Search Results for author:
Found 5 papers, 1 papers with code
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation
Finally, we evaluate the zero-shot generalization capabilities of the segmentation models on human ultrasound spinal cord images to determine whether training on our porcine dataset is sufficient for accurately interpreting human data.
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
Neuromorphic image sensors produce activity-driven spiking output at every pixel.
Spatiotemporal Filtering for Event-Based Action Recognition
In this work we introduce spatiotemporal filtering in the spike-event domain, as an alternative way of channeling spatiotemporal information through to a convolutional neural network.
Spatiotemporal Feature Learning for Event-Based Vision
Unlike conventional frame-based sensors, event-based visual sensors output information through spikes at a high temporal resolution.
HFirst: A Temporal Approach to Object Recognition
The asynchronous nature of these systems frees computation and communication from the rigid predetermined timing enforced by system clocks in conventional systems.
