Dadong Wang
12 papers · 2022–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (31) 💎 Century Club · Bronze 📈 Trend Setter
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Keyword Collector
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Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Computer Vision
(5)
Deep Learning
(5)
Core AI · Artificial Intelligence
(5)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Analysis
(3)
Learning Types · Deep Learning
(3)
Architectures
(2)
Core AI · Computer Vision
(2)
Core Methods
(2)
Processing
(2)
Natural Language Processing
(1)
Security & Privacy
(1)
Keywords
audio-visual segmentation
(3)
contrastive learning
(3)
representation learning
(2)
data augmentation
(2)
multimodal learning
(2)
semantic segmentation
(2)
label noise
(2)
ordinal regression
(1)
self-supervised learning
(1)
domain generalization
(1)
noisy label learning
(1)
modality alignment
(1)
in-context learning
(1)
video segmentation
(1)
video recovery
(1)
visual saliency
(1)
video restoration
(1)
intellectual property
(1)
privacy preservation
(1)
domain adaptation
(1)
Papers
Blind Bitstream-corrupted Video Recovery via Metadata-guided Diffusion Model
CVPR 2025
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
ICLR 2025
Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics
CVPR 2025
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation
WACV 2025
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
CVPR 2025
Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment
CVPR 2025
UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution
MICCAI 2025
Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos
CVPR 2024
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
ICLR 2024
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
ICCV 2023
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
NeurIPS 2023
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
NeurIPS 2022