Sotabase

Career

· Postdoctoral Researcher, Harvard University2019–
· Assistant Professor of Biomedical Data Science, Stanford University2019–
· Intern, Google2017–2018
· PhD Student, Stanford University2013–2018

Publications (164)

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
Computer Vision and Pattern Recognition · 2011
1,121
cited
Deep learning-enabled medical computer vision
npj Digital Medicine · 2021
1,027
cited
End-to-End Learning of Action Detection from Frame Glimpses in Videos
Computer Vision and Pattern Recognition · 2015
622
cited
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Neural Information Processing Systems · 2022
612
cited
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition
IEEE International Conference on Computer Vision · 2021
468
cited
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
International Journal of Computer Vision · 2015
456
cited
Dynamic Task Prioritization for Multitask Learning
European Conference on Computer Vision · 2018
438
cited
Personalized Federated Learning with First Order Model Optimization
International Conference on Learning Representations · 2020
383
cited
Self-supervised learning for medical image classification: a systematic review and implementation guidelines
npj Digit. Medicine · 2023
367
cited
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2018
296
cited
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
arXiv.org · 2018
221
cited
Towards Viewpoint Invariant 3D Human Pose Estimation
European Conference on Computer Vision · 2016
174
cited
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2018
149
cited
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
npj Digital Medicine · 2022
148
cited
DataPerf: Benchmarks for Data-Centric AI Development
Neural Information Processing Systems · 2022
129
cited
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
npj Digital Medicine · 2019
108
cited
Neural Graph Matching Networks for Fewshot 3D Action Recognition
European Conference on Computer Vision · 2018
108
cited
PROB: Probabilistic Objectness for Open World Object Detection
Computer Vision and Pattern Recognition · 2022
97
cited
Hyperbolic Deep Learning in Computer Vision: A Survey
International Journal of Computer Vision · 2023
90
cited
Bedside Computer Vision - Moving Artificial Intelligence from Driver Assistance to Patient Safety.
New England Journal of Medicine · 2018
89
cited
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Serena Yeung | Researcher Profile | Sotabase | Sotabase