Search Results for author:
Found 3 papers, 0 papers with code
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision
Event-based vision is an emerging research field involving processing data generated by Dynamic Vision Sensors (neuromorphic cameras).
Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras
Recent advances in event camera research emphasize processing data in its original sparse form, which allows the use of its unique features such as high temporal resolution, high dynamic range, low latency, and resistance to image blur.
Traffic sign detection and recognition using event camera image reconstruction
This paper presents a method for detection and recognition of traffic signs based on information extracted from an event camera.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
