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Event-LSTM: An Unsupervised and Asynchronous Learning-based
  Representation for Event-based Data

Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data

10 May 2021
Lakshmi Annamalai
Vignesh Ramanathan
Chetan Singh Thakur
ArXivPDFHTML

Papers citing "Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data"

17 / 17 papers shown
Title
Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
Hongwei Ren
Yue Zhou
Jiadong Zhu
Haotian Fu
Yulong Huang
Xiaopeng Lin
Yuetong Fang
Fei Ma
Hao Yu
Bo-Xun Cheng
Mamba
85
10
0
09 May 2024
v2e: From Video Frames to Realistic DVS Events
v2e: From Video Frames to Realistic DVS Events
Yuhuang Hu
Shih-Chii Liu
T. Delbruck
49
58
0
13 Jun 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
50
27
0
10 Jan 2020
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
49
166
0
19 Aug 2019
Speed Invariant Time Surface for Learning to Detect Corner Points with
  Event-Based Cameras
Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras
Jacques Manderscheid
A. Sironi
Nicolas Bourdis
D. Migliore
Vincent Lepetit
56
95
0
27 Mar 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
84
527
0
19 Dec 2018
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the
  brain
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
Chetan Singh Thakur
J. Molin
Gert Cauwenberghs
Giacomo Indiveri
Kundan Kumar
...
Jae-sun Seo
Shimeng Yu
Yu Cao
André van Schaik
R. Etienne-Cummings
61
237
0
23 May 2018
Event-based Vision meets Deep Learning on Steering Prediction for
  Self-driving Cars
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
A. I. Maqueda
Antonio Loquercio
Guillermo Gallego
Narciso García
Davide Scaramuzza
75
503
0
04 Apr 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
74
447
0
21 Mar 2018
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based
  Cameras
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
A. Z. Zhu
Liangzhe Yuan
Kenneth Chaney
Kostas Daniilidis
66
442
0
19 Feb 2018
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
126
1,934
0
27 Nov 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
232
8,019
0
22 May 2017
Phased LSTM: Accelerating Recurrent Network Training for Long or
  Event-based Sequences
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil
Michael Pfeiffer
Shih-Chii Liu
AI4TS
66
448
0
29 Oct 2016
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
90
945
0
31 Aug 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
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
135
3,494
0
24 Apr 2015
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
261
12,439
0
24 Jun 2012
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