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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...
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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 ...
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12/21/2020
Building LEGO Using Deep Generative Models of Graphs
Generative models are now used to create a variety of high-quality digit...
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07/30/2020
Instance Selection for GANs
Recent advances in Generative Adversarial Networks (GANs) have led to th...
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04/02/2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
We consider the problem of distance metric learning (DML), where the tas...
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07/11/2019
On the Evaluation of Conditional GANs
Conditional Generative Adversarial Networks (cGANs) are finding increasi...
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06/06/2019
Does Object Recognition Work for Everyone?
The paper analyzes the accuracy of publicly available object-recognition...
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07/02/2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
The use of deep learning for medical imaging has seen tremendous growth ...
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02/13/2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Modern neural networks are very powerful predictive models, but they are...
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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 ...
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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...
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02/17/2017