Michelle Shu
7 papers · 2018–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(31)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Computer Vision
(6)
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Analysis
(4)
Learning Types · Machine Learning
(4)
Core AI
(3)
Core Methods
(3)
Processing
(3)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Architectures
(1)
Domain-Specific
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
semantic segmentation
(3)
convolutional neural network
(2)
object detection
(2)
image segmentation
(1)
image generation
(1)
human analysis
(1)
few-shot learning
(1)
scene text detection
(1)
prototype learning
(1)
medical imaging
(1)
context-aware learning
(1)
model evaluation
(1)
video understanding
(1)
hand pose estimation
(1)
instance segmentation
(1)
referring expression
(1)
embedding learning
(1)
clinical prediction
(1)
context modeling
(1)
metric learning
(1)
Papers
Generalized Few-Shot Semantic Segmentation
CVPR 2022
Deep Survival Analysis With Longitudinal X-Rays for COVID-19
ICCV 2021
Identifying Model Weakness with Adversarial Examiner
AAAI 2020
Understanding Human Hands in Contact at Internet Scale
CVPR 2020
Learning Shape-Aware Embedding for Scene Text Detection
CVPR 2019
Facelet-Bank for Fast Portrait Manipulation
CVPR 2018
Referring Image Segmentation via Recurrent Refinement Networks
CVPR 2018