Serena Yeung
27 papers · 2016–2024 · 9 venues · across top CS/AI venues
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(6)
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Research topics
Machine Learning
(17)
Computer Vision
(15)
Deep Learning
(13)
Learning Types Β· Machine Learning
(12)
Artificial Intelligence
(10)
Analysis
(10)
Domain-Specific
(7)
Learning Types Β· Deep Learning
(7)
Architectures
(6)
Core AI
(6)
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(6)
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(3)
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(3)
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(2)
Models
(2)
Keywords
multimodal learning
(5)
contrastive learning
(3)
zero-shot learning
(3)
3d vision
(3)
neural field
(2)
action recognition
(2)
domain adaptation
(2)
representation learning
(2)
activity recognition
(2)
transfer learning
(2)
3d reconstruction
(2)
vision-language model
(2)
reinforcement learning
(2)
self-supervised learning
(2)
medical imaging
(2)
object detection
(2)
modality gap
(2)
few-shot learning
(1)
multi-task learning
(1)
q-learning
(1)
Papers
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
ICLR 2024
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
ACL 2023
DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
Diagnosing and Rectifying Vision Models using Language
ICLR 2023
Generalizable Neural Fields as Partially Observed Neural Processes
ICCV 2023
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms
NeurIPS 2023
LOVM: Language-Only Vision Model Selection
NeurIPS 2023
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action
CVPR 2023
PROB: Probabilistic Objectness for Open World Object Detection
CVPR 2023
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments
MLHC 2023
Video pretraining advances 3D deep learning on chest CT tasks
MIDL 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
NeurIPS 2022
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
NeurIPS 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
Holistic 3D Human and Scene Mesh Estimation From Single View Images
CVPR 2021
Personalized Federated Learning with First Order Model Optimization
ICLR 2021
Staying in shape: learning invariant shape representations using contrastive learning
UAI 2021
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
CVPR 2021
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities
MLHC 2018
Dynamic Task Prioritization for Multitask Learning
ECCV 2018
Neural Graph Matching Networks for Fewshot 3D Action Recognition
ECCV 2018
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos
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