Chen-Nee Chuah
8 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
Top co-authors
Research topics
Machine Learning
(4)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Computer Vision
(2)
Deep Learning
(2)
Core AI
(2)
Interdisciplinary
(1)
Analysis
(1)
Cognitive Science
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
vision-language model
(2)
unsupervised domain adaptation
(2)
transfer learning
(2)
semi-supervised learning
(1)
domain generalization
(1)
pose estimation
(1)
human perception
(1)
curriculum learning
(1)
medical imaging
(1)
knowledge distillation
(1)
source-free domain adaptation
(1)
person re-identification
(1)
class imbalance
(1)
disentangled representation
(1)
imbalanced learning
(1)
multimodal large language model
(1)
domain shift
(1)
image anonymization
(1)
consistency loss
(1)
adaptive weighting
(1)
Papers
Composite-Attribute Person Re-Identification via Pose-Guided Disentanglement
CVPR 2026
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
WACV 2026
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data
ECCV 2024
Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models
WACV 2024
PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
ICML 2024
VeCLIP: Improving CLIP Training via Visual-enriched Captions
ECCV 2024
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation
ICCV 2023
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
ICML 2022