335 citations · 1.2k across the 81 of their papers we have counts for
10 papers · 1 filter
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks
Amil Dravid, Aggelos K. Katsaggelos
Lack of explainability in artificial intelligence, specifically deep neural networks, remains a bottleneck for implementing models in practice. Popular techniques such as Gradient-…
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…
Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization
Prasan Shedligeri, Florian Schiffers, Semih Barutcu +3
X-ray ptychography is one of the versatile techniques for nanometer resolution imaging. The magnitude of the diffraction patterns is recorded on a detector and the phase of the dif…
Reinforcement Learning for Adaptive Video Compressive Sensing
Sidi Lu, Xin Yuan, Aggelos K Katsaggelos +1
We apply reinforcement learning to video compressive sensing to adapt the compression ratio. Specifically, video snapshot compressive imaging (SCI), which captures high-speed video…
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…
Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications
Xin Yuan, David J. Brady, Aggelos K. Katsaggelos
Capturing high-dimensional (HD) data is a long-term challenge in signal processing and related fields. Snapshot compressive imaging (SCI) uses a two-dimensional (2D) detector to ca…
Adaptive Illumination based Depth Sensing using Deep Superpixel and Soft Sampling Approximation
Qiqin Dai, Fengqiang Li, Oliver Cossairt +1
Dense depth map capture is challenging in existing active sparse illumination based depth acquisition techniques, such as LiDAR. Various techniques have been proposed to estimate a…
Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning
S Soni, C P L Berry, S B Coughlin +18
The observation of gravitational waves is hindered by the presence of transient noise (glitches). We study data from the third observing run of the Advanced LIGO detectors, and ide…
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…
SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
Merlin A. Nau, Florian Schiffers, Yunhao Li +7
The utilization of computational photography becomes increasingly essential in the medical field. Today, imaging techniques for dermatology range from two-dimensional (2D) color im…