← Authors

Serena Yeung

27 papers · 2016–2024 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (58) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🧬 Topic Evolution πŸ‘₯ Mega-Team (47) πŸ—ƒοΈ Keyword Collector (126) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (27) ⚑ Prolific Year (10)

Conferences

CVPR (8) NIPS (5) ECCV (3) ICLR (3) MLHC (3) ICCV (2) ACL (1) MIDL (1) UAI (1)

Top co-authors

Li Fei-fei (7) Shih-Cheng Huang (5) Kuan-Chieh Wang (5) Yuhui Zhang (4) Jeffrey Gu (4) Michelle Guo (3) Edward Chou (3) De-An Huang (3) Zhenzhen Weng (3) Joy Hsu (2)

Keywords

3d vision (3) multimodal learning (3) action recognition (2) 3d reconstruction (2) contrastive learning (2) zero-shot learning (2) object detection (2) domain adaptation (2) activity recognition (2) neural field (2) self-supervised learning (2) medical imaging (2) reinforcement learning (2) transfer learning (2) benchmark suite (1) model selection (1) active learning (1) few-shot learning (1) noisy label learning (1) semi-supervised learning (1)

Papers

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data ICLR 2024
Diagnosing and Rectifying Vision Models using Language ICLR 2023
Generalizable Neural Fields as Partially Observed Neural Processes ICCV 2023
LOVM: Language-Only Vision Model Selection NIPS 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ACL 2023
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments MLHC 2023
PROB: Probabilistic Objectness for Open World Object Detection CVPR 2023
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms NIPS 2023
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action CVPR 2023
Video pretraining advances 3D deep learning on chest CT tasks MIDL 2023
DataPerf: Benchmarks for Data-Centric AI Development NIPS 2023
ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images MLHC 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning NIPS 2022
Staying in shape: learning invariant shape representations using contrastive learning UAI 2021
Holistic 3D Human and Scene Mesh Estimation From Single View Images CVPR 2021
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision CVPR 2021
DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images CVPR 2021
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition ICCV 2021
Personalized Federated Learning with First Order Model Optimization ICLR 2021
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations NIPS 2021
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities MLHC 2018
Dynamic Task Prioritization for Multitask Learning ECCV 2018
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos ECCV 2018
Neural Graph Matching Networks for Fewshot 3D Action Recognition ECCV 2018
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals CVPR 2017
Learning to Learn From Noisy Web Videos CVPR 2017
End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016