Event-based sensors have recently drawn increasing interest in robotic
p...
3D reconstruction from multiple views is a successful computer vision fi...
The abrupt outbreak of the COVID-19 pandemic was the most significant ev...
Cross-lingual text classification aims at training a classifier on the s...
Traditional motion planning is computationally burdensome for practical
...
Single-view 3D object reconstruction is a challenging fundamental proble...
We address the problem of generating a high-resolution surface reconstru...
Event cameras provide a number of benefits over traditional cameras, suc...
In this work, we focus on using convolution neural networks (CNN) to per...
People ask questions that are far richer, more informative, and more cre...
We present work flows and a software module for machine learning model
b...
In this work, we propose a novel transformation for events from an event...
In this work, we propose a method that combines unsupervised deep learni...
We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
Modeling hypernymy, such as poodle is-a dog, is an important generalizat...
Neural models have recently been used in text summarization including
he...