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Found 5 papers, 1 papers with code
Real-Time Event-Based Tracking and Detection for Maritime Environments
Event cameras are ideal for object tracking applications due to their ability to capture fast-moving objects while mitigating latency and data redundancy.
Image denoising with generalized Gaussian mixture model patch priors
In this paper, we show that a generalized Gaussian mixture model (GGMM) captures the underlying distribution of patches better than a GMM.
Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100$\times$ speed-up
Image restoration methods aim to recover the underlying clean image from corrupted observations.
Large Margin Multi-Task Metric Learning
Multi-task learning (MTL) improves the prediction performance on multiple, different but related, learning problems through shared parameters or representations.
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)
Traditional metrics for evaluating the efficacy of image processing techniques do not lend themselves to understanding the capabilities and limitations of modern image processing methods - particularly those enabled by deep learning.
