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State-of-the-art machine-learning methods for event cameras treat events as dense representations and process them with conventional deep neural networks.
Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories
L. Fei-Fei, R. Fergus, and P. Perona · 2004
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Real-time classification of complex patterns using spike-based learning in neuromorphic vlsi
Srinjoy Mitra, Stefano Fusi, and Giacomo Indiveri · 2009
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Neuromorphic silicon neuron circuits
Giacomo Indiveri, Bernabe Linares-Barranco, Tara Hamilton, André van Schaik, Ralph Etienne-Cummings, Tobi Delbruck, Shih-Chii Liu, Piotr Dudek, Philipp Häfliger, Sylvie Renaud, Johannes Schemmel, Gert Cauwenberghs, John Arthur, Kai Hynna, Fopefolu Folowosele, Sylvain SAÏGHI, Teresa Serrano-Gotarredona, Jayawan Wijekoon, Yingxue Wang, and Kwabena Boahen · 2011
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A QVGA 143 dB dynamic range frame-free PWM image sensor with lossless pixel-level video compression and time-domain CDS
Christoph Posch, Daniel Matolin, and Rainer Wohlgenannt · 2011
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Mapping from frame-driven to frame-free event-driven vision systems by low-rate rate coding and coincidence processing–application to feedforward ConvNets
José A. Perez-Carrasco, Bo Zhao, Carmen Serrano, Begoña Acha, Teresa Serrano-Gotarredona, Shouchun Chen, and Bernabé Linares-Barranco · 2013
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A 240x180 130dB 3
Christian Brandli, Raphael Berner, Minhao Yang, Shih-Chii Liu, and Tobi Delbruck · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Fast R-CNN
Ross Girshick · 2015
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Converting static image datasets to spiking neuromorphic datasets using saccades
Garrick Orchard, Ajinkya Jayawant, Gregory K. Cohen, and Nitish Thakor · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Training deep spiking neural networks using backpropagation
Jun Haeng Lee, Tobi Delbruck, and Michael Pfeiffer · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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A low power, fully event-based gesture recognition system
Arnon Amir, Brian Taba, David Berg, Timothy Melano, Jeffrey McKinstry, Carmelo Di Nolfo, Tapan Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, Jeff Kusnitz, Michael Debole, Steve Esser, Tobi Delbruck, Myron Flickner, and Dharmendra Modha · 2017
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Pseudo-labels for supervised learning on dynamic vision sensor data, applied to object detection under ego-motion
Nicholas F. Y. Chen · 2018
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Splinecnn: Fast geometric deep learning with continuous b-spline kernels
Matthias Fey, Jan Eric Lenssen, Frank Weichert, and Heinrich Müller · 2018
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3D semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
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Towards event-driven object detection with off-the-shelf deep learning
Massimiliano Iacono, Stefan Weber, Arren Glover, and Chiara Bartolozzi · 2018
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Averaging weights leads to wider optima and better generalization
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry Vetrov, and Andrew Gordon Wilson · 2018
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Event-based moving object detection and tracking
Anton Mitrokhin, Cornelia Fermuller, Chethan Parameshwara, and Yiannis Aloimonos · 2018
Cited alongside, same era.
Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
A differentiable recurrent surface for asynchronous event-based data
Marco Cannici, Marco Ciccone, Andrea Romanoni, and Matteo Matteucci · 2020
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A large scale event-based detection dataset for automotive
Pierre de Tournemire, Davide Nitti, Etienne Perot, Davide Migliore, and Amos Sironi · 2020
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Dynamic obstacle avoidance for quadrotors with event cameras
Davide Falanga, Kevin Kleber, and Davide Scaramuzza · 2020
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Event-based vision: A survey
Guillermo Gallego, Tobi Delbruck, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew Davison, Jörg Conradt, Kostas Daniilidis, and Davide Scaramuzza · 2020
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Event-based angular velocity regression with spiking networks
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, and Davide Scaramuzza · 2020
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Cited alongside, same era.
HATS: Histograms of averaged time surfaces for robust event-based object classification
Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, and Ryad Benosman · 2018
Cited alongside, same era.
Graph-based object classification for neuromorphic vision sensing
Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, and Yiannis Andreopoulos · 2019
Cited alongside, same era.
Asynchronous convolutional networks for object detection in neuromorphic cameras
Marco Cannici, Marco Ciccone, Andrea Romanoni, and Matteo Matteucci · 2019
Cited alongside, same era.
End-to-end learning of representations for asynchronous event-based data
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, and Davide Scaramuzza · 2019
Cited alongside, same era.
Mixed frame-/event-driven fast pedestrian detection
Zhuangyi Jian, Pengfei Xia, Kai Huang, Walter Stechele, Guang Chen, Zhenshan Bing, and Alois Knoll · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Cited alongside, same era.
Event-based asynchronous sparse convolutional networks
Nico A. Messikommer, Daniel Gehrig, Antonio Loquercio, and Davide Scaramuzza · 2020
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Learning visual motion segmentation using event surfaces
Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermuller, and Yiannis Aloimonos · 2020
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Learning to detect objects with a 1 megapixel event camera
Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, and Amos Sironi · 2020
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Evdodgenet: Deep dynamic obstacle dodging with event cameras
Nitin Sanket, Chethan M. Parameshwara, Chahat Singh, Ashwin Varghese Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, and Yiannis Aloimonos · 2020
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Yolox: Exceeding yolo series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun · 2021
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Graph-based asynchronous event processing for rapid object recognition
Yijin Li, Han Zhou, Bangbang Yang, Ye Zhang, Zhaopeng Cui, Hujun Bao, and Guofeng Zhang · 2021
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Time lens: Event-based video frame interpolation
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, and Davide Scaramuzza · 2021
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Object detection with spiking neural networks on automotive event data
Loic Cordone, Benoit Miramond, and Philippe Thierion · 2022
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A voxel graph cnn for object classification with event cameras
Yongjian Deng, Hao Chen, Hai Liu, and Youfu Li · 2022
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Asynchronous spatio-temporal memory network for continuous event-based object detection
Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, and Yonghong Tian · 2022
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AEGNN: Asynchronous event-based graph neural networks
Simon Schaefer, Daniel Gehrig, and Davide Scaramuzza · 2022
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