Dadong Wang
12 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (28) π Conference Polyglot (6)
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Cross-Pollinator
(10)
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Keyword Champion
(3)
ποΈ
Keyword Collector
(55)
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Century Club
(12)
β‘
Prolific Year
(7)
Conferences
CVPR (5)
ICLR (2)
NIPS (2)
ICCV (1)
MICCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
audio-visual segmentation
(3)
semantic segmentation
(2)
representation learning
(2)
multimodal learning
(2)
contrastive learning
(2)
label noise
(2)
domain adaptation
(1)
privacy preservation
(1)
domain generalization
(1)
data augmentation
(1)
early stopping
(1)
self-supervised learning
(1)
video restoration
(1)
video recovery
(1)
noisy label learning
(1)
modality alignment
(1)
intellectual property
(1)
audio-visual correspondence
(1)
video segmentation
(1)
feature learning
(1)
Papers
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation
WACV 2025
Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics
CVPR 2025
Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment
CVPR 2025
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
CVPR 2025
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
ICLR 2025
UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution
MICCAI 2025
Blind Bitstream-corrupted Video Recovery via Metadata-guided Diffusion Model
CVPR 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
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
NIPS 2023
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
ICCV 2023
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
NIPS 2022