Axi Niu

Orcid: 0000-0001-5238-9917

According to our database1, Axi Niu authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Redundant-Coded Masked Grid Pattern for Full-Sky Star Identification.
IEEE Trans. Aerosp. Electron. Syst., August, 2024

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution.
IEEE Trans. Broadcast., June, 2024

KGSR: A kernel guided network for real-world blind super-resolution.
Pattern Recognit., March, 2024

GRAN: ghost residual attention network for single image super resolution.
Multim. Tools Appl., March, 2024

Towards Understanding Dual BN In Hybrid Adversarial Training.
Trans. Mach. Learn. Res., 2024

Dynamic center point learning for multiple object tracking under Severe occlusions.
Knowl. Based Syst., 2024

Multiple Object Tracking Based on Occlusion-Aware Embedding Consistency Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution.
CoRR, 2023

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution.
CoRR, 2023

Learning from Multi-Perception Features for Real-Word Image Super-resolution.
CoRR, 2023

Self-Supervised Visual Representation Learning via Residual Momentum.
IEEE Access, 2023

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
MS2Net: Multi-Scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2022

Self-Supervised Visual Representation Learning via Residual Momentum.
CoRR, 2022

On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning.
CoRR, 2022

Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation.
CoRR, 2022

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness.
Proceedings of the Computer Vision - ECCV 2022, 2022

Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Non-uniform motion deblurring with blurry component divided guidance.
Pattern Recognit., 2021


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