Deep learning for event-based vision: A comprehensive survey and benchmarks
Event cameras are bio-inspired sensors that capture the per-pixel intensity changes
asynchronously and produce event streams encoding the time, pixel position, and polarity …
asynchronously and produce event streams encoding the time, pixel position, and polarity …
State of the art in vision-based localization techniques for autonomous navigation systems
Y Alkendi, L Seneviratne, Y Zweiri - IEEE Access, 2021 - ieeexplore.ieee.org
Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …
(VIO), have attracted great attention recently. They are regarded as critical modules for …
Event-based fusion for motion deblurring with cross-modal attention
Traditional frame-based cameras inevitably suffer from motion blur due to long exposure
times. As a kind of bio-inspired camera, the event camera records the intensity changes in …
times. As a kind of bio-inspired camera, the event camera records the intensity changes in …
Motion deblurring with real events
In this paper, we propose an end-to-end learning framework for event-based motion
deblurring in a self-supervised manner, where real-world events are exploited to alleviate …
deblurring in a self-supervised manner, where real-world events are exploited to alleviate …
Low cost and latency event camera background activity denoising
S Guo, T Delbruck - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
Dynamic Vision Sensor (DVS) event camera output includes uninformative background
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …
Time-ordered recent event (tore) volumes for event cameras
Event cameras are an exciting, new sensor modality enabling high-speed imaging with
extremely low-latency and wide dynamic range. Unfortunately, most machine learning …
extremely low-latency and wide dynamic range. Unfortunately, most machine learning …
Evdistill: Asynchronous events to end-task learning via bidirectional reconstruction-guided cross-modal knowledge distillation
Event cameras sense per-pixel intensity changes and produce asynchronous event streams
with high dynamic range and less motion blur, showing advantages over the conventional …
with high dynamic range and less motion blur, showing advantages over the conventional …
Deblurring low-light images with events
Modern image-based deblurring methods usually show degenerate performance in low-light
conditions since the images often contain most of the poorly visible dark regions and a few …
conditions since the images often contain most of the poorly visible dark regions and a few …
Neuspike-net: High speed video reconstruction via bio-inspired neuromorphic cameras
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that emerged in recent
years, which continuously sensing luminance intensity and firing asynchronous spikes …
years, which continuously sensing luminance intensity and firing asynchronous spikes …
Ev-nerf: Event based neural radiance field
Abstract We present Ev-NeRF, a Neural Radiance Field derived from event data. While
event cameras can measure subtle brightness changes in high frame rates, the …
event cameras can measure subtle brightness changes in high frame rates, the …