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20172023
most citedLearning to Compose Domain-Specific Transformations for Data Augmentation

185 citations · 208 across the 10 of their papers we have counts for

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5 papers · 1 filter

stat.ML2017★ 185 cited

Learning to Compose Domain-Specific Transformations for Data Augmentation

Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain +2

Data augmentation is a ubiquitous technique for increasing the size of labeled training sets by leveraging task-specific data transformations that preserve class labels. While it i…

cs.CL2017★ 1 cited

Bidirectional American Sign Language to English Translation

Hardie Cate, Zeshan Hussain

We outline a bidirectional translation system that converts sentences from American Sign Language (ASL) to English, and vice versa. To perform machine translation between ASL and E…

cs.CV2017★ 1 cited

Group Visual Sentiment Analysis

Zeshan Hussain, Tariq Patanam, Hardie Cate

In this paper, we introduce a framework for classifying images according to high-level sentiment. We subdivide the task into three primary problems: emotion classification on faces…

cs.CV2017★ 6 cited

DeepFace: Face Generation using Deep Learning

Hardie Cate, Fahim Dalvi, Zeshan Hussain

We use CNNs to build a system that both classifies images of faces based on a variety of different facial attributes and generates new faces given a set of desired facial character…

cs.CV2017★ 9 cited

Sign Language Recognition Using Temporal Classification

Hardie Cate, Fahim Dalvi, Zeshan Hussain

Devices like the Myo armband available in the market today enable us to collect data about the position of a user's hands and fingers over time. We can use these technologies for s…