research
∙
09/29/2021
Vitruvion: A Generative Model of Parametric CAD Sketches
Parametric computer-aided design (CAD) tools are the predominant way tha...
share
research
∙
07/16/2020
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
Parametric computer-aided design (CAD) is the dominant paradigm in mecha...
research
∙
07/18/2019
Discrete Object Generation with Reversible Inductive Construction
The success of generative modeling in continuous domains has led to a su...
research
∙
05/23/2017
Continual Learning in Generative Adversarial Nets
Developments in deep generative models have allowed for tractable learni...
research
∙
11/25/2016
Learning from Maps: Visual Common Sense for Autonomous Driving
Today's autonomous vehicles rely extensively on high-definition 3D maps ...
research
∙
06/10/2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
While there has been remarkable progress in the performance of visual re...
research
∙
05/12/2015
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
Automated computer-aided detection (CADe) in medical imaging has been an...
research
∙
05/04/2015
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
Despite tremendous progress in computer vision, there has not been an at...
research
∙
05/01/2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Today, there are two major paradigms for vision-based autonomous driving...
research
∙
04/15/2015
Anatomy-specific classification of medical images using deep convolutional nets
Automated classification of human anatomy is an important prerequisite f...
research
∙
08/14/2014
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers
Enlarged lymph nodes (LNs) can provide important information for cancer ...
research
∙
06/06/2014