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06/20/2023
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis
The advent of data-driven technology solutions is accompanied by an incr...
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04/11/2023
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies
Despite impressive advances in object-recognition, deep learning systems...
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03/08/2023
The Casual Conversations v2 Dataset
This paper introduces a new large consent-driven dataset aimed at assist...
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12/09/2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Machine learning models have been found to learn shortcuts – unintended ...
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11/10/2022
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
Developing robust and fair AI systems require datasets with comprehensiv...
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11/03/2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
Deep learning vision systems are widely deployed across applications whe...
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03/31/2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Our work focuses on addressing sample deficiency from low-density region...
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02/15/2022
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
Does everyone equally benefit from computer vision systems? Answers to t...
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11/18/2021
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions
It is well known that many machine learning systems demonstrate bias tow...
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06/17/2021
Localized Uncertainty Attacks
The susceptibility of deep learning models to adversarial perturbations ...
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04/06/2021
Towards measuring fairness in AI: the Casual Conversations dataset
This paper introduces a novel dataset to help researchers evaluate their...
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01/19/2018
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
The finding that very large networks can be trained efficiently and reli...
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04/11/2017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
While variational methods have been among the most powerful tools for so...
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04/04/2017
Deep Depth From Focus
Depth from Focus (DFF) is one of the classical ill-posed inverse problem...
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11/23/2016
Image-based localization using LSTMs for structured feature correlation
In this work we propose a new CNN+LSTM architecture for camera pose regr...
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04/26/2015