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Recurrent Vision Transformers for Object Detection with Event Cameras
v1v2v3 (latest)

Recurrent Vision Transformers for Object Detection with Event Cameras

11 December 2022
Mathias Gehrig
Davide Scaramuzza
ArXiv (abs)PDFHTML

Papers citing "Recurrent Vision Transformers for Object Detection with Event Cameras"

48 / 48 papers shown
Title
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
89
0
0
29 Mar 2025
Frequency-Adaptive Low-Latency Object Detection Using Events and Frames
Frequency-Adaptive Low-Latency Object Detection Using Events and Frames
Haitian Zhang
Xiangyuan Wang
Chang Xu
Xinya Wang
Fang Xu
Huai Yu
Lei Yu
Wen Yang
ObjD
146
0
0
05 Dec 2024
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
Tianlin Li
Yao Rong
Shiao Wang
Yuan Chen
Zhe Wu
Bowei Jiang
Yonghong Tian
Jin Tang
ViT
131
3
0
18 Dec 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
87
97
0
28 Aug 2023
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Xu Liu
Jianing Li
Xiaopeng Fan
Yonghong Tian
ViTMDE
101
16
0
06 Dec 2022
Object Detection with Spiking Neural Networks on Automotive Event Data
Object Detection with Spiking Neural Networks on Automotive Event Data
Loic Cordone
Benoit Miramond
Philippe Thiérion
66
105
0
09 May 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
62
52
0
07 Apr 2022
MaxViT: Multi-Axis Vision Transformer
MaxViT: Multi-Axis Vision Transformer
Zhengzhong Tu
Hossein Talebi
Han Zhang
Feng Yang
P. Milanfar
A. Bovik
Yinxiao Li
ViT
133
666
0
04 Apr 2022
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
VideoMAE: Masked Autoencoders are Data-Efficient Learners for
  Self-Supervised Video Pre-Training
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong
Yibing Song
Jue Wang
Limin Wang
ViT
228
1,206
0
23 Mar 2022
Bina-Rep Event Frames: a Simple and Effective Representation for
  Event-based cameras
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras
Sami Barchid
José Mennesson
Chaabane Djéraba
58
12
0
28 Feb 2022
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers
Zuowen Wang
Yuhuang Hu
Shih-Chii Liu
ViT
83
33
0
10 Feb 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
186
5,213
0
10 Jan 2022
Temporal-wise Attention Spiking Neural Networks for Event Streams
  Classification
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
Man Yao
Huanhuan Gao
Guangshe Zhao
Dingheng Wang
Yihan Lin
Zhao-Xu Yang
Guoqi Li
AI4TS
54
160
0
25 Jul 2021
YOLOX: Exceeding YOLO Series in 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
158
4,103
0
18 Jul 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
84
1,027
0
28 Apr 2021
Going deeper with Image Transformers
Going deeper with Image Transformers
Hugo Touvron
Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Hervé Jégou
ViT
160
1,021
0
31 Mar 2021
ViViT: A Video Vision Transformer
ViViT: A Video Vision Transformer
Anurag Arnab
Mostafa Dehghani
G. Heigold
Chen Sun
Mario Lucic
Cordelia Schmid
ViT
225
2,168
0
29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
465
21,566
0
25 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
77
109
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
98
336
0
10 Mar 2021
Conditional Positional Encodings for Vision Transformers
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu
Zhi Tian
Bo Zhang
Xinlong Wang
Chunhua Shen
ViT
87
620
0
22 Feb 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
391
2,064
0
09 Feb 2021
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Zhengqi Li
Simon Niklaus
Noah Snavely
Oliver Wang
137
811
0
26 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
676
41,483
0
22 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
67
261
0
28 Sep 2020
Event-based Asynchronous Sparse Convolutional Networks
Event-based Asynchronous Sparse Convolutional Networks
Nico Messikommer
Daniel Gehrig
Antonio Loquercio
Davide Scaramuzza
62
153
0
20 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
76
126
0
23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,591
0
03 Dec 2019
Separable Convolutional LSTMs for Faster Video Segmentation
Separable Convolutional LSTMs for Faster Video Segmentation
Andreas Pfeuffer
Klaus C. J. Dietmayer
VOS
33
21
0
16 Jul 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
103
462
0
27 May 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
91
1,811
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
DRLAI4TS
91
337
0
17 Apr 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network
  Architectures
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures
Chankyu Lee
Syed Shakib Sarwar
Priyadarshini Panda
G. Srinivasan
Kaushik Roy
76
398
0
15 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
102
1,240
0
28 Jan 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
90
537
0
19 Dec 2018
SLAYER: Spike Layer Error Reassignment in Time
SLAYER: Spike Layer Error Reassignment in Time
S. Shrestha
Garrick Orchard
62
752
0
05 Sep 2018
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
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
130
21,488
0
08 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
789
132,454
0
12 Jun 2017
SuperSpike: Supervised learning in multi-layer spiking neural networks
SuperSpike: Supervised learning in multi-layer spiking neural networks
Friedemann Zenke
Surya Ganguli
83
566
0
31 May 2017
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
92
947
0
31 Aug 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
432
10,531
0
21 Jul 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
249
29,879
0
08 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
568
8,007
0
13 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
724
37,033
0
08 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
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