相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts
Yi Zhou et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns
Qiang Yu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
Chethan M. Parameshwara et al.
2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2021)
High-speed Image Reconstruction through Short-term Plasticity for Spiking Cameras
Yajing Zheng et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
v2e: From Video Frames to Realistic DVS Events
Yuhuang Hu et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021 (2021)
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
Federico Paredes-Valles et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning
Rong Xiao et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging
Zihao W. Wang et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
An Efficient Coding Method for Spike Camera using Inter-Spike Intervals
Siwei Dong et al.
2019 DATA COMPRESSION CONFERENCE (DCC) (2019)
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
Anton Mitrokhin et al.
2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2019)
Event-Based Motion Segmentation by Motion Compensation
Timo Stoffregen et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
A RETINA-INSPIRED SAMPLING METHOD FOR VISUAL TEXTURE RECONSTRUCTION
Lin Zhu et al.
2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME) (2019)
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Mike Davies et al.
IEEE MICRO (2018)
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
Friedemann Zenke et al.
NEURAL COMPUTATION (2018)
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation
Guillermo Gallego et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
ECO: Efficient Convolution Operators for Tracking
Martin Danelljan et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
A Spiking Neural Network System for Robust Sequence Recognition
Qiang Yu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
Evaluation of Event-Based Algorithms for Optical Flow with Ground-Truth from Inertial Measurement Sensor
Bodo Rueckauer et al.
FRONTIERS IN NEUROSCIENCE (2016)
Training Deep Spiking Neural Networks Using Backpropagation
Jun Haeng Lee et al.
FRONTIERS IN NEUROSCIENCE (2016)
True North: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
Filipp Akopyan et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2015)
Visual Tracking Using Neuromorphic Asynchronous Event-Based Cameras
Zhenjiang Ni et al.
NEURAL COMPUTATION (2015)
Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking
Xavier Lagorce et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)
An Asynchronous Neuromorphic Event-Driven Visual Part-Based Shape Tracking
David Reverter Valeiras et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)
A 240 x 180 130 dB 3 μs Latency Global Shutter Spatiotemporal Vision Sensor
Christian Brandli et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2014)
Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits
Rui P. Costa et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2013)
Robotic goalie with 3 ms reaction time at 4% CPU load using event-based dynamic vision sensor
Tobi Delbruck et al.
FRONTIERS IN NEUROSCIENCE (2013)
Asynchronous event-based high speed vision for microparticle tracking
Z. Ni et al.
JOURNAL OF MICROSCOPY (2012)
Toward real-time particle tracking using an event-based dynamic vision sensor
David Drazen et al.
EXPERIMENTS IN FLUIDS (2011)
A 128x128 120 dB 15 μs latency asynchronous temporal contrast vision sensor
Patrick Lichtsteiner et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2008)
Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
Keni Bernardin et al.
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING (2008)
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
S Song et al.
NATURE NEUROSCIENCE (2000)
分享论文
