Sanqing Qu
11 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (32) 🤝 Dynamic Duo (11)
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Machine Learning
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Deep Learning
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Application Areas
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Artificial Intelligence
(4)
Computer Vision
(4)
Learning Types · Machine Learning
(4)
Analysis
(3)
Core Methods
(3)
Learning Types · Deep Learning
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Core AI
(2)
Learning Paradigms
(2)
Processing
(2)
Security & Privacy
(1)
Architectures
(1)
Domain-Specific
(1)
Keywords
source-free domain adaptation
(3)
universal domain adaptation
(2)
feature learning
(1)
domain generalization
(1)
transfer learning
(1)
domain adaptation
(1)
point cloud registration
(1)
sensor fusion
(1)
event camera
(1)
frame interpolation
(1)
feature extraction
(1)
multimodal learning
(1)
point cloud
(1)
3d vision
(1)
few-shot learning
(1)
deep learning
(1)
corruption robustness
(1)
orthogonal decomposition
(1)
model pruning
(1)
representation learning
(1)
Papers
RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions
CVPR 2025
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
IJCAI 2024
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
ECCV 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
CVPR 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
CVPR 2024
Modality-Agnostic Debiasing for Single Domain Generalization
CVPR 2023
TMA: Temporal Motion Aggregation for Event-based Optical Flow
ICCV 2023
Upcycling Models Under Domain and Category Shift
CVPR 2023
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation
ECCV 2022
HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration
ICCV 2021
PointINet: Point Cloud Frame Interpolation Network
AAAI 2021