Vision Transformers (ViTs) have shown impressive performance in computer...
Today, state-of-the-art deep neural networks that process events first
c...
Optical flow provides information on relative motion that is an importan...
Spiking Neural Networks (SNN) are a class of bio-inspired neural network...
We present Recurrent Vision Transformers (RVTs), a novel backbone for ob...
Because of their high temporal resolution, increased resilience to motio...
We present a method for estimating dense continuous-time optical flow.
T...
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
...
This paper presents a novel system for autonomous, vision-based drone ra...
Spiking Neural Networks (SNNs) are bio-inspired networks that process
in...
Event cameras are novel sensors that output brightness changes in the fo...
Event cameras are a promising candidate to enable high speed vision-base...
Event cameras are novel vision sensors that output pixel-level brightnes...
Autonomous micro aerial vehicles still struggle with fast and agile
mane...
We propose a novel scoring concept for visual place recognition based on...