Bing Cao
17 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Deep Learning
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Computer Vision
(10)
Learning Types Β· Deep Learning
(8)
Learning Types Β· Machine Learning
(7)
Processing
(7)
Artificial Intelligence
(6)
Application Areas
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Core AI
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Core Methods
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Optimization & Theory
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Keywords
image fusion
(6)
multimodal learning
(5)
modality imbalance
(2)
few-shot learning
(2)
image restoration
(2)
prompt learning
(2)
clip model
(2)
mixture of expert
(2)
self-supervised learning
(2)
infrared imaging
(2)
generalization error
(2)
object tracking
(1)
domain adaptation
(1)
test-time adaptation
(1)
transfer learning
(1)
multi-task learning
(1)
conditional mutual information
(1)
image generation
(1)
optical flow
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feature representation
(1)
Papers
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion
AAAI 2026
Reconcile Gradient Modulation for Harmony Multimodal Learning
AAAI 2026
Asymmetric Reinforcing Against Multi-Modal Representation Bias
AAAI 2025
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
ICLR 2025
Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition
ICCV 2025
Bi-directional Adapter for Multimodal Tracking
AAAI 2024
Conditional Controllable Image Fusion
NeurIPS 2024
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
IJCAI 2024
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
CVPR 2024
Predictive Dynamic Fusion
ICML 2024
Task-Customized Mixture of Adapters for General Image Fusion
CVPR 2024
Test-Time Dynamic Image Fusion
NeurIPS 2024
Visible and Clear: Finding Tiny Objects in Difference Map
ECCV 2024
Multi-Modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion
ICCV 2023
Semantic-Shape Adaptive Feature Modulation for Semantic Image Synthesis
CVPR 2022
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
AAAI 2020
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition
IJCAI 2019