Visual Odometry (VO) is crucial for autonomous robotic navigation, espec...
Event cameras triggered a paradigm shift in the computer vision communit...
Today, state-of-the-art deep neural networks that process events first
c...
Quadrupedal robots are conquering various indoor and outdoor application...
Spiking Neural Networks (SNN) are a class of bio-inspired neural network...
State-of-the-art machine-learning methods for event cameras treat events...
Due to their resilience to motion blur and high robustness in low-light ...
Recently, video frame interpolation using a combination of frame- and
ev...
The best performing learning algorithms devised for event cameras work b...
Due to their outstanding properties in challenging conditions, event cam...
Retrieving accurate semantic information in challenging high dynamic ran...
Modern high dynamic range (HDR) imaging pipelines align and fuse multipl...
Event cameras are novel sensors with outstanding properties such as high...
We propose to incorporate feature correlation and sequential processing ...
State-of-the-art frame interpolation methods generate intermediate frame...
We propose a generic event camera calibration framework using image
reco...
Once an academic venture, autonomous driving has received unparalleled
c...
Event cameras are novel vision sensors that report per-pixel brightness
...
Event cameras are novel sensors that output brightness changes in the fo...
Event cameras are bio-inspired sensors that respond to per-pixel brightn...
Event cameras are novel sensors that output brightness changes in the fo...
Event cameras are vision sensors that record asynchronous streams of
per...
We present a method that leverages the complementarity of event cameras ...