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ORCIDSerena Yeung-Levy
Serena Yeung – Serena Y. Yeung
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2025
[c49]James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, Trevor Darrell, Serena Yeung-Levy:
Video Action Differencing. ICLR 2025- [c48]Jeffrey Gu, Serena Yeung-Levy:
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models. ICLR 2025 - [c47]Elaine Sui, Xiaohan Wang, Serena Yeung-Levy:
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models. WACV 2025: 825-835 - [i69]Yuhui Zhang, Yuchang Su, Yiming Liu, Xiaohan Wang, James Burgess, Elaine Sui, Chenyu Wang, Josiah Aklilu, Alejandro Lozano, Anjiang Wei, Ludwig Schmidt, Serena Yeung-Levy:
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. CoRR abs/2501.03225 (2025) - [i68]Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Austin Wolfgang Katzer, Collin Chiu, Anita Rau, Xiaohan Wang, Yuhui Zhang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy:
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature. CoRR abs/2501.07171 (2025) - [i67]Rui Li, Xiaohan Wang, Yuhui Zhang, Zeyu Wang, Serena Yeung-Levy:
Temporal Preference Optimization for Long-Form Video Understanding. CoRR abs/2501.13919 (2025) - [i66]Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J. Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy:
CellFlow: Simulating Cellular Morphology Changes via Flow Matching. CoRR abs/2502.09775 (2025) - [i65]Jeffrey Gu, Serena Yeung-Levy:
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models. CoRR abs/2503.00838 (2025) - [i64]Devanish N. Kamtam, Joseph B. Shrager, Satya Deepya Malla, Xiaohan Wang, Nicole Lin, Juan J. Cardona, Serena Yeung-Levy, Clarence Hu:
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection. CoRR abs/2503.03942 (2025) - [i63]James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, Trevor Darrell, Serena Yeung-Levy:
Video Action Differencing. CoRR abs/2503.07860 (2025) - [i62]James Burgess, Jeffrey J. Nirschl, Laura Bravo-Sánchez, Alejandro Lozano, Sanket Rajan Gupte, Jesus G. Galaz-Montoya, Yuhui Zhang, Yuchang Su, Disha Bhowmik, Zachary Coman, Sarina M. Hasan, Alexandra Johannesson, William D. Leineweber, Malvika G. Nair, Ridhi Yarlagadda, Connor Zuraski, Wah Chiu, Sarah Cohen, Jan N. Hansen, Manuel D. Leonetti, Chad Liu, Emma Lundberg, Serena Yeung-Levy:
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research. CoRR abs/2503.13399 (2025) - [i61]Alejandro Lozano, Min Woo Sun, James Burgess, Jeffrey J. Nirschl, Christopher Polzak, Yuhui Zhang, Liangyu Chen, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Collin Chiu, Orr Zohar, Xiaohan Wang, Alfred Seunghoon Song, Chia-Chun Chiang, Robert Tibshirani, Serena Yeung-Levy:
A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI. CoRR abs/2503.22727 (2025) - 2024
- [j10]Pascal Mettes
, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung:
Hyperbolic Deep Learning in Computer Vision: A Survey. Int. J. Comput. Vis. 132(9): 3484-3508 (2024) - [j9]Wui Ip, Maria Xenochristou, Elaine Sui, Elyse Ruan, Ryan Ribeira, Debadutta Dash, Malathi Srinivasan, Maja Artandi, Jesutofunmi A. Omiye, Nicholas Scoulios, Hayden L. Hofmann, Ali Mottaghi, Zhenzhen Weng, Abhinav Kumar, Ananya Ganesh, Jason A. Fries, Serena Yeung-Levy, Lawrence V. Hofmann:
Hospitalization prediction from the emergency department using computer vision AI with short patient video clips. npj Digit. Medicine 7(1) (2024) - [j8]Sanket Rajan Gupte, Josiah Aklilu, Jeffrey J. Nirschl, Serena Yeung-Levy:
Revisiting Active Learning in the Era of Vision Foundation Models. Trans. Mach. Learn. Res. 2024 (2024) - [c46]Zhenzhen Weng, Laura Bravo Sánchez, Serena Yeung-Levy:
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains. 3DV 2024: 257-267 - [c45]Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy:
Describing Differences in Image Sets with Natural Language. CVPR 2024: 24199-24208 - [c44]Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy:
