Yan Luo
12 papers · 2015–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(8)
Computer Vision
(7)
Deep Learning
(4)
Application Areas
(4)
Domain-Specific
(4)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Analysis
(2)
Core AI
(2)
Processing
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
transfer learning
(2)
domain adaptation
(2)
medical imaging
(2)
semi-supervised learning
(1)
online learning
(1)
domain generalization
(1)
multi-task learning
(1)
confidence calibration
(1)
video understanding
(1)
anomaly detection
(1)
visual saliency
(1)
optimal transport
(1)
self-supervised learning
(1)
multimodal learning
(1)
attention mechanism
(1)
uncertainty modeling
(1)
vision transformer
(1)
pedestrian detection
(1)
image classification
(1)
representation learning
(1)
Papers
FairCLIP: Harnessing Fairness in Vision-Language Learning
CVPR 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
ECCV 2024
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
ICLR 2024
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
ICCV 2023
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
ICCV 2023
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition
IJCAI 2022
Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure
ECCV 2022
Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding
CVPR 2021
Learning to Predict Trustworthiness with Steep Slope Loss
NeurIPS 2021
n-Reference Transfer Learning for Saliency Prediction
ECCV 2020
Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection
CVPR 2020
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction
CVPR 2015