# Serena Yeung

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/serena-yeung/

## Facts

| Field | Value |
| --- | --- |
| Citations | 7,575 |
| Field | Human Pose and Action Recognition |
| h-index | 34 |
| i10-index | 49 |
| Last Known Institution | University of British Columbia |
| OpenAlex ID | https://openalex.org/A5081511803 |
| ORCID iD | 0000-0003-0529-0628 |
| Works | 152 |

## Researcher papers

- [Deep learning-enabled medical computer vision](https://scholariq.org/papers/deep-learning-enabled-medical-computer-vision/)
- [Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis](https://scholariq.org/papers/learning-hierarchical-invariant-spatio-temporal-features-for-action-recognition/)
- [End-to-End Learning of Action Detection from Frame Glimpses in Videos](https://scholariq.org/papers/end-to-end-learning-of-action-detection-from-frame-glimpses-in-videos/)
- [Self-supervised learning for medical image classification: a systematic review and implementation guidelines](https://scholariq.org/papers/self-supervised-learning-for-medical-image-classification-a-systematic-review/)
- [GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition](https://scholariq.org/papers/gloria-a-multimodal-global-local-representation-learning-framework-for-label/)
- [Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos](https://scholariq.org/papers/every-moment-counts-dense-detailed-labeling-of-actions-in-complex-videos/)
- [Dynamic Task Prioritization for Multitask Learning](https://scholariq.org/papers/dynamic-task-prioritization-for-multitask-learning/)
- [Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks](https://scholariq.org/papers/tool-detection-and-operative-skill-assessment-in-surgical-videos-using-region/)
- [Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials](https://scholariq.org/papers/prostate-cancer-therapy-personalization-via-multi-modal-deep-learning-on/)
- [Towards Viewpoint Invariant 3D Human Pose Estimation](https://scholariq.org/papers/towards-viewpoint-invariant-3d-human-pose-estimation/)
- [Using AI and computer vision to analyze technical proficiency in robotic surgery](https://scholariq.org/papers/using-ai-and-computer-vision-to-analyze-technical-proficiency-in-robotic-surgery/)

## Researcher topics

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Researcher university

- [University of British Columbia](https://scholariq.org/institutions/university-of-british-columbia/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.