Xinze Li

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Undergraduate Student Beijing Normal-Hong Kong Baptist University Email: t330026083@mail.bnbu.edu.cn

I am currently an undergraduate student at Beijing Normal-Hong Kong Baptist University (BNBU) and am looking for a PhD position for Fall 2027.

Before joining BNBU in September 2023, I received systematic training in Olympiad in Informatics at Changjun High School beginning in 2017.

My previous research interests were in bioinformatics and medical image analysis, where I completed four research projects as both an independent and collaborative researcher. I also worked as a research assistant with Central South University.

Since Spring 2025, I have focused on 3D Computer Vision under the supervision of Dr. Wentao Cheng, with a particular focus on:

  • 3D Reconstruction
  • Efficient Feed-Forward 3D Foundation Models

I am actively looking for a PhD position for Fall 2027. More details can be found on the info page.

news

Jul 02, 2026 I was honored to receive the Outstanding Reviewer Award for ICME 2026.
Jun 24, 2026 We released the Project Page for ReCal3R: a reliability-calibrated learning-rate rule for streaming 3D reconstruction.
May 01, 2026 One paper titled “QuadBox: Accelerating 3D Gaussian Splatting with Geometry-Aware Boxes” was accepted to ICIP 2026.
Mar 18, 2026 Two papers on 3D Foundation Models and Local Feature Learning have been accepted by ICME 2026! 🎉🎉
  • S-VGGT: Structure-Aware Subscene Decomposition for Scalable 3D Foundation Models.
  • D2Feat: Dual Distillation for Semantic and Geometric Local Feature Learning. Stay tuned for the full papers!

selected publications

  1. QuadBox: Accelerating 3D Gaussian Splatting with Geometry-Aware Boxes
    Xinze Li, Bohan Yang, Pengxu Chen, and 4 more authors
    In IEEE International Conference on Image Processing (ICIP), 2026
  2. S-VGGT: Structure-Aware Subscene Decomposition for Scalable 3D Foundation Models
    Xinze Li, Pengxu Chen, Yiyuan Wang, and 2 more authors
    In IEEE International Conference on Multimedia and Expo (ICME), 2026
  3. D2Feat: Dual Distillation for Semantic and Geometric Local Feature Learning
    Yiyuan Wang, Xinze Li, Puzhen Wu, and 3 more authors
    In IEEE International Conference on Multimedia and Expo (ICME), 2026