Rethinking Oversaturation in Classifier-Free Guidance via Low Frequency.
CoRR, June, 2025
Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Test-time Alignment-Enhanced Adapter for Vision-Language Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Leveraging Previous Steps: A Training-free Fast Solver for Flow Diffusion.
CoRR, 2024
Unraveling the Connections between Flow Matching and Diffusion Probabilistic Models in Training-free Conditional Generation.
CoRR, 2024
Fisher Information Improved Training-Free Conditional Diffusion Model.
CoRR, 2024
DNAF: Diffusion with Noise-Aware Feature for Pose-Guided Person Image Synthesis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
MALIP: Improving Few-Shot Image Classification with Multimodal Fusion Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Target to Source: Guidance-Based Diffusion Model for Test-Time Adaptation.
CoRR, 2023
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model.
CoRR, 2023
Monocular Visual-Inertial Odometry for Agricultural Environments.
IEEE Access, 2022
Mutual information based Bayesian graph neural network for few-shot learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020