Yaohua Zha
12 papers · 2023–2026 · 5 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (12) ⚡ Prolific Year · Productive
💎
Century Club · Bronze
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Computer Vision
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Artificial Intelligence
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Keywords
point cloud
(5)
transfer learning
(3)
self-supervised learning
(2)
3d vision
(2)
3d representation
(2)
image restoration
(2)
vision-language model
(2)
scene understanding
(1)
model architecture
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computer vision
(1)
cross-domain learning
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feature extraction
(1)
video understanding
(1)
point cloud analysis
(1)
image processing
(1)
adaptive sampling
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parameter-efficient learning
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state space model
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diffusion model
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temporal dynamics
(1)
Papers
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
AAAI 2026
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
CVPR 2025
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
AAAI 2025
MambaIRv2: Attentive State Space Restoration
CVPR 2025
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
CVPR 2025
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
IJCAI 2025
Invertible Residual Rescaling Models
IJCAI 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
NeurIPS 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NeurIPS 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
AAAI 2024
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
ICCV 2023