Kang Zhang

According to our database, Kang Zhang authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Understanding Dual BN In Hybrid Adversarial Training.

Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon

CoRR, 2024

Cross-view Masked Diffusion Transformers for Person Image Synthesis.

Trung X. Pham, Kang Zhang, Chang D. Yoo

CoRR, 2024

2023

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

Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang

CoRR, 2023

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

Axi Niu, Trung Xuan Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang

CoRR, 2023

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

Axi Niu, Kang Zhang, Trung X. Pham, Pei Wang, Jinqiu Sun, In So Kweon, Yanning Zhang

CoRR, 2023

Self-Supervised Visual Representation Learning via Residual Momentum.

Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo

IEEE Access, 2023

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution.

Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Self-Supervised Visual Representation Learning via Residual Momentum.

Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo

CoRR, 2022

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

Trung Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo

CoRR, 2022

A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond.

Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, Kang Zhang, In So Kweon

CoRR, 2022

Understanding and Improving Group Normalization.

Agus Gunawan, Xu Yin, Kang Zhang

CoRR, 2022

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

Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon

CoRR, 2022

How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning.

Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon

Proceedings of the Tenth International Conference on Learning Representations, 2022

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness.

Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon

Proceedings of the Computer Vision - ECCV 2022, 2022

Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.

Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Investigating Top-k White-Box and Transferable Black-box Attack.

Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On the Effect of Training Convolution Neural Network for Millimeter-Wave Radar-Based Hand Gesture Recognition.

Kang Zhang, Shengchang Lan, Guiyuan Zhang

Sensors, 2021