Hongji Guo


    Hongji Guo

     Ph.D.
     ISL@RPI
     [Google Scholar] [LinkedIn]
     E-mail: guoh11@rpi.edu

Intro

I received my Ph.D. in December 2024 from Rensselaer Polytechnic Institute (RPI), advised by Prof. Qiang Ji. My research interest lies in dynamic probabilistic models for human action recognition.

Education

  • Ph.D. in Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, 2019 - 2024
  • B.E. in Electrical Engineering and Automation, Chongqing University, 2015 - 2019

    • Publications

  • Bayesian Evidential Deep Learning for Online Action Detection
    Hongji Guo, Hanjing Wang, and Qiang Ji
    ECCV, 2024
    [PDF] [Supp] [Code (coming)]
  • Uncertainty-aware Action Decoupling Transformer for Action Anticipation
    Hongji Guo, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee, and Qiang Ji
    CVPR, 2024 (Highlight)
    [PDF] [Supp]
  • Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition
    Hongji Guo, Qiang Ji
    ICCV, 2023
    [PDF] [Supp]
  • Skeleton-Based Human Action Recognition with A Physics-Augmented Encoder-Decoder Network
    Hongji Guo, Alexander J. Aved, Collen W. Roller, Erika G. Ardiles-Cruz, Qiang Ji
    SPIE DCS, 2023
    [Paper]
  • Video-based Complex Human Event Recognition with A Probabilistic Transformer
    Hongji Guo, Alexander J. Aved, Collen W. Roller, Erika G. Ardiles-Cruz, Qiang Ji
    SPIE DCS, 2023
    [Paper]
  • Uncertainty-Based Spatial-Temporal Attention for Online Action Detection
    Hongji Guo, Zhou Ren, Yi Wu, Gang Hua, Qiang Ji
    ECCV, 2022
    [PDF] [Code]
  • Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition
    Hongji Guo, Hanjing Wang, Qiang Ji
    CVPR, 2022
    [PDF]
  • ARCLIGHT: Automated Clustering and Curriculum Learning Guided by Human Training
    Jamie McCusker, Henrique Santos, Rishi Singh, Sabbir Rashid, Abraham Sanders, Grace Roessling, Hongji Guo, Bashirul Biswas, Deborah L. McGuinness, Tomek Strzalkowski, Qiang Ji and Jay Miller
    International Semantic Web Conference (ISWC), 2024
    (To appear)

    • Services

  • Conference reviewer: CVPR, ICCV, ECCV, ACCV, NIPS, ICML, ICLR, UAI, VCIP
  • Journal reviewer: IEEE TNNLS, MVAP

    • Teaching

  • Teaching Assistant at RPI, Fall 2021, Fall 2023
    ECSE 6650 Computer Vision
  • Teaching Assistant at RPI, Fall 2020, Spring 2023
    ECSE 2500 Engineering Probability
  • Teaching Assistant at RPI, Fall 2020
    ECSE 4530 Digital Signal Processing
  • Teaching Assistant at RPI, Spring 2020
    ECSE 2410 Signals and Systems
  • Teaching Assistant at RPI, Spring 2020
    ECSE 2610 Computer Components and Operations

    • Intern Experience

  • Research Intern at Honda Research Institute, May 2023 - August 2023
    Mentor: Dr. Kwonjoon Lee
  • Research Intern at Wormpex AI Research, May 2021 - August 2021
    Mentors: Dr. Zhou Ren, Dr. Yi Wu, Dr. Gang Hua
  • Research Intern at MIT, July 2018 - August 2018
    Mentor: Dr. Yajun Fang

    • More

    I like playing soccer and MTG, which keep me energetic and focused.