161 citations · 170 across the 2 of their papers we have counts for
5 papers
TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models
Martin Maritsch, Timo Stoffregen, Thomas Kaar +36
Temporal Foundation Models (TFMs) aim to generalize across domains, datasets, and tasks. Yet, their development remains constrained by fragmented, task-specific data formats, annot…
Reducing the Sim-to-Real Gap for Event Cameras
Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza +4
Event cameras are paradigm-shifting novel sensors that report asynchronous, per-pixel brightness changes called 'events' with unparalleled low latency. This makes them ideal for hi…
CED: Color Event Camera Dataset
Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen +3
Event cameras are novel, bio-inspired visual sensors, whose pixels output asynchronous and independent timestamped spikes at local intensity changes, called 'events'. Event cameras…
Event-Based Motion Segmentation by Motion Compensation
Timo Stoffregen, Guillermo Gallego, Tom Drummond +2
In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously…
Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor
Timo Stoffregen, Lindsay Kleeman
We present an algorithm (SOFAS) to estimate the optical flow of events generated by a dynamic vision sensor (DVS). Where traditional cameras produce frames at a fixed rate, DVSs pr…