Chunyan Miao

papers

1,228

total citations

papers (17)

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

CVPR 2024arXiv

487

citations

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification

CVPR 2023arXiv

citations

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection

CVPR 2021arXiv

citations

Structure-Aware Generation Network for Recipe Generation from Images

ECCV 2020arXiv

citations

Bi-Level Feature Alignment for Versatile Image Translation and Manipulation

ECCV 2022arXiv

citations

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

NEURIPS 2025arXiv

citations

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

AAAI 2024arXiv

citations

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity

ICML 2025arXiv

citations

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

AAAI 2024arXiv

citations

Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification

AAAI 2025arXiv

citations

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

AAAI 2025arXiv

citations

Latent Diffusion Transformer for Probabilistic Time Series Forecasting

AAAI 2024

citations

Chunyan Miao

papers (17)

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Distilling Causal Effect of Data in Class-Incremental Learning

WaveFill: A Wavelet-Based Generation Network for Image Inpainting

Learning to Segment the Tail

Unbalanced Feature Transport for Exemplar-Based Image Translation

Test-Time Model Adaptation with Only Forward Passes

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection

Structure-Aware Generation Network for Recipe Generation from Images

Bi-Level Feature Alignment for Versatile Image Translation and Manipulation

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

Latent Diffusion Transformer for Probabilistic Time Series Forecasting

papers (17)

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Distilling Causal Effect of Data in Class-Incremental Learning

WaveFill: A Wavelet-Based Generation Network for Image Inpainting

Learning to Segment the Tail

Unbalanced Feature Transport for Exemplar-Based Image Translation

Test-Time Model Adaptation with Only Forward Passes

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection

Structure-Aware Generation Network for Recipe Generation from Images

Bi-Level Feature Alignment for Versatile Image Translation and Manipulation

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

Latent Diffusion Transformer for Probabilistic Time Series Forecasting