Depth-Guided NeRF Training via Earth Mover's Distance. ECCV (64) 2024: 1-17 - [c43]Xiaohan Wang, Yuhui Zhang, Orr Zohar, Serena Yeung-Levy:
VideoAgent: Long-Form Video Understanding with Large Language Model as Agent. ECCV (80) 2024: 58-76 - [c42]James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy:
Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models. ECCV (64) 2024: 416-435 - [c41]Yuhui Zhang, Elaine Sui, Serena Yeung:
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data. ICLR 2024 - [c40]Alejandro Lozano, Jeffrey J. Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang, Alyssa Unell, Serena Yeung:
Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding. NeurIPS 2024 - [c39]Yuhui Zhang, Alyssa Unell, Xiaohan Wang, Dhruba Ghosh, Yuchang Su, Ludwig Schmidt, Serena Yeung:
Why are Visually-Grounded Language Models Bad at Image Classification? NeurIPS 2024 - [i60]Yuhui Zhang, Elaine Sui, Serena Yeung-Levy:
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data. CoRR abs/2401.08567 (2024) - [i59]Zhenzhen Weng, Jingyuan Liu, Hao Tan, Zhan Xu, Yang Zhou, Serena Yeung-Levy, Jimei Yang:
Single-View 3D Human Digitalization with Large Reconstruction Models. CoRR abs/2401.12175 (2024) - [i58]Ali Mottaghi, Muhammad Abdullah Jamal, Serena Yeung, Omid Mohareri:
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space. CoRR abs/2401.12421 (2024) - [i57]Sanket Rajan Gupte, Josiah Aklilu, Jeffrey J. Nirschl, Serena Yeung-Levy:
Revisiting Active Learning in the Era of Vision Foundation Models. CoRR abs/2401.14555 (2024) - [i56]Zeyu Wang, Zhenzhen Weng, Serena Yeung-Levy:
Multi-Human Mesh Recovery with Transformers. CoRR abs/2402.16806 (2024) - [i55]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:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - [i54]Xiaohan Wang, Yuhui Zhang, Orr Zohar, Serena Yeung-Levy:
VideoAgent: Long-form Video Understanding with Large Language Model as Agent. CoRR abs/2403.10517 (2024) - [i53]Elaine Sui, Xiaohan Wang, Serena Yeung-Levy:
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models. CoRR abs/2403.12952 (2024) - [i52]Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy:
Depth-guided NeRF Training via Earth Mover's Distance. CoRR abs/2403.13206 (2024) - [i51]Yuhui Zhang, Alyssa Unell, Xiaohan Wang, Dhruba Ghosh, Yuchang Su, Ludwig Schmidt, Serena Yeung-Levy:
Why are Visually-Grounded Language Models Bad at Image Classification? CoRR abs/2405.18415 (2024) - [i50]Alejandro Lozano, Jeffrey J. Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang, Alyssa Unell, Serena Yeung-Levy:
μ-Bench: A Vision-Language Benchmark for Microscopy Understanding. CoRR abs/2407.01791 (2024) - [i49]Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung-Levy:
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision. CoRR abs/2407.06189 (2024) - [i48]Zeyu Wang, Zhenzhen Weng, Serena Yeung-Levy:
Continuous Perception Benchmark. CoRR abs/2408.07867 (2024) - [i47]Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake:
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. CoRR abs/2409.11654 (2024) - [i46]Laura Bravo Sánchez, Jaewoo Heo, Zhenzhen Weng, Kuan-Chieh Wang, Serena Yeung-Levy:
Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models. CoRR abs/2410.00309 (2024) - [i45]Josiah Aklilu, Xiaohan Wang, Serena Yeung-Levy:
Zero-shot Action Localization via the Confidence of Large Vision-Language Models. CoRR abs/2410.14340 (2024) - [i44]Jaewoo Heo, Kuan-Chieh Wang, C. Karen Liu, Serena Yeung-Levy:
Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera. CoRR abs/2411.10582 (2024) - [i43]Jaewoo Heo, George Hu, Zeyu Wang, Serena Yeung-Levy:
DeforHMR: Vision Transformer with Deformable Cross-Attention for 3D Human Mesh Recovery. CoRR abs/2411.11214 (2024) - [i42]Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia:
Apollo: An Exploration of Video Understanding in Large Multimodal Models. CoRR abs/2412.10360 (2024) - [i41]Mark Endo, Xiaohan Wang, Serena Yeung-Levy:
Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration. CoRR abs/2412.13180 (2024) - 2023
