Fei Xie (谢斐)

Fei Xie (谢斐)

Shanghai Jiaotong Univeristy

I am a Ph.D. student at the Artificial Intelligence Research Institute of Shanghai Jiao Tong University (SJTU). Currently, I am pursuing my Ph.D. degree supervised by Prof. Chao Ma. I come from Ganzhou in Jiangxi province.

Last years, I worked with Prof. Wankou Yang, Prof. Kaihua Zhang, Prof. Wangmeng Zuo, Dr. Chunyu Wang, Dr. Guangting Wang, Prof. Wenjun Zeng, Dr. Lei Chu, and Dr. Jiahao Li. I also work closely with Dr. Zhongdao Wang.

My research interests focus on computer vision and general AI, including visual perception in images and videos. I also have a special interest in multi-modal large language models (MLLM), generative AI (AIGC), and the design of foundation models (Transformer, RNN, and Mamba).

I am expected to graduate in June 2026. If you have any job opportunities available from universities or companies, please contact me.

Tel/wechat:14779773579, Email: jaffe0319@gmail.com

预期26年6月毕业，如果您有高校或企业的教职/研发/博后岗位，请联系我！

个人简历 Resume

🔥 News

  • 2025.06: 🎉 Two papers are accepted by ICCV 2025!
  • 2025.03: 🎉 Congrats to Dr.Nie! One paper is accepted by IJCV!
  • 2025.02: 🎉 One paper is accepted by CVPR 2025!
  • 2024.09: 🎉 One paper is accepted by NeurIPS 2024!
  • 2024.08: 🎉 One paper is accepted by T-PAMI with no changes
  • 2024.07: 🎉 One paper is accepted by ECCV 2024
  • 2024.05: 🎉 One paper is accepted by Pattern Recognition
  • 2024.04: 🎉 One paper gets a “Major Revision” decision from T-PAMI
  • 2024.03: 🎉 One paper is accepted by CVPR 2024
  • 2023.12: 🎉 One paper is accepted by ICLR 2024
  • 2023.03: 🎉 One paper is accepted by CVPR 2023
  • 2022.03: 🎉 One paper is accepted by CVPR 2022
  • 2021.11: 🎉 Two papers are accepted by the ICCV workshop
  • 2021.06: 🎉 Runner ups (2nd &3rd) on VOT2021 challenges.

📝 Publications

Independent First Author in CCF-A List: 4 x CVPR, 1 x T-PAMI, 1 x NeurIPS, 1 x ICCV, 1 x ECCV

Research Topic: Vision Foundation Model;Tracking on Video and Point Clouds

Google Scholar Citation: 1000+

ICCV 2025
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PVMamba: Parallelizing Vision Mamba via Dynamic State Aggregation
Fei Xie, Zhongdao Wang, Weijia Zhang, Chao Ma

  • Adapting Mamba into 2D visual data.
  • CODE.
  • PDF
ICCV 2025
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VRM: Knowledge Distillation via Virtual Relation Matching
Weijia Zhang, Fei Xie, Weidong Cai, Chao Ma

  • Improved knowledge distillation method.
  • Coming soon.
  • PDF
CVPR 2025
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Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
Fei Xie, Jiahao Nie, Yujin Tang, Wenkang Zhang, Hongshen Zhao

  • Specialized Adaptor module design for Vision Mamba.
  • CODE
  • PDF
IJCV
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P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
Jiahao Nie, Fei Xie, Sifan Zhou, Xueyi Zhou, Dong-Kyu Chae, Zhiwei He

  • A simple motion-based single object tracker in point clouds.
  • CODE
  • PDF
NeurIPS 2024
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QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
Fei Xie, Weijia Zhang, Zhongdao Wang, Chao Ma.

  • QuadMamba is a visual Mamba-based backbone network for classification, detection, and segmentation.
  • CODE
  • PDF
T-PAMI
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Correlation-Embedded Transformer Tracking: A Single-Branch Framework
Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng.

  • SuperSBT improves our Single-Branch Tracking framework with a more specialized design.
  • CODE
  • PDF
CVPR 2024
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DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking
Fei Xie, Zhongdao Wang, Chao Ma.

  • DiffusionTrack is the first diffusion-based generative framework for visual object tracking.
  • CODE
  • PDF
ICLR 2024
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Towards Category Unification of 3D Single Object Tracking on Point Clouds
Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie

  • First attempt to track multiple categories in point clouds.
  • CODE
  • PDF
CVPR 2023
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VideoTrack: Learning to Track Objects via Video Transformer
Fei Xie, Lei Chu, Jiahao Li, Yan Lu and Chao Ma.

  • VideoTrack is the first video backbone network for visual tracking.
  • CODE
  • PDF
CVPR 2022
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Correlation-Aware Deep Tracking
Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng.

  • SBT is the first single-branch/one-stream transformer tracker that simplifies the Siamese tracking framework by using joint feature extraction and correlation.
  • CODE
  • PDF
ICCVw 2021
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Learning Tracking Representations via Dual-Branch Fully Transformer Networks
Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng.

  • DualTFR is the first fully transformer-based tracking model that inspires researchers to adopt transformer-based feature extraction for tracking.
  • CODE
  • PDF
ICCVw 2021
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Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking
Fei Xie, Wankou Yang, Kaihua Zhang, Bo Liu, Guangting Wang, Wangmeng Zuo

  • SAMN can simultaneously track objects and conduct segmentation.
  • CODE
  • PDF

🎖 Honors and Awards

  • 2023.05 “Stars of Tomorrow” from Microsoft Research Asia. 微软亚洲研究院-“明日之星”
  • 2022.06 Excellent Master’s Thesis from Southeast University. 东南大学优秀硕士学位论文
  • 2019.06 Scores 430/500 in the 2019 National Graduate Entrance Examination (highest score in the last ten years of SEU history).

📖 Educations

  • 2022.09 - Now, PhD Student, Shanghai Jiaotong University, Shanghai.
  • 2019.06 - 2022.04, Master, Southeast University, Nanjing.
  • 2016.09 - 2018.04, Master, University of British Columbia, Vancouver.
  • 2012.06 - 2016.06, Bachelor, Huazhong University of Science and Technology, Wuhan.

💻 Internships

  • 2023.09 - Now, Research intern in Huawei Noah’s Ark Lab, Beijing. Working with Dr. Zhongdao Wang.
  • 2022.09 - 2023.06, Research intern in Media Computing Group, Microsoft Research Asia, Beijing. The group leader is Dr. Yan Lu. Supervised by Dr. Lei Chu and Dr. Jiahao Li.
  • 2021.01 - 2022.01, Research intern in Intelligent Media Group, Microsoft Research Asia, Beijing. The group leader is Prof. Wenjun Zeng. Supervised by Dr. Chunyu Wang, worked closely with Dr. Guangting Wang, and learned some paper writing skills from Yue Cao.

💬 Invited Talks

  • 2024.06, CVPR24 seminar
  • 2023.06, CVPR23 seminar | [Video]
  • 2022.06, CVPR22 seminar

💬 Academic Services

  • Conference Reviewer for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, MM, WACV, ACCV.
  • Journal Reviewer for TPAMI, TNNLS, TMM, TCSVT, NN, IVC.