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- Technische Universität BerlinDE49 papers
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- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Einstein Center for Neurosciences BerlinDE3 papers
- ETH ZurichCH3 papers
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11 papers · 1 filter
Using Microbenchmark Suites to Detect Application Performance Changes
Martin Grambow, Denis Kovalev, Christoph Laaber +2
Software performance changes are costly and often hard to detect pre-release. Similar to software testing frameworks, either application benchmarks or microbenchmarks can be integr…
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Event cameras are emerging vision sensors and their advantages are suitable for various applications such as autonomous robots. Contrast maximization (CMax), which provides state-o…
MedalCare-XL: 16,900 healthy and pathological 12 lead ECGs obtained through electrophysiological simulations
Karli Gillette, Matthias A. F. Gsell, Claudia Nagel +8
Mechanistic cardiac electrophysiology models allow for personalized simulations of the electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface.…
Secrets of Event-Based Optical Flow
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Event cameras respond to scene dynamics and offer advantages to estimate motion. Following recent image-based deep-learning achievements, optical flow estimation methods for event…
Event Collapse in Contrast Maximization Frameworks
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Contrast maximization (CMax) is a framework that provides state-of-the-art results on several event-based computer vision tasks, such as ego-motion or optical flow estimation. Howe…
Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion
Suman Ghosh, Guillermo Gallego
Event cameras are bio-inspired sensors that offer advantages over traditional cameras. They operate asynchronously, sampling the scene at microsecond resolution and producing a str…