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Friedhelm Hamann

3 accepted papers

2025

ETAP: Event-based Tracking of Any Point

CVPR 2025highlight

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 image contexts. However, while research has mostly focused on driving the accuracy of models in nominal settings, addressi…

2025

Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras

ICCV 2025poster

Event cameras rely on motion to obtain information about scene appearance. This means that appearance and motion are inherently linked: either both are present and recorded in the event data, or neither is captured. Previous works treat the recovery of these two visual quantities as separate tasks,…

2024

Low-power Continuous Remote Behavioral Localization with Event Cameras

CVPR 2024poster

Researchers in natural science need reliable methods for quantifying animal behavior. Recently numerous computer vision methods emerged to automate the process. However observing wild species at remote locations remains a challenging task due to difficult lighting conditions and constraints on power…