Serena Yeung

发表

Deep learning-enabled medical computer vision

R. Socher, J. Dean, S. Yeung, 2021, npj Digital Medicine.

Using AI and computer vision to analyze technical proficiency in robotic surgery

Aaron J. Dawes, Micaela M. Esquivel, B. Gurland, 2022, Surgical Endoscopy.

Dynamic Task Prioritization for Multitask Learning

Li Fei-Fei, Albert Haque, Michelle Guo, 2018, ECCV.

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

Quoc V. Le, Andrew Y. Ng, Will Y. Zou, 2011, CVPR 2011.

Neural Graph Matching Networks for Fewshot 3D Action Recognition

Li Fei-Fei, Michelle Guo, Shuran Song, 2018, ECCV.

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

Serena Yeung, Anitha Kannan, Xavier Amatriain, 2020, ArXiv.

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

Li Fei-Fei, Albert Haque, Michelle Guo, 2017, MLHC.

Semi-supervised Segmentation of Brain MRI Images

S. Yeung, A. Mottaghi, Serena Yeung, 2020 .

CryoET reveals organelle phenotypes in huntington disease patient iPSC-derived and mouse primary neurons

Jesús G. Galaz-Montoya, J. Frydman, Joy Hsu, 2022, bioRxiv.

Using deep learning to identify the recurrent laryngeal nerve during thyroidectomy

J. Jopling, L. Orloff, C. Cernea, 2021, Scientific Reports.

Developing medical imaging AI for emerging infectious diseases

S. Yeung, M. Lungren, A. Chaudhari, 2022, Nature Communications.

Learning orientation-invariant representations enables accurate and robust morphologic profiling of cells and organelles

Jeffrey J. Nirschl, Serena Yeung, Sarah Cohen, 2022, bioRxiv.

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

Jonathan Krause, Li Fei-Fei, Arnold Milstein, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos

Juan Carlos Niebles, Li Fei-Fei, Serena Yeung, 2018, ECCV.

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

S. Yeung, M. Lungren, Shih-Cheng Huang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Serena Yeung, Zhenzhen Weng, Zhenzhen Weng, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

James Y. Zou, S. Yeung, Weixin Liang, 2022, NeurIPS.

BURNED : Towards Efficient and Accurate Burn Prognosis Using Deep Learning

Serena Yeung, Jeffrey Jopling, Arnold Milstein, 2017 .

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

R. Socher, James Y. Zou, M. Lungren, 2022, npj Digital Medicine.

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

Li Fei-Fei, Greg Mori, Olga Russakovsky, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Parents’ Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey

Jill R. Glassman, A. Milstein, L. Sanders, 2021, Journal of medical Internet research.

Parents’ Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey (Preprint)

Jill R. Glassman, A. Milstein, K. Humphreys, 2020 .

Achieving Trustworthy Biomedical Data Solutions

Bethany Percha, Peter Washington, Nicholas P. Tatonetti, 2020, PSB.

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

Alexandre Alahi, S. Yeung, A. Milstein, 2019, npj Digital Medicine.

Personalized Federated Learning with First Order Model Optimization pdf

Sanja Fidler, Karan Sapra, Michael Zhang, 2020, ICLR.

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

Li Fei-Fei, Greg Mori, Olga Russakovsky, 2015, International Journal of Computer Vision.

Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals

Li Fei-Fei, Alexandre Alahi, Serena Yeung, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Diffusion-HPC: Generating Synthetic Images with Realistic Humans

Laura Bravo Sánchez, Zhenzhen Weng, Serena Yeung, 2023, ArXiv.

VideoSET: Video Summary Evaluation through Text pdf

Li Fei-Fei, Serena Yeung, Alireza Fathi, 2014, ArXiv.

Towards Viewpoint Invariant 3D Human Pose Estimation

Fei-Fei Li, Albert Haque, Zelun Luo, 2016, ECCV.

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

Serena Yeung, Emmett D. Goodman, Krishna K. Patel, 2021, ArXiv.

Hyperbolic Deep Learning in Computer Vision: A Survey

Mina Ghadimi Atigh, P. Mettes, M. Keller-Ressel, 2023, ArXiv.

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

Mehmet Giray Ogut, Zhenzhen Weng, Serena Yeung, 2021 .

Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations

Joy Hsu, Gong-Her Wu, Serena Yeung, 2020, NeurIPS.

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning

Li Fei-Fei, Greg Mori, Judy Hoffman, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

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

Angjoo Kanazawa, Zhenzhen Weng, Serena Yeung, 2022, 2022 International Conference on 3D Vision (3DV).

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

Serena Yeung, Joy Hsu, Wah Chiu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action

C. K. Liu, M. Xenochristou, Zhenzhen Weng, 2022, ArXiv.

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

S. Yeung, A. Mottaghi, O. Mohareri, 2022, MICCAI.

Diagnosing and Rectifying Vision Models using Language

James Y. Zou, Jeff Z. HaoChen, Shih-Cheng Huang, 2023, ICLR.

