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20122026
most citedPerceptual Losses for Real-Time Style Transfer and Super-Resolution

1.2k citations · 8.7k across the 141 of their papers we have counts for

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Showing 2018Show all

22 papers · 1 filter

cs.CV2018

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Nam Vo, Lu Jiang, Chen Sun +4

In this paper, we study the task of image retrieval, where the input query is specified in the form of an image plus some text that describes desired modifications to the input ima…

cs.CV2018★ 12 cited

Vision-Based Gait Analysis for Senior Care

David Xue, Anin Sayana, Evan Darke +7

As the senior population rapidly increases, it is challenging yet crucial to provide effective long-term care for seniors who live at home or in senior care facilities. Smart senio…

cs.CV2018★ 99 cited

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions

Albert Haque, Michelle Guo, Adam S Miner +1

With more than 300 million people depressed worldwide, depression is a global problem. Due to access barriers such as social stigma, cost, and treatment availability, 60% of mental…

cs.CR2018★ 134 cited

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

Edward Chou, Josh Beal, Daniel Levy +3

Homomorphic encryption enables arbitrary computation over data while it remains encrypted. This privacy-preserving feature is attractive for machine learning, but requires signific…

cs.CR2018★ 4 cited

A Fully Private Pipeline for Deep Learning on Electronic Health Records

Edward Chou, Thao Nguyen, Josh Beal +2

We introduce an end-to-end private deep learning framework, applied to the task of predicting 30-day readmission from electronic health records. By using differential privacy durin…

cs.CV2018★ 14 cited

Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images

Edward Chou, Matthew Tan, Cherry Zou +4

Computer-vision hospital systems can greatly assist healthcare workers and improve medical facility treatment, but often face patient resistance due to the perceived intrusiveness…