Renhao Huang

I am a Postdoc Research Fellow and an associate director for AI research at iCinema Research Centre, UNSW, reponsible for the development of AI models for iFire project. In 2020, I received the B.E degree with a first-class honour from the University of New South Wales. In 2025, I received a PhD degree at the School of Computer Science and Engineering, UNSW, and has submited his thesis topic vision-based human trajectory prediction.

Research Interests:

Human Trajectory Prediction
Computer Vision
Domain Adaptation & Generalisation
Wildfire Research

News

March, 2025	PhD Thesis accepted.
March, 2025	One paper accepted by TNNLS.
October, 2024	Started Postdoc Research Fellow at iCinema Research Centre.
June, 2024	One paper accepted by RA-L
June, 2023	One paper accepted in IROS.

Selected Publications

Vision-based Multimodal trajectory prediction: A survey

Renhao Huang, Hao Xue, Maurice Pagnucco, and 2 more authors

IEEE Transactions on Neural Networks and Learning Systems, 2025

[ Bib ] [ Paper ]

@article{survey-mtp-arxiv,
  title = {Vision-based Multimodal trajectory prediction: A survey},
  author = {Huang, Renhao and Xue, Hao and Pagnucco, Maurice and Salim, Flora and Song, Yang},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  year = {2025},
}

Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-oriented Trajectory Prediction

Renhao Huang, Jingtao Ding, Maurice Pagnucco, and 1 more author

IEEE Robotics and Automation Letters, 2024

[ Bib ] [ Paper ]

@article{decouple-traj,
  author = {Huang, Renhao and Ding, Jingtao and Pagnucco, Maurice and Song, Yang},
  journal = {IEEE Robotics and Automation Letters},
  title = {{Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-oriented Trajectory Prediction}},
  year = {2024},
  pages = {9143--9150},
}

HyperTraj: Towards Simple and Fast Scene-compliant Endpoint Conditioned Trajectory Prediction

Renhao Huang, Maurice Pagnucco, and Yang Song

In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023

[ Bib ] [ Paper ]

@inproceedings{hypertraj,
  title = {{HyperTraj: Towards Simple and Fast Scene-compliant Endpoint Conditioned Trajectory Prediction}},
  author = {Huang, Renhao and Pagnucco, Maurice and Song, Yang},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2023},
}

Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach

Renhao Huang, Anthony Tompkins, Maurice Pagnucco, and 1 more author

In Conference on Lifelong Learning Agents, 2023

[ Bib ] [ Paper ]

@inproceedings{mp-traj,
  author = {Huang, Renhao and Tompkins, Anthony and Pagnucco, Maurice and Song, Yang},
  title = {{Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach}},
  booktitle = {Conference on Lifelong Learning Agents},
  year = {2023},
  pages = {227--243},
}