Jiangtao Xie

According to our database, Jiangtao Xie authored at least 19 papers between 2017 and 2025.

Collaborative distances:

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

2025

DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data.

Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu

CoRR, April, 2025

Asymmetric Factorized Bilinear Operation for Vision Transformer.

Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations.

Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations.

Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Bo Zhao, Xi Chen, Hui Xiong

CoRR, 2024

2023

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective.

Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022

Detachable Second-Order Pooling: Toward High-Performance First-Order Networks.

Lida Li, Jiangtao Xie, Peihua Li, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

DropCov: A Simple yet Effective Method for Improving Deep Architectures.

Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification.

Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li

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

2021

Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization.

Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

3rd Place Solution for Short-video Face Parsing Challenge.

Xiao Liu, Xiaofei Si, Jiangtao Xie

CoRR, 2021

So-ViT: Mind Visual Tokens for Vision Transformer.

Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li

CoRR, 2021

Three-stage super-efficiency DEA models based on the cooperative game and its application on the R&D green innovation of the Chinese high-tech industry.

Xiaoqing Chen, Xinwang Liu, Zaiwu Gong, Jiangtao Xie

Comput. Ind. Eng., 2021

Binocular Mutual Learning for Improving Few-shot Classification.

Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang

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

2019

As-Built BIM for a Fifteenth-Century Chinese Brick Structure at Various LoDs.

Zheng Sun, Jiangtao Xie, Yingying Zhang, Yongkang Cao

ISPRS Int. J. Geo Inf., 2019

Global Second-Order Pooling Convolutional Networks.

Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks.

Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization.

Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao

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

2017

Is Second-Order Information Helpful for Large-Scale Visual Recognition?

Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Convolutional Features for Iris Recognition.

Xingqiang Tang, Jiangtao Xie, Peihua Li

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017