Serena Yeung
Serena Yeung
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Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
QV Le, WY Zou, SY Yeung, AY Ng
CVPR 2011, 3361-3368, 2011
End-to-end learning of action detection from frame glimpses in videos
S Yeung, O Russakovsky, G Mori, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Deep learning-enabled medical computer vision
A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ...
NPJ digital medicine 4 (1), 5, 2021
Every moment counts: Dense detailed labeling of actions in complex videos
S Yeung, O Russakovsky, N Jin, M Andriluka, G Mori, L Fei-Fei
International Journal of Computer Vision 126, 375-389, 2018
Dynamic task prioritization for multitask learning
M Guo, A Haque, DA Huang, S Yeung, L Fei-Fei
Proceedings of the European conference on computer vision (ECCV), 270-287, 2018
Tool detection and operative skill assessment in surgical videos using region-based convolutional neural networks
A Jin, S Yeung, J Jopling, J Krause, D Azagury, A Milstein, L Fei-Fei
2018 IEEE winter conference on applications of computer vision (WACV), 691-699, 2018
Towards viewpoint invariant 3d human pose estimation
A Haque, B Peng, Z Luo, A Alahi, S Yeung, L Fei-Fei
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Personalized federated learning with first order model optimization
M Zhang, K Sapra, S Fidler, S Yeung, JM Alvarez
arXiv preprint arXiv:2012.08565, 2020
Faster cryptonets: Leveraging sparsity for real-world encrypted inference
E Chou, J Beal, D Levy, S Yeung, A Haque, L Fei-Fei
arXiv preprint arXiv:1811.09953, 2018
Scaling human-object interaction recognition through zero-shot learning
L Shen, S Yeung, J Hoffman, G Mori, L Fei-Fei
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1568-1576, 2018
Bedside computer vision-moving artificial intelligence from driver assistance to patient safety
S Yeung, NL Downing, L Fei-Fei, A Milstein
N Engl J Med 378 (14), 1271-1273, 2018
Predicting mode of transport from iphone accelerometer data
B Nham, K Siangliulue, S Yeung
Machine Learning Final Projects, Stanford University, 2008
Neural graph matching networks for fewshot 3d action recognition
M Guo, E Chou, DA Huang, S Song, S Yeung, L Fei-Fei
Proceedings of the European conference on computer vision (ECCV), 653-669, 2018
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
S Yeung, F Rinaldo, J Jopling, B Liu, R Mehra, NL Downing, M Guo, ...
NPJ digital medicine 2 (1), 11, 2019
Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
SC Huang, L Shen, MP Lungren, S Yeung
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Temporal modular networks for retrieving complex compositional activities in videos
B Liu, S Yeung, E Chou, DA Huang, L Fei-Fei, JC Niebles
Proceedings of the European Conference on Computer Vision (ECCV), 552-568, 2018
Tackling over-pruning in variational autoencoders
S Yeung, A Kannan, Y Dauphin, L Fei-Fei
arXiv preprint arXiv:1706.03643, 2017
Towards vision-based smart hospitals: a system for tracking and monitoring hand hygiene compliance
A Haque, M Guo, A Alahi, S Yeung, Z Luo, A Rege, J Jopling, L Downing, ...
Machine Learning for Healthcare Conference, 75-87, 2017
Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning
VW Liang, Y Zhang, Y Kwon, S Yeung, JY Zou
Advances in Neural Information Processing Systems 35, 17612-17625, 2022
Videoset: Video summary evaluation through text
S Yeung, A Fathi, L Fei-Fei
arXiv preprint arXiv:1406.5824, 2014
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