36 citations · 84 across the 9 of their papers we have counts for
4 papers · 1 filter
ETAP: Event-based Tracking of Any Point
Friedhelm Hamann, Daniel Gehrig, Filbert Febryanto +2
Tracking any point (TAP) recently shifted the motion estimation paradigm from focusing on individual salient points with local templates to tracking arbitrary points with global im…
Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Cameras
Friedhelm Hamann, Suman Ghosh, Ignacio Juarez Martinez +3
Event cameras are novel bio-inspired vision sensors that measure pixel-wise brightness changes asynchronously instead of images at a given frame rate. They offer promising advantag…
MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Mice
Friedhelm Hamann, Hanxiong Li, Paul Mieske +2
Enabled by large annotated datasets, tracking and segmentation of objects in videos has made remarkable progress in recent years. Despite these advancements, algorithms still strug…
Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation
Friedhelm Hamann, Ziyun Wang, Ioannis Asmanis +3
Current optical flow and point-tracking methods rely heavily on synthetic datasets. Event cameras are novel vision sensors with advantages in challenging visual conditions, but sta…