2.3k citations
- Technische Universität BerlinDE49 papers
- Keio UniversityJP4 papers
- University of ZurichCH4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Einstein Center for Neurosciences BerlinDE3 papers
- ETH ZurichCH3 papers
- Excellence Cluster UniverseDE3 papers
- Hong Kong University of Science and TechnologyHK3 papers
- Innovation Cluster (Canada)CA3 papers
- Karlsruhe Institute of TechnologyDE3 papers
- University of PennsylvaniaUS3 papers
- Aarhus UniversityDK2 papers
19 papers · 1 filter
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…
ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras
Junkai Niu, Sheng Zhong, Xiuyuan Lu +3
Event-based visual odometry is a specific branch of visual Simultaneous Localization and Mapping (SLAM) techniques, which aims at solving tracking and mapping subproblems (typicall…
Event-based Mosaicing Bundle Adjustment
Shuang Guo, Guillermo Gallego
We tackle the problem of mosaicing bundle adjustment (i.e., simultaneous refinement of camera orientations and scene map) for a purely rotating event camera. We formulate the probl…
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…
Real-time Noise Source Estimation of a Camera System from an Image and Metadata
Maik Wischow, Patrick Irmisch, Anko Boerner +1
Autonomous machines must self-maintain proper functionality to ensure the safety of humans and themselves. This pertains particularly to its cameras as predominant sensors to perce…