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A Dynamic Graph CNN with Cross-Representation Distillation for
  Event-Based Recognition
v1v2 (latest)

A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition

8 February 2023
Yongjian Deng
Hao Chen
Bochen Xie
Hai Liu
Youfu Li
ArXiv (abs)PDFHTML

Papers citing "A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition"

20 / 20 papers shown
Title
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
90
97
0
28 Aug 2023
AEGNN: Asynchronous Event-based Graph Neural Networks
AEGNN: Asynchronous Event-based Graph Neural Networks
S. Schaefer
Daniel Gehrig
Davide Scaramuzza
GNN
78
149
0
31 Mar 2022
ESS: Learning Event-based Semantic Segmentation from Still Images
ESS: Learning Event-based Semantic Segmentation from Still Images
Zhaoning Sun
Nico Messikommer
Daniel Gehrig
Davide Scaramuzza
82
82
0
18 Mar 2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural
  Network
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
Lin Zhu
Tianlin Li
Yi Chang
Jianing Li
Tiejun Huang
Yonghong Tian
73
98
0
25 Jan 2022
Spatio-temporal Self-Supervised Representation Learning for 3D Point
  Clouds
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
Siyuan Huang
Yichen Xie
Song-Chun Zhu
Yixin Zhu
3DPC
87
211
0
01 Sep 2021
Global Pooling, More than Meets the Eye: Position Information is Encoded
  Channel-Wise in CNNs
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
Md. Amirul Islam
M. Kowal
Sen Jia
Konstantinos G. Derpanis
Neil D. B. Bruce
60
28
0
17 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
68
139
0
03 Jun 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
77
109
0
10 Mar 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
59
105
0
12 Nov 2020
EventSR: From Asynchronous Events to Image Reconstruction, Restoration,
  and Super-Resolution via End-to-End Adversarial Learning
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
Lin Wang
Tae-Kyun Kim
Kuk-Jin Yoon
AI4TSSupR
57
102
0
17 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
390
18,897
0
13 Feb 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
95
212
0
06 Dec 2019
End-to-End Learning of Representations for Asynchronous Event-Based Data
End-to-End Learning of Representations for Asynchronous Event-Based Data
Daniel Gehrig
Antonio Loquercio
Konstantinos G. Derpanis
Davide Scaramuzza
DRLAI4TS
94
337
0
17 Apr 2019
Asynchronous Convolutional Networks for Object Detection in Neuromorphic
  Cameras
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras
Marco Cannici
Marco Ciccone
Andrea Romanoni
Matteo Matteucci
ObjD
57
114
0
21 May 2018
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object
  Classification
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
A. Sironi
Manuele Brambilla
Nicolas Bourdis
Xavier Lagorce
R. Benosman
77
448
0
21 Mar 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
498
14,371
0
02 Dec 2016
Bioinspired Visual Motion Estimation
Bioinspired Visual Motion Estimation
Garrick Orchard
R. Etienne-Cummings
36
41
0
31 Oct 2015
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
281
0
05 Aug 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
322
3,899
0
19 Dec 2014
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