6 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 6 cited
A low-power end-to-end hybrid neuromorphic framework for surveillance applications
Andres Ussa, Luca Della Vedova, Vandana Reddy Padala +6
With the success of deep learning, object recognition systems that can be deployed for real-world applications are becoming commonplace. However, inference that needs to largely ta…
cs.CV2019★ 3 cited
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras
Bharath Ramesh, Andres Ussa, Luca Della Vedova +2
We present the first purely event-based, energy-efficient approach for object detection and categorization using an event camera. Compared to traditional frame-based cameras, choos…