1
DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization
2
Event-based Video Reconstruction Using Transformer
3
StereoSpike: Depth Learning With a Spiking Neural Network
4
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
5
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
6
High-speed Image Reconstruction through Short-term Plasticity for Spiking Cameras
7
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
8
Event-based Synthetic Aperture Imaging with a Hybrid Network
9
A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition
10
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
11
Going Deeper With Directly-Trained Larger Spiking Neural Networks
12
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
13
Integrating Non-spiking Interneurons in Spiking Neural Networks
14
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
15
Retina-Like Visual Image Reconstruction via Spiking Neural Model
16
Reducing the Sim-to-Real Gap for Event Cameras
17
Event-Based Angular Velocity Regression with Spiking Networks
18
Fast Image Reconstruction with an Event Camera
19
PyTorch: An Imperative Style, High-Performance Deep Learning Library
20
A Retina-Inspired Sampling Method for Visual Texture Reconstruction
21
High Speed and High Dynamic Range Video with an Event Camera
22
Events-To-Video: Bringing Modern Computer Vision to Event Cameras
23
Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures
24
Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks
25
Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion
26
Asynchronous Spatial Image Convolutions for Event Cameras
27
Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
28
Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks
29
Continuous-time Intensity Estimation Using Event Cameras
30
ESIM: an Open Event Camera Simulator
31
SLAYER: Spike Layer Error Reassignment in Time
32
Learning Blind Video Temporal Consistency
33
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
34
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
35
The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
36
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
37
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
38
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
39
Spiking Optical Flow for Event-Based Sensors Using IBM's TrueNorth Neurosynaptic System
40
A Low Power, Fully Event-Based Gesture Recognition System
41
Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks
42
EVO: A Geometric Approach to Event-Based 6-DOF Parallel Tracking and Mapping in Real Time
43
Simultaneous Optical Flow and Intensity Estimation from an Event Camera
44
The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM
45
Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera
46
Training Deep Spiking Neural Networks Using Backpropagation
47
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
48
HFirst: A Temporal Approach to Object Recognition
49
U-Net: Convolutional Networks for Biomedical Image Segmentation
50
ABOUT THE OTHER CONTRIBUTORS
51
Adam: A Method for Stochastic Optimization
52
Neuronal Dynamics: From Single Neurons To Networks And Models Of Cognition
53
A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor
54
A million spiking-neuron integrated circuit with a scalable communication network and interface
55
Microsoft COCO: Common Objects in Context
56
1.1 Computing's energy problem (and what we can do about it)
57
Span: Spike Pattern Association Neuron for Learning Spatio-Temporal Spike Patterns
58
Interacting maps for fast visual interpretation
59
Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
60
The tempotron: a neuron that learns spike timing–based decisions
61
Image quality assessment: from error visibility to structural similarity
62
Error-backpropagation in temporally encoded networks of spiking neurons
64
Backpropagation Through Time: What It Does and How to Do It
65
SPADE-E2VID: Spatially-Adaptive Denormalization for Event-Based Video Reconstruction
66
Spikeflownet: event-based optical flow estimation with energyefficient hybrid neural networks