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Found 14 papers, 6 papers with code
Event-based Shape from Polarization with Spiking Neural Networks
Recent advances in event-based shape determination from polarization offer a transformative approach that tackles the trade-off between speed and accuracy in capturing surface geometries.
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality.
Ranked #2 on
Stenosis Segmentation
on ARCADE
Thermal Spread Functions (TSF): Physics-guided Material Classification
Our key observation is that the rate of heating and cooling of an object depends on the unique intrinsic properties of the material, namely the emissivity and diffusivity.
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
In this way, we discover keypoints without requiring manual supervision in videos of humans and rats, demonstrating the potential of 3D keypoint discovery for studying behavior.
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Moreover, to demonstrate the representation effectiveness of our proposed neurons and capture the complex spatio-temporal dependencies in the event-driven tactile data, we exploit the location spiking neurons to propose two hybrid models for event-driven tactile learning.
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data?
The pigment identification results demonstrated that our model achieved comparable results to the analysis by elemental mapping, suggesting the generalizability and stability of our model.
Event-Driven Tactile Learning with Location Spiking Neurons
In this paper, to improve the representative capabilities of existing spiking neurons, we propose a novel neuron model called "location spiking neuron", which enables us to extract features of event-based data in a novel way.
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings
Macro x-ray fluorescence (XRF) imaging of cultural heritage objects, while a popular non-invasive technique for providing elemental distribution maps, is a slow acquisition process in acquiring high signal-to-noise ratio XRF volumes.
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.
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.
Global hard thresholding algorithms for joint sparse image representation and denoising
In this work we propose a new framework for joint sparse representation and recovery of all image patches simultaneously.
Separation of time scales and direct computation of weights in deep neural networks
We then show that for each layer, the distribution of solutions found by SGD can be estimated using a class-based principal component analysis (PCA) of the layer's input.
Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization
Symmetric Nonnegative Matrix Factorization (SNMF) models arise naturally as simple reformulations of many standard clustering algorithms including the popular spectral clustering method.
