Jiangtao Xie

Joined

May 2022

Names

Jiangtao Xie (Preferred)

Emails

****@mail.dlut.edu.cn (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

Dalian University of Technology (dlut.edu.cn)

2018 – 2025

Undergrad student

Dalian University of Technology (dlut.edu.cn)

2014 – 2018

Advisors, Relations & Conflicts

Coauthor

Qilong Wang

2018 – 2025

PhD Advisor

Peihua Li

2018 – 2024

Expertise

Multimodal Large Language model

2023 – 2024

Image Classification

2018 – 2022

Publications

Asymmetric Factorized Bilinear Operation for Vision Transformer
Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu
- ICLR 2025 Poster
- Readers: Everyone
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
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 20 Feb 2024
- IEEE Trans. Pattern Anal. Mach. Intell. 2023
- Readers: Everyone
DropCov: A Simple yet Effective Method for Improving Deep Architectures
Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
- Published: 31 Oct 2022, Last Modified: 10 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
DropCov: A Simple yet Effective Method for Improving Deep Architectures
Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
- NeurIPS 2022
- Readers: Everyone
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
- Readers: Everyone
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
- 2022 (modified: 18 Nov 2022)
- CVPR 2022
- Readers: Everyone
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
- 2022 (modified: 18 Nov 2022)
- CoRR 2022
- Readers: Everyone
Binocular Mutual Learning for Improving Few-shot Classification
Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang
- CoRR 2021
- Readers: Everyone

View all 19 publications

Co-Authors

View all 27 co-authors