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20172021
most citedCOVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches

83 citations · 191 across the 10 of their papers we have counts for

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13 papers · 1 filter

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…

cs.CV20212 cited

Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions

Ruixu Liu, Ju Shen, He Wang +3

The attention mechanism provides a sequential prediction framework for learning spatial models with enhanced implicit temporal consistency. In this work, we show a systematic desig…

cs.CV2020

High Order Local Directional Pattern Based Pyramidal Multi-structure for Robust Face Recognition

Almabrok Essa, Vijayan Asari

Derived from a general definition of texture in a local neighborhood, local directional pattern (LDP) encodes the directional information in the small local 3x3 neighborhood of a p…

cs.CV20206 cited

Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature Layers

Nina Varney, Vijayan K. Asari, Quinn Graehling

We present a method to learn a diverse group of object categories from an unordered point set. We propose our Pyramid Point network, which uses a dense pyramid structure instead of…

cs.CV2020

DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation

Nina Varney, Vijayan K. Asari, Quinn Graehling

We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over a half-billion hand-labeled points spanning 10 square kilometer…

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…