Chongzhi Zhang

According to our database, Chongzhi Zhang authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Large Motion Model for Unified Multi-Modal Motion Generation.

Mingyuan Zhang, Daisheng Jin, Chenyang Gu, Fangzhou Hong, Zhongang Cai, Jingfang Huang, Chongzhi Zhang, Xinying Guo, Lei Yang, Ying He, Ziwei Liu

CoRR, 2024

Conditional Logical Message Passing Transformer for Complex Query Answering.

Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Qianli Ma

CoRR, 2024

Balancing the Causal Effects in Class-Incremental Learning.

Junhao Zheng, Ruiyan Wang, Chongzhi Zhang, Huawen Feng, Qianli Ma

CoRR, 2024

Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization.

Chongzhi Zhang, Mingyuan Zhang, Zhiyang Teng, Jiayi Li, Xizhou Zhu, Lewei Lu, Ziwei Liu, Aixin Sun

CoRR, 2024

2022

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts.

Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu

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

2021

Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity.

Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

IEEE Trans. Image Process., 2021

Progressive Diversified Augmentation for General Robustness of DNNs: A Unified Approach.

Hang Yu, Aishan Liu, Gengchao Li, Jichen Yang, Chongzhi Zhang

IEEE Trans. Image Process., 2021

Training Robust Deep Neural Networks via Adversarial Noise Propagation.

Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, Dacheng Tao

IEEE Trans. Image Process., 2021

Understanding adversarial robustness via critical attacking route.

Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie

Inf. Sci., 2021

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts.

Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu

CoRR, 2021

Towards Overcoming False Positives in Visual Relationship Detection.

Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Zhoujun Li

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Towards Overcoming False Positives in Visual Relationship Detection.

Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li

CoRR, 2020

Patch Attack for Automatic Check-out.

Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu

CoRR, 2020

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out.

Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Training Robust Deep Neural Networks via Adversarial Noise Propagation.

Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He

CoRR, 2019

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity.

Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

CoRR, 2019

Towards Noise-Robust Neural Networks via Progressive Adversarial Training.

Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang

CoRR, 2019