About
I am an applied scientist in the Just Walk Out (JWO) team at Amazon. I use computer vision and vision-language technologies to solve real-world problems. I received my Ph.D. from Rensselaer Polytechnic Institute (RPI), advised by Prof. Qiang Ji.
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 Contrastive Augmented Open-set Action Recognition
Hongji Guo, Shehan Senavirathna, and Qiang Ji
FG, 2026
[PDF]
Bayesian Evidential Deep Learning for Online Action Detection
Hongji Guo, Hanjing Wang, and Qiang Ji
ECCV, 2024
[PDF]
[Supp]
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
[PDF]
Services
Conference reviewer: CVPR, ICCV, ECCV, WACV, BMVC, ACCV, NIPS, ICML, ICLR, IJCAI, UAI, ICPR, FG, VCIP
Journal reviewer: TPAMI, TNNLS, TCSVT, MVAP, JVCI
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.