27 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.CV2019
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…
cs.CV2019★ 27 cited
Spatiotemporal Filtering for Event-Based Action Recognition
Rohan Ghosh, Anupam Gupta, Andrei Nakagawa +2
In this paper, we address the challenging problem of action recognition, using event-based cameras. To recognise most gestural actions, often higher temporal precision is required…
cs.CV2019★ 3 cited
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…