Serena Yeung

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 82

Top Topics

Viewpoint Invariant

Pulmonary Embolism

Top Venues

npj Digit. Medicine

Publications

Yuhui Zhang, Elaine Sui, Serena Yeung
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data. ICLR (2024)
Ali Mottaghi, Muhammad Abdullah Jamal, Serena Yeung, Omid Mohareri
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space. CoRR (2024)
Shih-Cheng Huang, Anuj Pareek, Malte Jensen, Matthew P. Lungren, Serena Yeung, Akshay S. Chaudhari
Self-supervised learning for medical image classification: a systematic review and implementation guidelines. npj Digit. Medicine 6 (2023)
Pranav Vaid, Serena Yeung, Anita Rau
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments. MLHC (2023)
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
LOVM: Language-Only Vision Model Selection. CoRR (2023)
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
LOVM: Language-Only Vision Model Selection. NeurIPS (2023)
Zhenzhen Weng, Zeyu Wang, Serena Yeung
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image. CoRR (2023)
James Burgess, Kuan-Chieh Wang, Serena Yeung
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models. CoRR (2023)
Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung
Hyperbolic Deep Learning in Computer Vision: A Survey. CoRR (2023)
Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang
Open World Object Detection in the Era of Foundation Models. CoRR (2023)
Alexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar
Video pretraining advances 3D deep learning on chest CT tasks. MIDL (2023)
Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. CVPR (2023)
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
Generalizable Neural Fields as Partially Observed Neural Processes. ICCV (2023)
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. CoRR (2023)
Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. CoRR (2023)
Zhenzhen Weng, Laura Bravo Sánchez, Serena Yeung
Diffusion-HPC: Generating Synthetic Images with Realistic Humans. CoRR (2023)
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
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. CoRR (2023)
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
Generalizable Neural Fields as Partially Observed Neural Processes. CoRR (2023)
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
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS (2023)
Alexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar
Video Pretraining Advances 3D Deep Learning on Chest CT Tasks. CoRR (2023)
Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. ACL (Findings) (2023)
Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. CoRR (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. ICLR (2023)
Orr Zohar, Kuan-Chieh Wang, Serena Yeung
PROB: Probabilistic Objectness for Open World Object Detection. CVPR (2023)
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms. NeurIPS (2023)
Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung
Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. 3DV (2022)
Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Y. Zou
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. NeurIPS (2022)
Josiah Aklilu, Serena Yeung
ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images. MLHC (2022)
Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Zou
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. CoRR (2022)
Orr Zohar, Kuan-Chieh Wang, Serena Yeung
PROB: Probabilistic Objectness for Open World Object Detection. CoRR (2022)
Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri
Adaptation of Surgical Activity Recognition Models Across Operating Rooms. MICCAI (8) (2022)
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
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022)
Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri
Adaptation of Surgical Activity Recognition Models Across Operating Rooms. CoRR (2022)
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
DataPerf: Benchmarks for Data-Centric AI Development. CoRR (2022)
Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. ML4H@NeurIPS (2022)
Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery. CoRR (2022)
Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. CoRR (2022)
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez
Personalized Federated Learning with First Order Model Optimization. ICLR (2021)
Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition. ICCV (2021)
Joy Hsu, Jeffrey Gu, Gong Her Wu, Wah Chiu, Serena Yeung
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations. NeurIPS (2021)
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
A real-time spatiotemporal AI model analyzes skill in open surgical videos. CoRR (2021)
Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. CoRR (2021)
Julia Gong, F. Christopher Holsinger, Serena Yeung
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation. CoRR (2021)
Joy Hsu, Wah Chiu, Serena Yeung
DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. CVPR (2021)
Joy Hsu, Wah Chiu, Serena Yeung
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. CoRR (2021)
Julia Gong, F. Christopher Holsinger, Serena Yeung
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation. BMVC (2021)
Zhenzhen Weng, Serena Yeung
Holistic 3D Human and Scene Mesh Estimation From Single View Images. CVPR (2021)
Jeffrey Gu, Serena Yeung
Staying in shape: learning invariant shape representations using contrastive learning. UAI (2021)
Jeffrey Gu, Serena Yeung
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning. CoRR (2021)
Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. CVPR (2021)
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean, Richard Socher
Deep learning-enabled medical computer vision. npj Digit. Medicine 4 (2021)
Peter Washington, Serena Yeung, Bethany Percha, Nicholas P. Tatonetti, Jan T. Liphardt, Dennis P. Wall
Achieving Trustworthy Biomedical Data Solutions. PSB (2021)
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez
Personalized Federated Learning with First Order Model Optimization. CoRR (2020)
Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery. CoRR (2020)
Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions. CoRR (2020)
Amit Singh, Albert Haque, Alexandre Alahi, Serena Yeung, Michelle Guo, Jill R. Glassman, William Beninati, Terry Platchek, Li Fei-Fei, Arnold Milstein
Automatic detection of hand hygiene using computer vision technology. J. Am. Medical Informatics Assoc. 27 (8) (2020)
Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. CoRR (2020)
Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung
Learning Hyperbolic Representations for Unsupervised 3D Segmentation. CoRR (2020)
Zhenzhen Weng, Serena Yeung
Holistic 3D Human and Scene Mesh Estimation from Single View Images. CoRR (2020)
Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery. AMIA (2020)
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
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. npj Digit. Medicine 2 (2019)
Ali Mottaghi, Serena Yeung
Adversarial Representation Active Learning. CoRR (2019)
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. Int. J. Comput. Vis. 126 (2-4) (2018)
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
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. MLHC (2018)
Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei
Dynamic Task Prioritization for Multitask Learning. ECCV (16) (2018)
Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei
Neural Graph Matching Networks for Fewshot 3D Action Recognition. ECCV (1) (2018)
Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. WACV (2018)
Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. CoRR (2018)
Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. ECCV (3) (2018)
Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. CoRR (2018)
Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV (2018)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CoRR (2017)
Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals. CVPR (2017)
Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei
Tackling Over-pruning in Variational Autoencoders. CoRR (2017)
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
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. MLHC (2017)
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
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. CoRR (2017)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CVPR (2017)
Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei
End-to-End Learning of Action Detection from Frame Glimpses in Videos. CVPR (2016)
Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei
Towards Viewpoint Invariant 3D Human Pose Estimation. ECCV (1) (2016)
Serena Yeung, Alexandre Alahi, Albert Haque, Boya Peng, Zelun Luo, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei
Vision-Based Hand Hygiene Monitoring in Hospitals. AMIA (2016)
Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei
Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback. CoRR (2016)
Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei
End-to-end Learning of Action Detection from Frame Glimpses in Videos. CoRR (2015)
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. CoRR (2015)
Serena Yeung, Alireza Fathi, Li Fei-Fei
VideoSET: Video Summary Evaluation through Text. CoRR (2014)