DataPerf: Benchmarks for Data-Centric AI Development

Margaret J. Warren, Colby R. Banbury, James Y. Zou, 2022, arXiv.org.

LOVM: Language-Only Vision Model Selection

Shih-Cheng Huang, O. Zohar, Kuan Wang, 2023, ArXiv.

PROB: Probabilistic Objectness for Open World Object Detection

O. Zohar, Serena Yeung, Kuan-Chieh Jackson Wang, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Automatic detection of hand hygiene using computer vision technology

Li Fei-Fei, Arnold Milstein, Ashutosh Kumar Singh, 2020, J. Am. Medical Informatics Assoc..

Learning to Learn from Noisy Web Videos

Li Fei-Fei, Greg Mori, Olga Russakovsky, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Vision-Based Descriptive Analytics of Seniors ’ Daily Activities for Long-Term Health Monitoring

Li-Jia Li, S. Yeung, A. Milstein, 2018 .

Ethical and Legal Aspects of Ambient Intelligence in Hospitals.

Serena Yeung, I Glenn Cohen, Sara Gerke, 2020, JAMA.

DataPerf: Benchmarks for Data-Centric AI Development

Margaret J. Warren, Colby R. Banbury, James Y. Zou, 2022, ArXiv.

Video Pretraining Advances 3D Deep Learning on Chest CT Tasks

P. Rajpurkar, Chloe O'Connell, Alexander Ke, 2023, ArXiv.

Predicting Mode of Transport from iPhone Accelerometer Data

Serena Yeung, Ben Nham, Kanya Siangliulue, 2012 .

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Malte E. K. Jensen, A. Pareek, A. Chaudhari, 2023, npj Digit. Medicine.

Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning

Serena Yeung, Jeffrey Gu, Serena Yeung, 2021, UAI.

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

Serena Yeung, Mehmet Giray Ogut, Zhenzhen Weng, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Melody Y. Guan, Michael Zhang, Serena Yeung, 2020, AMIA.

Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios

Li Fei-Fei, Albert Haque, Michelle Guo, 2017, NIPS 2017.

Vision-Based Hand Hygiene Monitoring in Hospitals

Fei-Fei Li, Albert Haque, Arnold Milstein, 2016, AMIA.

Bedside Computer Vision - Moving Artificial Intelligence from Driver Assistance to Patient Safety.

Li Fei-Fei, S. Yeung, A. Milstein, 2018, The New England journal of medicine.

Learning Hyperbolic Representations for Unsupervised 3D Segmentation

Joy Hsu, Gong-Her Wu, Serena Yeung, 2020, ArXiv.

Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations

Joy Hsu, Gong-Her Wu, Serena Yeung, 2022 .

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference pdf

Li Fei-Fei, Albert Haque, Serena Yeung, 2018, ArXiv.

Epitomic Variational Autoencoders

Li Fei-Fei, Serena Yeung, Anitha Kannan, 2017 .

Tackling Over-pruning in Variational Autoencoders pdf

Li Fei-Fei, Yann Dauphin, Serena Yeung, 2017, ArXiv.

Summary for CIFE Seed Proposals for Academic Year 2019-20 Proposal number : 2019-09 Proposal title

S. Yeung, A. Milstein, Elaina Chai, 2019 .

Fully Connected Layers

P. Jyothi, Serena Yeung, Fei-Fei Li, 2019 .

Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation

M. Lungren, Yuhui Zhang, Shihua Huang, 2023, ML4H@NeurIPS.

ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images

Serena Yeung, Josiah Aklilu, 2022, Machine Learning in Health Care.

EPITOMIC VARIATIONAL AUTOENCODER

Yann Dauphin, Serena Yeung, Anitha Kannan, 2017 .

SELSAMOT: Sequence-Level Semantic Aggregation for Multi-Object Tracking

Serena Yeung, Elaine Sui, 2022 .

Text Embedding Image Embedding Classifier Waterbird or Landbird ? Discover Error Slices Identify Influential Attributes Rectify Model Misbehaviors

James Y. Zou, Jeff Z. HaoChen, Shih-Cheng Huang, 2023 .

Bedside Computer Vision - Moving Artificial Intelligence from Driver Assistance to Patient Safety.

Li Fei-Fei, A. Milstein, N. L. Downing, 2018, The New England journal of medicine.

Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models

James Y. Zou, Jeff Z. HaoChen, Percy Liang, 2023, ACL.

DataPerf: Benchmarks for Data-Centric AI Development

Margaret J. Warren, Colby R. Banbury, James Y. Zou, 2022, NeurIPS.

Personalized Federated Learning with First Order Model Optimization

S. Fidler, J. Álvarez, Karan Sapra, 2020, ICLR.

Adversarial Representation Active Learning pdf

Serena Yeung, Ali Mottaghi, A. Mottaghi, 2019, ArXiv.