Shuhong Liu

PhD Candidate of The University of Tokyo, Tokyo, Japan.

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Department of Mechano-Informatics

Graduate School of Information Science and Technology

The University of Tokyo

Greatings! I am currently pursuing my PhD degree at the Machine Intelligence Laboratory (MIL) under the supervision of Prof. Tatsuya Harada. Before that, I obtained my Master’s degree from the Intelligent Systems and Informatics (ISI) Laboratory at the Graduate School of Information Science and Technology, University of Tokyo, where I was supervised by Prof. Kohei Nakajima and Prof. Yasuo Kuniyoshi. I received my Bachelor degree of Engineering in University of Waterloo, ON, Canada.

My research interests are centered around 3D Computer Vision, Robotics, and Computational Photography. Currently, my work focuses on integrating physical priors into 3D world modeling to bridge the gap between data-driven and physics-based learning methodologies.

Selected Publications

(* indicates equal contribution)

  1. I2_NeRF_cover.gif
    I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions
    Shuhong Liu, Lin Gu, Ziteng Cui, Xuangeng Chu, and Tatsuya Harada
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
    arXiv Code Website
  2. TVCG
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    DenseSplat: Densifying Gaussian Splatting SLAM with Neural Radiance Prior
    Mingrui Li*, Shuhong Liu*, Tianchen Deng, and Hongyu Wang
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025
    DOI arXiv Video
  3. TASE
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    MG-SLAM: Structure Gaussian Splatting SLAM With Manhattan World Hypothesis
    Shuhong Liu, Tianchen Deng, Heng Zhou, Liuzhuozheng Li, Hongyu Wang, Danwei Wang, and Mingrui Li
    IEEE Transactions on Automation Science and Engineering (TASE), 2025
    DOI arXiv
  4. PRR
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    Exploiting chaotic dynamics as deep neural networks
    Shuhong Liu, Nozomi Akashi, Qingyao Huang, Yasuo Kuniyoshi, and Kohei Nakajima
    Physical Review Research, 2025
    DOI arXiv Code
  5. AAAI
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    DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
    Shuhong Liu, Xiang Chen, Hongming Chen, Quanfeng Xu, and Mingrui Li
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025
    DOI arXiv Website
  6. ECCV
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    SGS-SLAM: Semantic Gaussian Splatting for Neural Dense SLAM
    Mingrui Li*, Shuhong Liu*, Heng Zhou, Guohao Zhu, Na Cheng, Tianchen Deng, and Hongyu Wang
    In European Conference on Computer Vision (ECCV), 2024
    DOI arXiv Video Code

Honors and Awards

Sep 15, 2024 BOOST NAIS Next-Generation AI for Intelligent Society, Japan Science and Technology Agency (JST), 2024.10 - 2027.09 :sparkles:
May 27, 2024 Winner of CVPR 2024 UG2+ UAV Tracking and Pose Estimation (Track-3) :sparkles:

Services

Reviewer NeurIPS, ICLR, ICML, CVPR, ICCV, AAAI, TMLR, PR