40 citations · 45 across the 9 of their papers we have counts for
9 papers
Event-based Shape from Polarization with Spiking Neural Networks
Peng Kang, Srutarshi Banerjee, Henry Chopp +2
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 geom…
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Peng Kang, Srutarshi Banerjee, Henry Chopp +2
Tactile sensing is essential for a variety of daily tasks. And recent advances in event-driven tactile sensors and Spiking Neural Networks (SNNs) spur the research in related field…
Event-Driven Tactile Learning with Location Spiking Neurons
Peng Kang, Srutarshi Banerjee, Henry Chopp +2
The sense of touch is essential for a variety of daily tasks. New advances in event-based tactile sensors and Spiking Neural Networks (SNNs) spur the research in event-driven tacti…
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings
Henry Chopp, Alicia McGeachy, Matthias Alfeld +3
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…
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices
Srutarshi Banerjee, Henry H. Chopp, Jianping Zhang +3
We present a novel adaptive multi-modal intensity-event algorithm to optimize an overall objective of object tracking under bit rate constraints for a host-chip architecture. The c…
Removing Blocking Artifacts in Video Streams Using Event Cameras
Henry H. Chopp, Srutarshi Banerjee, Oliver Cossairt +1
In this paper, we propose EveRestNet, a convolutional neural network designed to remove blocking artifacts in videostreams using events from neuromorphic sensors. We first degrade…
An Adaptive Video Acquisition Scheme for Object Tracking and its Performance Optimization
Srutarshi Banerjee, Henry H. Chopp, Juan G. Serra +3
We present a novel adaptive host-chip modular architecture for video acquisition to optimize an overall objective task constrained under a given bit rate. The chip is a high resolu…
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling
Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp +2
With several advantages over conventional RGB cameras, event cameras have provided new opportunities for tackling visual tasks under challenging scenarios with fast motion, high dy…
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
Qiqin Dai, Henry Chopp, Emeline Pouyet +3
This paper presents an adaptive image sampling algorithm based on Deep Learning (DL). The adaptive sampling mask generation network is jointly trained with an image inpainting netw…