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03/09/2023
Probabilistic 3d regression with projected huber distribution
Estimating probability distributions which describe where an object is l...
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11/24/2022
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
Domain-specific variants of contrastive learning can construct positive ...
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02/23/2022
Are All Linear Regions Created Equal?
The number of linear regions has been studied as a proxy of complexity f...
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11/19/2021
Probabilistic Regression with Huber Distributions
In this paper we describe a probabilistic method for estimating the posi...
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03/17/2021
Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions
We study the impact of using rich and diverse textual descriptions of cl...
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06/16/2020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
Visual relationship detection is fundamental for holistic image understa...
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02/12/2016
Face Attribute Prediction Using Off-the-Shelf CNN Features
Predicting attributes from face images in the wild is a challenging comp...
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02/04/2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Predicting facial attributes from faces in the wild is very challenging ...
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12/20/2014
Visual Instance Retrieval with Deep Convolutional Networks
This paper provides an extensive study on the availability of image repr...
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11/24/2014
Persistent Evidence of Local Image Properties in Generic ConvNets
Supervised training of a convolutional network for object classification...
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06/22/2014