b'Serena Yeung'

research

∙ 06/21/2022

Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery

The ability to perceive 3D human bodies from a single image has a multit...

Zhenzhen Weng, et al. ∙

research

∙ 03/03/2022

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

We present modality gap, an intriguing geometric phenomenon of the repre...

Weixin Liang, et al. ∙

research

∙ 12/14/2021

A real-time spatiotemporal AI model analyzes skill in open surgical videos

Open procedures represent the dominant form of surgery worldwide. Artifi...

Emmett D. Goodman, et al. ∙

research

∙ 11/20/2021

FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation

We consider the task of semi-supervised video object segmentation (VOS)....

Julia Gong, et al. ∙

research

∙ 07/08/2021

Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning

Creating representations of shapes that are invari-ant to isometric or a...

Jeffrey Gu, et al. ∙

research

∙ 04/03/2021

DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

In the biomedical domain, there is an abundance of dense, complex data w...

Joy Hsu, et al. ∙

research

∙ 04/02/2021

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

Instance segmentation is an active topic in computer vision that is usua...

Zhenzhen Weng, et al. ∙

research

∙ 12/15/2020

Personalized Federated Learning with First Order Model Optimization

While federated learning traditionally aims to train a single global mod...

Michael Zhang, et al. ∙

research

∙ 12/13/2020

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...

Michael Zhang, et al. ∙

research

∙ 12/03/2020

Learning Hyperbolic Representations for Unsupervised 3D Segmentation

There exists a need for unsupervised 3D segmentation on complex volumetr...

Joy Hsu, et al. ∙

research

∙ 12/02/2020

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 ...

Zhenzhen Weng, et al. ∙

research

∙ 11/12/2020

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, ...

Ali Mottaghi, et al. ∙

research

∙ 02/23/2020

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data

In mobile health (mHealth), reinforcement learning algorithms that adapt...

Sabina Tomkins, et al. ∙

research

∙ 12/20/2019

Adversarial Representation Active Learning

Active learning aims to develop label-efficient algorithms by querying t...

Ali Mottaghi, et al. ∙

research

∙ 11/25/2018

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

Homomorphic encryption enables arbitrary computation over data while it ...

Edward Chou, et al. ∙

research

∙ 02/24/2018

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...

Amy Jin, et al. ∙

research

∙ 08/01/2017

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...

Albert Haque, et al. ∙

research

∙ 06/09/2017

Learning to Learn from Noisy Web Videos

Understanding the simultaneously very diverse and intricately fine-grain...

Serena Yeung, et al. ∙

research

∙ 03/23/2016

Towards Viewpoint Invariant 3D Human Pose Estimation

We propose a viewpoint invariant model for 3D human pose estimation from...

Albert Haque, et al. ∙

research

∙ 11/22/2015

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...

Serena Yeung, et al. ∙

research

∙ 07/21/2015

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

Every moment counts in action recognition. A comprehensive understanding...

Serena Yeung, et al. ∙

research

∙ 06/23/2014

VideoSET: Video Summary Evaluation through Text

In this paper we present VideoSET, a method for Video Summary Evaluation...

Serena Yeung, et al. ∙

Serena Yeung

Featured Co-authors

Li Fei-Fei

Sanja Fidler

James Zou

Greg Mori

Alexandre Alahi

Jose M. Alvarez

Angjoo Kanazawa

Olga Russakovsky

Alireza Fathi

Michael Zhang

Anitha Kannan

Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

A real-time spatiotemporal AI model analyzes skill in open surgical videos

FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation

Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning

DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

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