Zhiqiang Tang

Orcid: 0000-0003-0710-3056

Affiliations:
  • Rutgers University, Department of Computer Science, New Brunswick, NJ, USA


According to our database1, Zhiqiang Tang authored at least 15 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
Learning Multimodal Data Augmentation in Feature Space.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Are Multimodal Models Robust to Image and Text Perturbations?
CoRR, 2022

Visual Prompt Tuning for Test-time Domain Adaptation.
CoRR, 2022

2021
SelfNorm and CrossNorm for Out-of-Distribution Robustness.
CoRR, 2021

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training.
Proceedings of the Information Processing in Medical Imaging, 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Towards Efficient U-Nets: A Coupled and Quantized Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

OnlineAugment: Online Data Augmentation with Less Domain Knowledge.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.
CoRR, 2019

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AdaTransform: Adaptive Data Transformation.
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.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization.
Proceedings of the Computer Vision - ECCV 2018, 2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CU-Net: Coupled U-Nets.
Proceedings of the British Machine Vision Conference 2018, 2018


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