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- affiliation: Stanford University, CA, USA
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2020 – today
- 2023
[i30]Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung:
Diagnosing and Rectifying Vision Models using Language. CoRR abs/2302.04269 (2023)- [i29]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 abs/2302.04303 (2023) - [i28]Zhenzhen Weng, Laura Bravo Sánchez, Serena Yeung:
Diffusion-HPC: Generating Synthetic Images with Realistic Humans. CoRR abs/2303.09541 (2023) - 2022
- [c27]Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung:
Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. 3DV 2022: 261-270 - [c26]Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri:
Adaptation of Surgical Activity Recognition Models Across Operating Rooms. MICCAI (8) 2022: 530-540 - [c25]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: 391-404 - [c24]Josiah Aklilu, Serena Yeung:
ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images. MLHC 2022: 892-911 - [e2]Zachary C. Lipton, Rajesh Ranganath, Mark P. Sendak, Michael W. Sjoding, Serena Yeung:
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA. Proceedings of Machine Learning Research 182, PMLR 2022 [contents] - [i27]Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Zou:
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. CoRR abs/2203.02053 (2022) - [i26]Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung:
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery. CoRR abs/2206.10457 (2022) - [i25]Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri:
Adaptation of Surgical Activity Recognition Models Across Operating Rooms. CoRR abs/2207.03083 (2022) - [i24]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 abs/2207.10062 (2022) - [i23]Orr Zohar, Kuan-Chieh Wang, Serena Yeung:
PROB: Probabilistic Objectness for Open World Object Detection. CoRR abs/2212.01424 (2022) - [i22]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 abs/2212.13660 (2022) - 2021
- [c23]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: 253 - [c22]Zhenzhen Weng, Serena Yeung:
Holistic 3D Human and Scene Mesh Estimation From Single View Images. CVPR 2021: 334-343 - [c21]Joy Hsu, Wah Chiu, Serena Yeung:
DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. CVPR 2021: 1003-1012 - [c20]Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung:
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. CVPR 2021: 2603-2612 - [c19]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: 3922-3931 - [c18]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez:
Personalized Federated Learning with First Order Model Optimization. ICLR 2021 - [c17]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: 5112-5123 - [c16]Peter Washington, Serena Yeung, Bethany Percha, Nicholas P. Tatonetti, Jan T. Liphardt, Dennis P. Wall:
Achieving Trustworthy Biomedical Data Solutions. PSB 2021 - [c15]Jeffrey Gu, Serena Yeung:
Staying in shape: learning invariant shape representations using contrastive learning. UAI 2021: 1852-1862 - [e1]Ken Jung, Serena Yeung, Mark P. Sendak, Michael W. Sjoding, Rajesh Ranganath:
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2021, 6-7 August 2021, Virtual Event. Proceedings of Machine Learning Research 149, PMLR 2021 [contents] - [i21]Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung:
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. CoRR abs/2104.01257 (2021) - [i20]Joy Hsu, Wah Chiu, Serena Yeung:
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. CoRR abs/2104.01325 (2021) - [i19]Jeffrey Gu, Serena Yeung:
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning. CoRR abs/2107.03552 (2021) - [i18]Julia Gong, F. Christopher Holsinger, Serena Yeung:
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation. CoRR abs/2111.10621 (2021) - [i17]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 abs/2112.07219 (2021) - 2020
- [j2]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): 1316-1320 (2020) - [c14]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 - [i16]Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy:
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. CoRR abs/2002.09971 (2020) - [i15]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 abs/2011.06874 (2020) - [i14]Zhenzhen Weng, Serena Yeung:
Holistic 3D Human and Scene Mesh Estimation from Single View Images. CoRR abs/2012.01591 (2020) - [i13]Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung:
Learning Hyperbolic Representations for Unsupervised 3D Segmentation. CoRR abs/2012.01644 (2020) - [i12]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 abs/2012.06948 (2020) - [i11]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez:
Personalized Federated Learning with First Order Model Optimization. CoRR abs/2012.08565 (2020)
2010 – 2019
- 2019
- [i10]Ali Mottaghi, Serena Yeung:
Adversarial Representation Active Learning. CoRR abs/1912.09720 (2019) - 2018
- [j1]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): 375-389 (2018) - [c13]Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei:
Dynamic Task Prioritization for Multitask Learning. ECCV (16) 2018: 282-299 - [c12]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: 569-586 - [c11]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: 673-689 - [c10]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: 17-29 - [c9]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: 691-699 - [c8]Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei:
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV 2018: 1568-1576 - [i9]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 abs/1802.08774 (2018) - [i8]Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei:
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. CoRR abs/1811.09953 (2018) - 2017
- [c7]Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei:
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals. CVPR 2017: 6817-6826 - [c6]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CVPR 2017: 7455-7463 - [c5]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: 75-87 - [i7]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CoRR abs/1706.02884 (2017) - [i6]Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei:
Tackling Over-pruning in Variational Autoencoders. CoRR abs/1706.03643 (2017) - [i5]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 abs/1708.00163 (2017) - 2016
- [c4]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 - [c3]Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei:
End-to-End Learning of Action Detection from Frame Glimpses in Videos. CVPR 2016: 2678-2687 - [c2]Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei:
Towards Viewpoint Invariant 3D Human Pose Estimation. ECCV (1) 2016: 160-177 - [i4]Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei:
Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback. CoRR abs/1603.07076 (2016) - 2015
- [i3]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 abs/1507.05738 (2015) - [i2]Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei:
End-to-end Learning of Action Detection from Frame Glimpses in Videos. CoRR abs/1511.06984 (2015) - 2014
- [i1]Serena Yeung, Alireza Fathi, Li Fei-Fei:
VideoSET: Video Summary Evaluation through Text. CoRR abs/1406.5824 (2014) - 2011
- [c1]Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng:
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. CVPR 2011: 3361-3368
Coauthor Index
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last updated on 2023-03-26 01:23 CET by the dblp team
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