78 citations · 185 across the 9 of their papers we have counts for
3 papers · 1 filter
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing
Florian Dubost, Erin Hong, Nandita Bhaskhar +3
Labeled data is a critical resource for training and evaluating machine learning models. However, many real-life datasets are only partially labeled. We propose a semi-supervised m…
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
Rohan Ghosh, Siyi Tang, Mahdi Rasouli +2
Neuromorphic image sensors produce activity-driven spiking output at every pixel. These low-power consuming imagers which encode visual change information in the form of spikes hel…
Spatiotemporal Feature Learning for Event-Based Vision
Rohan Ghosh, Anupam Gupta, Siyi Tang +2
Unlike conventional frame-based sensors, event-based visual sensors output information through spikes at a high temporal resolution. By only encoding changes in pixel intensity, th…