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ORCIDAxi Niu
Publications
- 2025
[j10]Axi Niu
, Kang Zhang, Trung Xuan Pham, Pei Wang, Jinqiu Sun, In So Kweon, Yanning Zhang:
Learning From Multi-Perception Features for Real-Word Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 35(7): 6535-6548 (2025)- [i14]Kang Zhang, Trung X. Pham, Suyeon Lee, Axi Niu, Arda Senocak, Joon Son Chung:
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation. CoRR abs/2510.24103 (2025) - 2024
- [j5]Axi Niu, Trung X. Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, Qingsen Yan, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. IEEE Trans. Broadcast. 70(2): 492-504 (2024) - [j4]Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024) - [i13]Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR abs/2403.19150 (2024) - 2023
- [j3]Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access 11: 116706-116720 (2023) - [c3]Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. ICIP 2023: 615-619 - [i12]Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. CoRR abs/2302.12831 (2023) - [i10]Axi Niu, Kang Zhang, Trung X. Pham, Pei Wang, Jinqiu Sun, In So Kweon, Yanning Zhang:
Learning from Multi-Perception Features for Real-Word Image Super-resolution. CoRR abs/2305.18547 (2023) - [i9]Axi Niu, Trung Xuan Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. CoRR abs/2307.00781 (2023) - [i7]Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang:
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. CoRR abs/2311.18508 (2023) - 2022
- [c2]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR 2022: 14421-14430 - [c1]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. ECCV (30) 2022: 725-742 - [i6]Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon:
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR abs/2202.05488 (2022) - [i5]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR abs/2203.17248 (2022) - [i4]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. CoRR abs/2207.10899 (2022) - [i3]Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo:
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR abs/2208.05744 (2022) - [i2]Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. CoRR abs/2211.09861 (2022)
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