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. Currently, I am working with Dr. Zhongdao Wang.

My research interests focus on computer vision and generative tasks, such as visual object tracking/detection/segmentation and image synthesis. I also have a special interest in general vision backbone design and its applications.

I am expected to graduate in June 2026. If you have any job opportunities 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！

🔥 News

  • 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 ECCV

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

Google Scholar Citation: 1000+

CVPR 2025
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Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
Fei Xie, Jiahao Nie, Yujin Tan, 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 University, 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 Aisa, Beijing. Supervised by Dr. Lei Chu and Dr. Jiahao Li.
  • 2021.01 - 2022.01, Research intern in Intelligent Media Group, Microsoft Research Aisa, Beijing. 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.