Zhiqiang Tang

According to our database, Zhiqiang Tang authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift.

Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

J. Data-centric Mach. Learn. Res., 2024

2023

Learning Multimodal Data Augmentation in Feature Space.

Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Are Multimodal Models Robust to Image and Text Perturbations?

Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

CoRR, 2022

Visual Prompt Tuning for Test-time Domain Adaptation.

Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas

CoRR, 2022

2021

SelfNorm and CrossNorm for Out-of-Distribution Robustness.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

CoRR, 2021

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training.

Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas

Proceedings of the Information Processing in Medical Imaging, 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Towards Efficient U-Nets: A Coupled and Quantized Approach.

Zhiqiang Tang, Xi Peng, Kang Li, Dimitris N. Metaxas

IEEE Trans. Pattern Anal. Mach. Intell., 2020

OnlineAugment: Online Data Augmentation with Less Domain Knowledge.

Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

CoRR, 2019

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AdaTransform: Adaptive Data Transformation.

Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution.

Rahil Mehrizi, Xi Peng, Zhiqiang Tang, Xu Xu, Dimitris N. Metaxas, Kang Li

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization.

Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2018, 2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation.

Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CU-Net: Coupled U-Nets.

Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas

Proceedings of the British Machine Vision Conference 2018, 2018