Terrance DeVries | DeepAI

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∙ 04/01/2021

Unconstrained Scene Generation with Locally Conditioned Radiance Fields

We tackle the challenge of learning a distribution over complex, realist...

0 Terrance DeVries, et al. ∙

∙ 03/31/2021

The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation

We consider the task of semi-supervised semantic segmentation, where we ...

10 Eu Wern Teh, et al. ∙

∙ 12/21/2020

Building LEGO Using Deep Generative Models of Graphs

Generative models are now used to create a variety of high-quality digit...

0 Rylee Thompson, et al. ∙

∙ 07/30/2020

Instance Selection for GANs

Recent advances in Generative Adversarial Networks (GANs) have led to th...

0 Terrance DeVries, et al. ∙

∙ 04/02/2020

ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis

We consider the problem of distance metric learning (DML), where the tas...

0 Eu Wern Teh, et al. ∙

∙ 07/11/2019

On the Evaluation of Conditional GANs

Conditional Generative Adversarial Networks (cGANs) are finding increasi...

8 Terrance DeVries, et al. ∙

∙ 06/06/2019

Does Object Recognition Work for Everyone?

The paper analyzes the accuracy of publicly available object-recognition...

0 Terrance DeVries, et al. ∙

∙ 07/02/2018

Leveraging Uncertainty Estimates for Predicting Segmentation Quality

The use of deep learning for medical imaging has seen tremendous growth ...

4 Terrance DeVries, et al. ∙

∙ 02/13/2018

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Modern neural networks are very powerful predictive models, but they are...

0 Terrance DeVries, et al. ∙

∙ 03/09/2017

LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network

We present a method for skin lesion segmentation for the ISIC 2017 Skin ...

0 Dhanesh Ramachandram, et al. ∙

∙ 03/04/2017

Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks

We present a deep learning approach to the ISIC 2017 Skin Lesion Classif...

0 Terrance DeVries, et al. ∙

∙ 02/17/2017

Dataset Augmentation in Feature Space

Dataset augmentation, the practice of applying a wide array of domain-sp...

0 Terrance DeVries, et al. ∙

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