Zhongqi Yue

papers

1,015

total citations

papers (13)

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

CVPR 2023arXiv

125

citations

Self-Supervised Learning Disentangled Group Representation as Feature

NEURIPS 2021arXiv

citations

Transporting Causal Mechanisms for Unsupervised Domain Adaptation

ICCV 2021arXiv

citations

Random Boxes Are Open-world Object Detectors

ICCV 2023arXiv

citations

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation

NEURIPS 2023arXiv

citations

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens

CVPR 2025arXiv

citations

Invariant Feature Regularization for Fair Face Recognition

ICCV 2023arXiv

citations

Few-shot Learner Parameterization by Diffusion Time-steps

CVPR 2024arXiv

citations

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program

ICCV 2025arXiv

citations

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness

ICCV 2025arXiv

citations

Zhongqi Yue

papers (13)

Interventional Few-Shot Learning

Counterfactual Zero-Shot and Open-Set Visual Recognition

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

Self-Supervised Learning Disentangled Group Representation as Feature

Transporting Causal Mechanisms for Unsupervised Domain Adaptation

Random Boxes Are Open-world Object Detectors

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens

Invariant Feature Regularization for Fair Face Recognition

Few-shot Learner Parameterization by Diffusion Time-steps

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness

papers (13)

Interventional Few-Shot Learning

Counterfactual Zero-Shot and Open-Set Visual Recognition

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

Self-Supervised Learning Disentangled Group Representation as Feature

Transporting Causal Mechanisms for Unsupervised Domain Adaptation

Random Boxes Are Open-world Object Detectors

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens

Invariant Feature Regularization for Fair Face Recognition

Few-shot Learner Parameterization by Diffusion Time-steps

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness