Hu Wang
18 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (41)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(77)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Computer Vision
(7)
Core Methods
(6)
Artificial Intelligence
(5)
Core AI Β· Artificial Intelligence
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Architectures
(4)
Analysis
(3)
Domain-Specific
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Applications
(2)
Core AI Β· Computer Vision
(2)
Keywords
multimodal learning
(3)
medical image segmentation
(2)
audio-visual learning
(2)
semantic segmentation
(2)
multi-label classification
(2)
domain adaptation
(1)
knowledge distillation
(1)
transfer learning
(1)
medical imaging
(1)
noisy label learning
(1)
vision transformer
(1)
data augmentation
(1)
anomaly detection
(1)
image captioning
(1)
autonomous driving
(1)
image restoration
(1)
metric learning
(1)
cross-modal learning
(1)
image reconstruction
(1)
contrastive learning
(1)
Papers
DuPLUS: Dual-Prompt Vision-Language Model for Universal Medical Image Segmentation and Prognosis
WACV 2026
Polyphony: Diffusion-based Dual-Hand Action Segmentation with Alternating Vision Transformer and Semantic Conditioning
CVPR 2026
TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model
CVPR 2026
A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification
WACV 2025
Explicit and Implicit Data Augmentation for Social Event Detection
ACL 2025
High Dynamic Range Novel View Synthesis with Single Exposure
ICML 2025
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation
ECCV 2024
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
ECCV 2024
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation
AAAI 2024
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
CVPR 2024
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
ICCV 2023
Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling
CVPR 2023
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction
IJCAI 2022
M$^4$I: Multi-modal Models Membership Inference
NeurIPS 2022
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction
ECCV 2022
Memory-Gated Recurrent Networks
AAAI 2021
Soft Expert Reward Learning for Vision-and-Language Navigation
ECCV 2020
Unsupervised Representation Learning by Predicting Random Distances
IJCAI 2020