- [j7]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) - [j6]Shih-Cheng Huang, Anuj Pareek, Malte E. K. 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) - [c38]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: 7479-7498 - [c37]Orr Zohar, Kuan-Chieh Wang, Serena Yeung:
PROB: Probabilistic Objectness for Open World Object Detection. CVPR 2023: 11444-11453 - [c36]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: 22129-22138 - [c35]Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung:
Generalizable Neural Fields as Partially Observed Neural Processes. ICCV 2023: 5307-5316 - [c34]Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung:
Diagnosing and Rectifying Vision Models using Language. ICLR 2023 - [c33]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: 758-774 - [c32]Pranav Vaid, Serena Yeung, Anita Rau:
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments. MLHC 2023: 736-753 - [c31]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 - [c30]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 - [c29]Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung:
LOVM: Language-Only Vision Model Selection. NeurIPS 2023 - [i40]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) - [i39]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) - [i38]Zhenzhen Weng, Laura Bravo Sánchez, Serena Yeung:
Diffusion-HPC: Generating Synthetic Images with Realistic Humans. CoRR abs/2303.09541 (2023) - [i37]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 abs/2304.00546 (2023) - [i36]Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung:
Hyperbolic Deep Learning in Computer Vision: A Survey. CoRR abs/2305.06611 (2023) - [i35]Zhenzhen Weng, Zeyu Wang, Serena Yeung:
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image. CoRR abs/2305.16411 (2023) - [i34]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 abs/2305.17311 (2023) - [i33]Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung:
LOVM: Language-Only Vision Model Selection. CoRR abs/2306.08893 (2023) - [i32]Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung:
Generalizable Neural Fields as Partially Observed Neural Processes. CoRR abs/2309.06660 (2023) - [i31]James Burgess, Kuan-Chieh Wang, Serena Yeung:
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models. CoRR abs/2309.07986 (2023) - [i30]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 abs/2311.10798 (2023) - [i29]Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy:
Describing Differences in Image Sets with Natural Language. CoRR abs/2312.02974 (2023) - [i28]Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang:
Open World Object Detection in the Era of Foundation Models. CoRR abs/2312.05745 (2023) - 2022
- [j5]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) - [c28]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 - [c27]Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri:
Adaptation of Surgical Activity Recognition Models Across Operating Rooms. MICCAI (8) 2022: 530-540 - [c26]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 - [c25]Josiah Aklilu, Serena Yeung:
ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images. MLHC 2022: 892-911 - [c24]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 - [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
- [j4]Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher:
Deep learning-enabled medical computer vision. npj Digit. Medicine 4 (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, José M. Álvarez:
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
- [j3]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, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. CoRR abs/2012.08565 (2020)
2010 – 2019
- 2019
- [j2]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) - [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 - [d1]Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei:
ITOP Dataset. Zenodo, 2016
- [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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