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HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object
  Classification

HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification

21 March 2018
A. Sironi
Manuele Brambilla
Nicolas Bourdis
Xavier Lagorce
R. Benosman
ArXivPDFHTML

Papers citing "HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification"

50 / 210 papers shown
Title
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous
  Cars on the Loihi Neuromorphic Research Processor
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
Alberto Viale
Alberto Marchisio
Maurizio Martina
Guido Masera
Muhammad Shafique
37
45
0
01 Jul 2021
EventDrop: data augmentation for event-based learning
EventDrop: data augmentation for event-based learning
Fuqiang Gu
Weicong Sng
Xuke Hu
Fei Yu
24
37
0
07 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
Charlotte Frenkel
D. Bol
Giacomo Indiveri
34
33
0
02 Jun 2021
A Voxel Graph CNN for Object Classification with Event Cameras
A Voxel Graph CNN for Object Classification with Event Cameras
Yongjian Deng
Hao Chen
Haiyan Liu
Youfu Li
GNN
23
54
0
01 Jun 2021
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
Lakshmi Annamalai
Vignesh Ramanathan
Chetan Singh Thakur
19
15
0
10 May 2021
Lifting Monocular Events to 3D Human Poses
Lifting Monocular Events to 3D Human Poses
Gianluca Scarpellini
Pietro Morerio
Alessio Del Bue
3DH
43
22
0
21 Apr 2021
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using
  Domain Adaptation
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
M. Planamente
Chiara Plizzari
Marco Cannici
Marco Ciccone
Francesco Strada
A. Bottino
Matteo Matteucci
Barbara Caputo
15
16
0
23 Mar 2021
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
Chang Liu
Xiaojuan Qi
E. Lam
Ngai Wong
25
0
0
22 Mar 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
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
Mathias Gehrig
Willem Aarents
Daniel Gehrig
Davide Scaramuzza
3DV
42
318
0
10 Mar 2021
Representation Learning for Event-based Visuomotor Policies
Representation Learning for Event-based Visuomotor Policies
Sai H. Vemprala
Sami Mian
Ashish Kapoor
20
23
0
01 Mar 2021
A Spike Learning System for Event-driven Object Recognition
A Spike Learning System for Event-driven Object Recognition
Shibo Zhou
Wei Wang
Xiaohua Li
Zhanpeng Jin
22
5
0
21 Jan 2021
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event
  Stream
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
Viktor Rudnev
Vladislav Golyanik
Jiayi Wang
Hans-Peter Seidel
Franziska Mueller
Mohamed A. Elgharib
Christian Theobalt
34
51
0
11 Dec 2020
Sparse Convolutions on Continuous Domains for Point Cloud and Event
  Stream Networks
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
Dominic Jack
Frederic Maire
Simon Denman
Anders P. Eriksson
3DPC
16
3
0
02 Dec 2020
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
16
102
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
19
501
0
29 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking
  Neural Networks from Scratch
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
Youngeun Kim
Priyadarshini Panda
30
171
0
05 Oct 2020
Learning to Detect Objects with a 1 Megapixel Event Camera
Learning to Detect Objects with a 1 Megapixel Event Camera
E. Perot
Pierre de Tournemire
D. Nitti
Jonathan Masci
A. Sironi
ObjD
14
250
0
28 Sep 2020
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem
  Formulation
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
Dimche Kostadinov
Davide Scaramuzza
SSL
6
4
0
23 Sep 2020
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision
  Sensor
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor
Wensheng Cheng
Haowen Luo
Wen Yang
Lei Yu
Wei Li
31
19
0
14 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
70
508
0
11 Jul 2020
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary
  Dynamic Vision Sensors
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors
Vivek Mohan
Deepak Singla
Tarun Pulluri
Andrés Ussa
P. K. Gopalakrishnan
P. Sun
Bharath Ramesh
A. Basu
23
10
0
31 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a
  Survey
Spiking Neural Networks Hardware Implementations and Challenges: a Survey
Maxence Bouvier
A. Valentian
T. Mesquida
F. Rummens
M. Reyboz
Elisa Vianello
E. Beigné
56
113
0
