Back to event basics: Self-supervised learning of image reconstruction for event cameras via photometric constancy
F Paredes-Vallés… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Event cameras are novel vision sensors that sample, in an asynchronous fashion,
brightness increments with low latency and high temporal resolution. The resulting streams …
brightness increments with low latency and high temporal resolution. The resulting streams …
Event-based frame interpolation with ad-hoc deblurring
The performance of video frame interpolation is inherently correlated with the ability to
handle motion in the input scene. Even though previous works recognize the utility of …
handle motion in the input scene. Even though previous works recognize the utility of …
Eventnerf: Neural radiance fields from a single colour event camera
Asynchronously operating event cameras find many applications due to their high dynamic
range, vanishingly low motion blur, low latency and low data bandwidth. The field saw …
range, vanishingly low motion blur, low latency and low data bandwidth. The field saw …
Differentiable hierarchical and surrogate gradient search for spiking neural networks
Spiking neural network (SNN) has been viewed as a potential candidate for the next
generation of artificial intelligence with appealing characteristics such as sparse …
generation of artificial intelligence with appealing characteristics such as sparse …
State space models for event cameras
Today state-of-the-art deep neural networks that process event-camera data first convert a
temporal window of events into dense grid-like input representations. As such they exhibit …
temporal window of events into dense grid-like input representations. As such they exhibit …
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 …
Rpeflow: Multimodal fusion of rgb-pointcloud-event for joint optical flow and scene flow estimation
Recently, the RGB images and point clouds fusion methods have been proposed to jointly
estimate 2D optical flow and 3D scene flow. However, as both conventional RGB cameras …
estimate 2D optical flow and 3D scene flow. However, as both conventional RGB cameras …
Visevent: Reliable object tracking via collaboration of frame and event flows
Different from visible cameras which record intensity images frame by frame, the biologically
inspired event camera produces a stream of asynchronous and sparse events with much …
inspired event camera produces a stream of asynchronous and sparse events with much …
Event-based asynchronous sparse convolutional networks
N Messikommer, D Gehrig, A Loquercio… - Computer Vision–ECCV …, 2020 - Springer
Event cameras are bio-inspired sensors that respond to per-pixel brightness changes in the
form of asynchronous and sparse “events”. Recently, pattern recognition algorithms, such as …
form of asynchronous and sparse “events”. Recently, pattern recognition algorithms, such as …
Sparser spiking activity can be better: Feature refine-and-mask spiking neural network for event-based visual recognition
Event-based visual, a new visual paradigm with bio-inspired dynamic perception and μ s
level temporal resolution, has prominent advantages in many specific visual scenarios and …
level temporal resolution, has prominent advantages in many specific visual scenarios and …