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Found 7 papers, 2 papers with code
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events
EventZoom is trained in a noise-to-noise fashion where the two ends of the network are unfiltered noisy events, enforcing noise-free event restoration.
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices
The detection and tracking of objects in the scene are done on the distorted data at the host.
E3D: Event-Based 3D Shape Reconstruction
We first introduce an event-to-silhouette (E2S) neural network module to transform a stack of event frames to the corresponding silhouettes, with additional neural branches for camera pose regression.
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging
The filtered output represents the temporal gradient of the captured space-time volume, which can be viewed as motion-compensated event frames with high resolution and low noise.
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling
The histograms are then variably sampled via Poisson Disk Sampling prioritized by the QT based segmentation map.
Event-driven Video Frame Synthesis
Temporal Video Frame Synthesis (TVFS) aims at synthesizing novel frames at timestamps different from existing frames, which has wide applications in video codec, editing and analysis.
Privacy-Preserving Action Recognition using Coded Aperture Videos
We propose a lens-free coded aperture camera system for human action recognition that is privacy-preserving.
