Search Results for author: Mohammed Almatrafi

Found 4 papers, 2 papers with code

Time-Ordered Recent Event (TORE) Volumes for Event Cameras

1 code implementation • 10 Mar 2021 • R. Wes Baldwin, Ruixu Liu, Mohammed Almatrafi, Vijayan Asari, Keigo Hirakawa

Event cameras are an exciting, new sensor modality enabling high-speed imaging with extremely low-latency and wide dynamic range.

Blocking Denoising +2

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Distance Surface for Event-Based Optical Flow

no code implementations • 28 Mar 2020 • Mohammed Almatrafi, Raymond Baldwin, Kiyoharu Aizawa, Keigo Hirakawa

We propose DistSurf-OF, a novel optical flow method for neuromorphic cameras.

Event-based Optical Flow Event Detection +1

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Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras

1 code implementation • CVPR 2020 • R. Wes Baldwin, Mohammed Almatrafi, Vijayan Asari, Keigo Hirakawa

We provide the first dataset (DVSNOISE20) of real-world labeled neuromorphic camera events for noise removal.

Benchmarking Denoising

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Code

Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras

no code implementations • 26 Feb 2020 • R. Wes Baldwin, Mohammed Almatrafi, Jason R Kaufman, Vijayan Asari, Keigo Hirakawa

This paper presents a novel fusion of low-level approaches for dimensionality reduction into an effective approach for high-level objects in neuromorphic camera data called Inceptive Event Time-Surfaces (IETS).

Classification Dimensionality Reduction +3

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