Dou Quan
8 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
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Research topics
Machine Learning
(6)
Computer Vision
(4)
Deep Learning
(3)
Analysis
(3)
Application Areas
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Architectures
(1)
Core AI
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
semantic segmentation
(3)
metric learning
(1)
feature learning
(1)
domain generalization
(1)
domain adaptation
(1)
change detection
(1)
signal classification
(1)
image retrieval
(1)
self-supervised learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
source-free domain adaptation
(1)
unsupervised domain adaptation
(1)
model adaptation
(1)
remote sensing
(1)
vision foundation model
(1)
satellite imagery
(1)
feature distillation
(1)
pretext task
(1)
triplet loss
(1)
Papers
Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation
CVPR 2026
Feature Spectrum Learning for Remote Sensing Change Detection
CVPR 2025
Predicting Spectral Information for Self-Supervised Signal Classification
IJCAI 2025
Watching it in Dark: A Target-aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination
ECCV 2024
Learning Pseudo-Relations for Cross-domain Semantic Segmentation
ICCV 2023
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation
CVPR 2023
AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching
ICCV 2019
Better and Faster: Exponential Loss for Image Patch Matching
ICCV 2019