activity
20202023
most citedInceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras

44 citations · 48 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023

Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging

R. Wes Baldwin, Vijayan Asari, Keigo Hirakawa

We present a novel Fourier camera, an in-hardware optical compression of high-speed frames employing pixel-level sign-coded exposure where pixel intensities temporally modulated as…

cs.CV2021

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

R. Wes Baldwin, Ruixu Liu, Mohammed Almatrafi +2

Event cameras are an exciting, new sensor modality enabling high-speed imaging with extremely low-latency and wide dynamic range. Unfortunately, most machine learning architectures…

eess.IV2020

Distance Surface for Event-Based Optical Flow

Mohammed Almatrafi, Raymond Baldwin, Kiyoharu Aizawa +1

We propose DistSurf-OF, a novel optical flow method for neuromorphic cameras. Neuromorphic cameras (or event detection cameras) are an emerging sensor modality that makes use of dy…

cs.CV2020★ 4 cited

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

R. Wes Baldwin, Mohammed Almatrafi, Vijayan Asari +1

This paper presents a novel method for labeling real-world neuromorphic camera sensor data by calculating the likelihood of generating an event at each pixel within a short time wi…

cs.NE2020★ 44 cited

Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras

R Wes Baldwin, Mohammed Almatrafi, Jason R Kaufman +2

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 Incepti…