Badong Chen
13 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Machine Learning
(8)
Computer Vision
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Analysis
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Artificial Intelligence
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Deep Learning
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Core AI
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Core Methods
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Reinforcement Learning
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mutual information
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reinforcement learning
(1)
scene graph generation
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metric learning
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vision transformer
(1)
policy optimization
(1)
computer vision
(1)
information bottleneck
(1)
label propagation
(1)
similarity learning
(1)
object detection
(1)
attention mechanism
(1)
person re-identification
(1)
unsupervised domain adaptation
(1)
image segmentation
(1)
illumination invariance
(1)
shadow detection
(1)
prompt learning
(1)
scene graph
(1)
multi-agent reinforcement learning
(1)
Papers
Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency
ICLR 2025
Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation
CoRL 2025
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
ICML 2025
Jacobian Regularizer-based Neural Granger Causality
ICML 2024
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration
NeurIPS 2024
Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation
ECCV 2024
Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
AAAI 2024
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
ECCV 2024
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
CVPR 2024
Soft Prompt Generation for Domain Generalization
ECCV 2024
Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features
AAAI 2023
Similarity Learning With Spatial Constraints for Person Re-Identification
CVPR 2016
Illumination Robust Color Naming via Label Propagation
ICCV 2015