañez-Guzmán
47
28
0
19 May 2022
StereoSpike: Depth Learning with a Spiking Neural Network
Ulysse Rançon
Javier Cuadrado-Anibarro
Benoit R. Cottereau
T. Masquelier
30
34
0
28 Sep 2021
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
Loic Cordone
Benoit Miramond
Sonia Ferrante
38
36
0
26 Apr 2021
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
123
481
0
08 Feb 2021
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Weihua He
Yujie Wu
Lei Deng
Guoqi Li
Haoyu Wang
Yang Tian
Wei Ding
Wenhui Wang
Yuan Xie
88
125
0
02 May 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
93
161
0
14 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
121
481
0
26 Mar 2018
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
38
592
0
26 Oct 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
239
7,916
0
13 Jun 2015
1