27 citations · 36 across the 6 of their papers we have counts for
4 papers · 1 filter
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 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…
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…
Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks
Joseph L. Betthauser, John T. Krall, Rahul R. Kaliki +2
Transient muscle movements influence the temporal structure of myoelectric signal patterns, often leading to unstable prediction behavior from movement-pattern classification metho…