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

44 citations · 44 across the 3 of their papers we have counts for

collaborators

5 papers

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

Lossless White Balance For Improved Lossless CFA Image and Video Compression

Yeejin Lee, Keigo Hirakawa

Color filter array is spatial multiplexing of pixel-sized filters placed over pixel detectors in camera sensors. The state-of-the-art lossless coding techniques of raw sensor data…

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

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.NE202044 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…