Ari Seff | DeepAI

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∙ 09/29/2021

Vitruvion: A Generative Model of Parametric CAD Sketches

Parametric computer-aided design (CAD) tools are the predominant way tha...

9 Ari Seff, et al. ∙

∙ 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...

26 Ari Seff, et al. ∙

∙ 07/18/2019

Discrete Object Generation with Reversible Inductive Construction

The success of generative modeling in continuous domains has led to a su...

3 Ari Seff, et al. ∙

∙ 05/23/2017

Continual Learning in Generative Adversarial Nets

Developments in deep generative models have allowed for tractable learni...

0 Ari Seff, et al. ∙

∙ 11/25/2016

Learning from Maps: Visual Common Sense for Autonomous Driving

Today's autonomous vehicles rely extensively on high-definition 3D maps ...

0 Ari Seff, et al. ∙

∙ 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...

0 Fisher Yu, et al. ∙

∙ 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...

0 Holger R. Roth, et al. ∙

∙ 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...

0 Hoo-chang Shin, et al. ∙

∙ 05/01/2015

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

Today, there are two major paradigms for vision-based autonomous driving...

0 Chenyi Chen, et al. ∙

∙ 04/15/2015

Anatomy-specific classification of medical images using deep convolutional nets

Automated classification of human anatomy is an important prerequisite f...

0 Holger R. Roth, et al. ∙

∙ 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 ...

0 Ari Seff, et al. ∙

∙ 06/06/2014

A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations

Automated Lymph Node (LN) detection is an important clinical diagnostic ...

0 Holger R. Roth, et al. ∙

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