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Event-based cameras have recently drawn the attention of the Computer Vision community thanks to their advantages in terms of high temporal resolution, low power consumption and high dynamic range, compared to traditional frame-based cameras.
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Elised—an event-based line segment detector
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Y. Hu, H. Liu, M. Pfeiffer, and T. Delbruck · 2016
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H. Kim, S. Leutenegger, and A. J. Davison · 2016
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ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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Y. Bengio, A. Courville, and P. Vincent · 2013
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J. Bruna and S. Mallat · 2013
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N. Kasabov, K. Dhoble, N. Nuntalid, and G. Indiveri · 2013
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P. O’Connor, D. Neil, S.-C. Liu, T. Delbruck, and M. Pfeiffer · 2013
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A 128 x 128 1.5% contrast sensitivity 0.9% fpn 3
T. Serrano-Gotarredona and B. Linares-Barranco · 2013
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Spatio-temporal spike pattern classification in neuromorphic systems
S. Sheik, M. Pfeiffer, F. Stefanini, and G. Indiveri · 2013
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J. H. Lee, T. Delbruck, and M. Pfeiffer · 2016
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H. Li, G. Li, and L. Shi · 2016
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H. Liu, D. P. Moeys, G. Das, D. Neil, S.-C. Liu, and T. Delbrück · 2016
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D. Martí, M. Rigotti, M. Seok, and S. Fusi · 2016
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D. Neil, M. Pfeiffer, and S.-C. Liu · 2016
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Phased lstm: Accelerating recurrent network training for long or event-based sequences
D. Neil, M. Pfeiffer, and S.-C. Liu · 2016
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YOLO9000: better, faster, stronger
J. Redmon and A. Farhadi · 2016
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Theory and tools for the conversion of analog to spiking convolutional neural networks
B. Rueckauer, I.-A. Lungu, Y. Hu, and M. Pfeiffer · 2016
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Event-based hough transform in a spiking neural network for multiple line detection and tracking using a dynamic vision sensor
S. Seifozzakerini, W.-Y. Yau, B. Zhao, and K. Mao · 2016
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Fast event-based harris corner detection exploiting the advantages of event-driven cameras
V. Vasco, A. Glover, and C. Bartolozzi · 2016
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A motion-based feature for event-based pattern recognition
X. Clady, J.-M. Maro, S. Barré, and R. B. Benosman · 2017
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Hots: a hierarchy of event-based time-surfaces for pattern recognition
X. Lagorce, G. Orchard, F. Galluppi, B. E. Shi, and R. B. Benosman · 2017
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Cifar10-dvs: An event-stream dataset for object classification
H. Li, H. Liu, X. Ji, G. Li, and L. Shi · 2017
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Fast event-based corner detection
E. Mueggler, C. Bartolozzi, and D. Scaramuzza · 2017
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The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and slam
E. Mueggler, H. Rebecq, G. Gallego, T. Delbruck, and D. Scaramuzza · 2017
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Bag of events: An efficient probability-based feature extraction method for aer image sensors
X. Peng, B. Zhao, R. Yan, H. Tang, and Z. Yi · 2017
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Evo: A geometric approach to event-based 6-dof parallel tracking and mapping in real time
H. Rebecq, T. Horstschaefer, G. Gallego, and D. Scaramuzza · 2017
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Fully convolutional networks for semantic segmentation
E. Shelhamer, J. Long, and T. Darrell · 2017
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An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data
E. Stromatias, M. Soto, T. Serrano-Gotarredona, and B. Linares-Barranco · 2017
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Holistically-nested edge detection
S. Xie and Z. Tu · 2017
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