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Graph-Based Object Classification for Neuromorphic Vision Sensing

Graph-Based Object Classification for Neuromorphic Vision Sensing

19 August 2019
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
    GNN
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Papers citing "Graph-Based Object Classification for Neuromorphic Vision Sensing"

36 / 36 papers shown
Title
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
Haiyu Li
Charith Abhayaratne
14
0
0
16 May 2025
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
Haosheng chen
Lian Luo
Mengjingcheng Mo
Zhanjie Wu
Guobao Xiao
Ji Gan
Jiaxu Leng
Xinbo Gao
34
0
0
23 Apr 2025
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey
Haoyang Wang
Ruishan Guo
Pengtao Ma
Ciyu Ruan
Xinyu Luo
Wenhua Ding
Tianyang Zhong
Jingao Xu
Yunhao Liu
Xinlei Chen
52
0
0
29 Mar 2025
NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
Ben Walters
Y. Bethi
Taylor Kergan
Binh Nguyen
A. Amirsoleimani
Jason Eshraghian
Saeed Afshar
M. R. Azghadi
36
0
0
28 Feb 2025
Expanding Event Modality Applications through a Robust CLIP-Based Encoder
Expanding Event Modality Applications through a Robust CLIP-Based Encoder
SungHeon Jeong
Hanning Chen
Sanggeon Yun
Suhyeon Cho
Wenjun Huang
Xiangjian Liu
Mohsen Imani
103
1
0
04 Dec 2024
OmniBind: Teach to Build Unequal-Scale Modality Interaction for
  Omni-Bind of All
OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All
Yuanhuiyi Lyu
Xueye Zheng
Dahun Kim
Lin Wang
59
14
0
25 May 2024
Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection
Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection
Xuelei Chen
Sotirios Spanogianopoulos
32
1
0
27 Sep 2023
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Yijin Li
Han Zhou
Bangbang Yang
Yexin Zhang
Zhaopeng Cui
Hujun Bao
Guofeng Zhang
41
95
0
28 Aug 2023
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
Tianlin Li
Zong-Yao Wu
Yao Rong
Lin Zhu
Bowei Jiang
Jin Tang
Yonghong Tian
ViT
77
18
0
08 Aug 2023
Learning Optical Flow from Event Camera with Rendered Dataset
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
Pushing the Limits of Asynchronous Graph-based Object Detection with
  Event Cameras
Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras
Daniel Gehrig
Davide Scaramuzza
GNN
38
29
0
22 Nov 2022
Event Transformer+. A multi-purpose solution for efficient event data
  processing
Event Transformer+. A multi-purpose solution for efficient event data processing
Alberto Sabater
Luis Montesano
Ana C. Murillo
ViT
36
8
0
22 Nov 2022
Spiking Neural Networks for event-based action recognition: A new task
  to understand their advantage
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
Alex Vicente-Sola
D. L. Manna
Paul Kirkland
G. D. Caterina
Trevor Bihl
26
8
0
29 Sep 2022
High Speed Rotation Estimation with Dynamic Vision Sensors
High Speed Rotation Estimation with Dynamic Vision Sensors
Guangrong Zhao
Yiran Shen
Ning Chen
Peng-Hao Hu
Lei Liu
Hongkai Wen
23
3
0
06 Sep 2022
Event Transformer. A sparse-aware solution for efficient event data
  processing
Event Transformer. A sparse-aware solution for efficient event data processing
Alberto Sabater
Luis Montesano
Ana C. Murillo
34
51
0
07 Apr 2022
AEGNN: Asynchronous Event-based Graph Neural Networks
AEGNN: Asynchronous Event-based Graph Neural Networks
S. Schaefer
Daniel Gehrig
Davide Scaramuzza
GNN
26
142
0
31 Mar 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
45
97
0
29 Mar 2022
Rethinking Pretraining as a Bridge from ANNs to SNNs
Rethinking Pretraining as a Bridge from ANNs to SNNs
Yihan Lin
Yifan Hu
Shiji Ma
Guo-Qi Li
Dongjie Yu
42
12
0
02 Mar 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Kenneth Stewart
Emre Neftci
35
25
0
26 Jan 2022
EvDistill: Asynchronous Events to End-task Learning via Bidirectional
  Reconstruction-guided Cross-modal Knowledge Distillation
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Lin Wang
Yujeong Chae
Sung-Hoon Yoon
Tae-Kyun Kim
Kuk-Jin Yoon
47
64
0
24 Nov 2021
Dual Transfer Learning for Event-based End-task Prediction via Pluggable
  Event to Image Translation
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
Lin Wang
Yujeong Chae
Kuk-Jin Yoon
32
32
0
04 Sep 2021
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Haowen Fang
Brady Taylor
Ziru Li
Zaidao Mei
Hai Helen Li
Qinru Qiu
38
10
0
21 Apr 2021
Time-Ordered Recent Event (TORE) Volumes for Event Cameras
Time-Ordered Recent Event (TORE) Volumes for Event Cameras
R. W. Baldwin
Ruixu Liu
Mohammed Almatrafi
V. Asari
Keigo Hirakawa
AI4TS
30
108
0
10 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
117
0
16 Dec 2020
Cascade Graph Neural Networks for RGB-D Salient Object Detection
Cascade Graph Neural Networks for RGB-D Salient Object Detection
Ao Luo
Xin Li
Fan Yang
Zhicheng Jiao
Hong Cheng
Siwei Lyu
24
107
0
07 Aug 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
72
508
0
11 Jul 2020
Event Probability Mask (EPM) and Event Denoising Convolutional Neural
  Network (EDnCNN) for Neuromorphic Cameras
Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras
R. W. Baldwin
Mohammed Almatrafi
V. Asari
Keigo Hirakawa
50
74
0
18 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
171
738
0
02 Mar 2020
A Large Scale Event-based Detection Dataset for Automotive
A Large Scale Event-based Detection Dataset for Automotive
Pierre de Tournemire
D. Nitti
E. Perot
D. Migliore
A. Sironi
24
118
0
23 Jan 2020
A Differentiable Recurrent Surface for Asynchronous Event-Based Data
A Differentiable Recurrent Surface for Asynchronous Event-Based Data
Marco Cannici
Marco Ciccone
Andrea Romanoni
Matteo Matteucci
12
27
0
10 Jan 2020
Video to Events: Recycling Video Datasets for Event Cameras
Video to Events: Recycling Video Datasets for Event Cameras
Daniel Gehrig
Mathias Gehrig
Javier Hidalgo-Carrió
Davide Scaramuzza
36
210
0
06 Dec 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision
  Sensing
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
25
26
0
08 Oct 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
32
126
0
30 Jul 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
263
1,812
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
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
38
592
0
26 Oct 2016
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