04 May 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature
  Extraction
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Alireza Samadzadeh
Fatemeh Sadat Tabatabaei Far
Ali Javadi
A. Nickabadi
M. Chehreghani
38
49
0
27 Mar 2020
Event-based Asynchronous Sparse Convolutional Networks
Event-based Asynchronous Sparse Convolutional Networks
Nico Messikommer
Daniel Gehrig
Antonio Loquercio
Davide Scaramuzza
18
149
0
20 Mar 2020
Reducing the Sim-to-Real Gap for Event Cameras
Reducing the Sim-to-Real Gap for Event Cameras
Timo Stoffregen
C. Scheerlinck
Davide Scaramuzza
Tom Drummond
Nick Barnes
L. Kleeman
Robert E. Mahony
18
7
0
20 Mar 2020
HyNNA: Improved Performance for Neuromorphic Vision Sensor based
  Surveillance using Hybrid Neural Network Architecture
HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Deepak Singla
Soham Chatterjee
Lavanya Ramapantulu
Andrés Ussa
Bharath Ramesh
A. Basu
16
11
0
19 Mar 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
Memory Organization for Energy-Efficient Learning and Inference in
  Digital Neuromorphic Accelerators
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators
Clemens J. S. Schaefer
Patrick Faley
Emre Neftci
S. Joshi
20
2
0
05 Mar 2020
Learning to Deblur and Generate High Frame Rate Video with an Event
  Camera
Learning to Deblur and Generate High Frame Rate Video with an Event Camera
Haoyu Chen
Minggui Teng
Boxin Shi
Wang YIzhou
Huang Tiejun
18
41
0
02 Mar 2020
Inceptive Event Time-Surfaces for Object Classification Using
  Neuromorphic Cameras
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras
R. W. Baldwin
Mohammed Almatrafi
Jason R. Kaufman
V. Asari
Keigo Hirakawa
6
32
0
26 Feb 2020
End-to-end Learning of Object Motion Estimation from Retinal Events for
  Event-based Object Tracking
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
Haosheng chen
David Suter
Qiangqiang Wu
Hanzi Wang
25
46
0
14 Feb 2020
Effective AER Object Classification Using Segmented
  Probability-Maximization Learning in Spiking Neural Networks
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
Qianhui Liu
Haibo Ruan
Dong Xing
Huajin Tang
Gang Pan
14
65
0
14 Feb 2020
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for
  Event-based Object Tracking
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking
Haosheng chen
Qiangqiang Wu
Yanjie Liang
Xinbo Gao
Hanzi Wang
14
41
0
13 Feb 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
9
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
Motion Equivariance OF Event-based Camera Data with the Temporal
  Normalization Transform
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform
ZiYun Wang
36
0
0
28 Nov 2019
EvAn: Neuromorphic Event-based Anomaly Detection
EvAn: Neuromorphic Event-based Anomaly Detection
Lakshmi Annamalai
Anirban Chakraborty
Chetan Singh Thakur
22
3
0
21 Nov 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
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
15
164
0
19 Aug 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
6
573
0
15 Jun 2019
CED: Color Event Camera Dataset
CED: Color Event Camera Dataset
C. Scheerlinck
Henri Rebecq
Timo Stoffregen
Nick Barnes
Robert E. Mahony
Davide Scaramuzza
VGen
14
83
0
24 Apr 2019
PCA-RECT: An Energy-efficient Object Detection Approach for Event
  Cameras
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras
Bharath Ramesh
Andrés Ussa
L. D. Vedova
Hong Yang
Garrick Orchard
11
14
0
24 Apr 2019
Event-based Vision: A Survey
Event-based Vision: A Survey
Guillermo Gallego
T. Delbruck
Garrick Orchard
Chiara Bartolozzi
B. Taba
...
Stefan Leutenegger
Andrew J. Davison
Jorg Conradt
Kostas Daniilidis
Davide Scaramuzza
11
1,752
0
17 Apr 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
17
352
0
17 Apr 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
DRL
AI4TS
13
329
0
17 Apr 2019
Focus Is All You Need: Loss Functions For Event-based Vision
Focus Is All You Need: Loss Functions For Event-based Vision
Guillermo Gallego
Mathias Gehrig
Davide Scaramuzza
39
136
0
15 Apr 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
16
95
0
27 Mar 2019
Motion Equivariant Networks for Event Cameras with the Temporal
  Normalization Transform
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform
A. Z. Zhu
Ziyun Wang
Kostas Daniilidis
ViT
3DPC
28
7
0
18 Feb 2019
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