Serena Yeung-Levy

According to our database, Serena Yeung-Levy authored at least 72 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Depth-guided NeRF Training via Earth Mover's Distance.

Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy

CoRR, 2024

Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models.

Elaine Sui, Xiaohan Wang, Serena Yeung-Levy

CoRR, 2024

VideoAgent: Long-form Video Understanding with Large Language Model as Agent.

Xiaohan Wang, Yuhui Zhang, Orr Zohar, Serena Yeung-Levy

CoRR, 2024

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon

CoRR, 2024

Multi-Human Mesh Recovery with Transformers.

Zeyu Wang, Zhenzhen Weng, Serena Yeung-Levy

CoRR, 2024

Revisiting Active Learning in the Era of Vision Foundation Models.

Sanket Rajan Gupte, Josiah Aklilu, Jeffrey J. Nirschl, Serena Yeung-Levy

CoRR, 2024

AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space.

Ali Mottaghi, Muhammad Abdullah Jamal, Serena Yeung, Omid Mohareri

CoRR, 2024

Single-View 3D Human Digitalization with Large Reconstruction Models.

Zhenzhen Weng, Jingyuan Liu, Hao Tan, Zhan Xu, Yang Zhou, Serena Yeung-Levy, Jimei Yang

CoRR, 2024

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data.

Yuhui Zhang, Elaine Sui, Serena Yeung-Levy

CoRR, 2024

2023

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

Shih-Cheng Huang, Anuj Pareek, Malte Jensen, Matthew P. Lungren, Serena Yeung, Akshay S. Chaudhari

npj Digit. Medicine, 2023

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

Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad

npj Digit. Medicine, 2023

Open World Object Detection in the Era of Foundation Models.

Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang

CoRR, 2023

Describing Differences in Image Sets with Natural Language.

Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy

CoRR, 2023

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis.

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries

CoRR, 2023

Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models.

James Burgess, Kuan-Chieh Wang, Serena Yeung

CoRR, 2023

ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image.

Zhenzhen Weng, Zeyu Wang, Serena Yeung

CoRR, 2023

Hyperbolic Deep Learning in Computer Vision: A Survey.

Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung

CoRR, 2023

Diffusion-HPC: Generating Synthetic Images with Realistic Humans.

Zhenzhen Weng, Laura Bravo Sánchez, Serena Yeung

CoRR, 2023

LOVM: Language-Only Vision Model Selection.

Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DataPerf: Benchmarks for Data-Centric AI Development.

Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms.

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments.

Pranav Vaid, Serena Yeung, Anita Rau

Proceedings of the Machine Learning for Healthcare Conference, 2023

Video pretraining advances 3D deep learning on chest CT tasks.

Alexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar

Proceedings of the Medical Imaging with Deep Learning, 2023

Diagnosing and Rectifying Vision Models using Language.

Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generalizable Neural Fields as Partially Observed Neural Processes.

Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PROB: Probabilistic Objectness for Open World Object Detection.

Orr Zohar, Kuan-Chieh Wang, Serena Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad

npj Digit. Medicine, 2022

DataPerf: Benchmarks for Data-Centric AI Development.

Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

CoRR, 2022

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

Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Josiah Aklilu, Serena Yeung

Proceedings of the Machine Learning for Healthcare Conference, 2022

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

Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung

Proceedings of the Machine Learning for Health, 2022

Adaptation of Surgical Activity Recognition Models Across Operating Rooms.

Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung

Proceedings of the International Conference on 3D Vision, 2022

2021

Deep learning-enabled medical computer vision.

Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher

npj Digit. Medicine, 2021

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

Emmett D. Goodman, Krishna K. Patel, Yilun Zhang, William Locke, Chris J. Kennedy, Rohan Mehrotra, Stephen Ren, Melody Y. Guan, Maren Downing, Hao Wei Chen, Jevin Z. Clark, Gabriel A. Brat, Serena Yeung

CoRR, 2021

Staying in shape: learning invariant shape representations using contrastive learning.

Jeffrey Gu, Serena Yeung

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Achieving Trustworthy Biomedical Data Solutions.

Peter Washington, Serena Yeung, Bethany Percha, Nicholas P. Tatonetti, Jan T. Liphardt, Dennis P. Wall

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

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

Joy Hsu, Jeffrey Gu, Gong Her Wu, Wah Chiu, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Personalized Federated Learning with First Order Model Optimization.

Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Holistic 3D Human and Scene Mesh Estimation From Single View Images.

Zhenzhen Weng, Serena Yeung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Joy Hsu, Wah Chiu, Serena Yeung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Julia Gong, F. Christopher Holsinger, Serena Yeung

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Automatic detection of hand hygiene using computer vision technology.

Amit Singh, Albert Haque, Alexandre Alahi, Serena Yeung, Michelle Guo, Jill R. Glassman, William Beninati, Terry Platchek, Li Fei-Fei, Arnold Milstein

J. Am. Medical Informatics Assoc., 2020

Learning Hyperbolic Representations for Unsupervised 3D Segmentation.

Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung

CoRR, 2020

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

Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan

CoRR, 2020

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data.

Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy

CoRR, 2020

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

Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung

Proceedings of the AMIA 2020, 2020

2019

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

Serena Yeung, Francesca Rinaldo, Jeffrey Jopling, Bingbin Liu, Rishab Mehra, N. Lance Downing, Michelle Guo, Gabriel M. Bianconi, Alexandre Alahi, Julia Lee, Brandi Campbell, Kayla Deru, William Beninati, Li Fei-Fei, Arnold Milstein

npj Digit. Medicine, 2019

Adversarial Representation Active Learning.

Ali Mottaghi, Serena Yeung

CoRR, 2019

2018

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

Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei

Int. J. Comput. Vis., 2018

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

Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei

CoRR, 2018

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning.

Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

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

Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities.

Bingbin Liu, Michelle Guo, Edward Chou, Rishab Mehra, Serena Yeung, N. Lance Downing, Francesca Salipur, Jeffrey Jopling, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei

Proceedings of the Machine Learning for Healthcare Conference, 2018

Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos.

Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Computer Vision - ECCV 2018, 2018

Dynamic Task Prioritization for Multitask Learning.

Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

Neural Graph Matching Networks for Fewshot 3D Action Recognition.

Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Tackling Over-pruning in Variational Autoencoders.

Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei

CoRR, 2017

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

Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, N. Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei

Proceedings of the Machine Learning for Health Care Conference, 2017

Learning to Learn from Noisy Web Videos.

Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals.

Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

ITOP Dataset.

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

Dataset, October, 2016

Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback.

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

CoRR, 2016

Towards Viewpoint Invariant 3D Human Pose Estimation.

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Vision-Based Hand Hygiene Monitoring in Hospitals.

Serena Yeung, Alexandre Alahi, Albert Haque, Boya Peng, Zelun Luo, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei

Proceedings of the AMIA 2016, 2016

2014

VideoSET: Video Summary Evaluation through Text.

Serena Yeung, Alireza Fathi, Li Fei-Fei

CoRR, 2014

2011

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

Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011