Serena Yeung

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

Achievements

+10 more ↓

🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🧬 Topic Evolution 👥 Mega-Team (47) 🗃️ Keyword Collector (126) 🚀 Conference Pioneer 📈 Trend Setter 💎 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