Serena Yeung

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Stanford University

Personalized Federated Learning with First Order Model Optimization

While federated learning traditionally aims to train a single global mod...
12/15/2020 ∙ by Michael Zhang, et al. ∙ 17 ∙ share

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Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery

Open, or non-laparoscopic surgery, represents the vast majority of all o...
12/13/2020 ∙ by Michael Zhang, et al. ∙ 6 ∙ share

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Learning Hyperbolic Representations for Unsupervised 3D Segmentation

There exists a need for unsupervised 3D segmentation on complex volumetr...
12/03/2020 ∙ by Joy Hsu, et al. ∙ 0 ∙ share

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Holistic 3D Human and Scene Mesh Estimation from Single View Images

The 3D world limits the human body pose and the human body pose conveys ...
12/02/2020 ∙ by Zhenzhen Weng, et al. ∙ 0 ∙ share

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Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions

We study the problem of medical symptoms recognition from patient text, ...
11/12/2020 ∙ by Ali Mottaghi, et al. ∙ 29 ∙ share

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Rapidly Personalizing Mobile Health Treatment Policies with Limited Data

In mobile health (mHealth), reinforcement learning algorithms that adapt...
02/23/2020 ∙ by Sabina Tomkins, et al. ∙ 11 ∙ share

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Adversarial Representation Active Learning

Active learning aims to develop label-efficient algorithms by querying t...
12/20/2019 ∙ by Ali Mottaghi, et al. ∙ 44 ∙ share

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Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

Homomorphic encryption enables arbitrary computation over data while it ...
11/25/2018 ∙ by Edward Chou, et al. ∙ 0 ∙ share

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Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Five billion people in the world lack access to quality surgical care. S...
02/24/2018 ∙ by Amy Jin, et al. ∙ 0 ∙ share

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Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance

One in twenty-five patients admitted to a hospital will suffer from a ho...
08/01/2017 ∙ by Albert Haque, et al. ∙ 0 ∙ share

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Learning to Learn from Noisy Web Videos

Understanding the simultaneously very diverse and intricately fine-grain...
06/09/2017 ∙ by Serena Yeung, et al. ∙ 0 ∙ share

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Towards Viewpoint Invariant 3D Human Pose Estimation

We propose a viewpoint invariant model for 3D human pose estimation from...
03/23/2016 ∙ by Albert Haque, et al. ∙ 0 ∙ share

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End-to-end Learning of Action Detection from Frame Glimpses in Videos

In this work we introduce a fully end-to-end approach for action detecti...
11/22/2015 ∙ by Serena Yeung, et al. ∙ 0 ∙ share

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Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

Every moment counts in action recognition. A comprehensive understanding...
07/21/2015 ∙ by Serena Yeung, et al. ∙ 0 ∙ share

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VideoSET: Video Summary Evaluation through Text

In this paper we present VideoSET, a method for Video Summary Evaluation...
06/23/2014 ∙ by Serena Yeung, et al. ∙ 0 ∙ share

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Serena Yeung

Featured Co-authors

Li Fei-Fei

Sanja Fidler

Greg Mori

Alexandre Alahi

Olga Russakovsky

Jose M. Alvarez

Alireza Fathi

Anitha Kannan

Predrag Klasnja

Mykhaylo Andriluka

Albert Haque

Personalized Federated Learning with First Order Model Optimization

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery

Learning Hyperbolic Representations for Unsupervised 3D Segmentation

Holistic 3D Human and Scene Mesh Estimation from Single View Images

Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data

Adversarial Representation Active Learning

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance

Learning to Learn from Noisy Web Videos

Towards Viewpoint Invariant 3D Human Pose Estimation

End-to-end Learning of Action Detection from Frame Glimpses in Videos

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

VideoSET: Video Summary Evaluation through Text