67 citations · 73 across the 4 of their papers we have counts for
5 papers · 1 filter
Long-Lived Accurate Keypoints in Event Streams
Philippe Chiberre, Etienne Perot, Amos Sironi +1
We present a novel end-to-end approach to keypoint detection and tracking in an event stream that provides better precision and much longer keypoint tracks than previous methods. T…
Real-Time Face & Eye Tracking and Blink Detection using Event Cameras
Cian Ryan, Brian O Sullivan, Amr Elrasad +4
Event cameras contain emerging, neuromorphic vision sensors that capture local light intensity changes at each pixel, generating a stream of asynchronous events. This way of acquir…
Learning to Detect Objects with a 1 Megapixel Event Camera
Etienne Perot, Pierre de Tournemire, Davide Nitti +2
Event cameras encode visual information with high temporal precision, low data-rate, and high-dynamic range. Thanks to these characteristics, event cameras are particularly suited…
A Large Scale Event-based Detection Dataset for Automotive
Pierre de Tournemire, Davide Nitti, Etienne Perot +2
We introduce the first very large detection dataset for event cameras. The dataset is composed of more than 39 hours of automotive recordings acquired with a 304x240 ATIS sensor. I…
End-to-End Race Driving with Deep Reinforcement Learning
Maximilian Jaritz, Raoul de Charette, Marin Toromanoff +2
We present research using the latest reinforcement learning algorithm for end-to-end driving without any mediated perception (object recognition, scene understanding). The newly pr…