research
∙
04/14/2023
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
Event-based sensors have recently drawn increasing interest in robotic p...
share
research
∙
04/11/2023
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual Hulls
3D reconstruction from multiple views is a successful computer vision fi...
research
∙
10/01/2021
Improving Load Forecast in Energy Markets During COVID-19
The abrupt outbreak of the COVID-19 pandemic was the most significant ev...
research
∙
05/24/2021
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
Cross-lingual text classification aims at training a classifier on the s...
research
∙
10/27/2020
Learning to Generate Cost-to-Go Functions for Efficient Motion Planning
Traditional motion planning is computationally burdensome for practical ...
research
∙
06/14/2020
Geodesic-HOF: 3D Reconstruction Without Cutting Corners
Single-view 3D object reconstruction is a challenging fundamental proble...
research
∙
12/18/2019
Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks
We address the problem of generating a high-resolution surface reconstru...
research
∙
12/03/2019
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
Event cameras provide a number of benefits over traditional cameras, suc...
research
∙
11/28/2019
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform
In this work, we focus on using convolution neural networks (CNN) to per...
research
∙
07/23/2019
Modeling question asking using neural program generation
People ask questions that are far richer, more informative, and more cre...
research
∙
04/01/2019
An Atomistic Machine Learning Package for Surface Science and Catalysis
We present work flows and a software module for machine learning model b...
research
∙
02/18/2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform
In this work, we propose a novel transformation for events from an event...
research
∙
12/20/2018
Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion
In this work, we propose a method that combines unsupervised deep learni...
research
∙
10/24/2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
research
∙
10/02/2017
Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding
Modeling hypernymy, such as poodle is-a dog, is an important generalizat...
research
∙
08/20/2016
