WeiQin Chuah

WeiQin Chuah

Lecturer (ECR) · RMIT University, Melbourne

School of Mechanical, Mechatronics and Manufacturing Engineering.
Member of the Intelligent Automation Research Group.
Ph.D. RMIT University, 2022.

Research Interests

Robust Representation Learning

  • Large-scale self-supervised learning
  • Foundation models for vision
  • Shortcut avoidance & OOD robustness
  • Test-time adaptation

Geometric Computer Vision

  • 3D scene understanding
  • Neural rendering (NeRF & 3DGS)
  • Depth estimation & stereo matching
  • AR / VR

AI for Engineering

  • Anomaly detection & quality inspection
  • Digital twin modelling
  • Robotics
  • Mapping & localisation

Publications

2026

Modernizing Livestock Operations: Smart Feedlot Technologies and Their Impact
S.D. Dao, A.K. Gostar, R. Tennakoon, W.Q. Chuah, A. Bab-Hadiashar
Animals, 16(8), 1244, 2026
Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting
Z. Hui, A.K. Gostar, W.Q. Chuah, A. Bab-Hadiashar, R. Tennakoon
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance
T. Weerasinghe, R. Tennakoon, W.Q. Chuah, A. Bab-Hadiashar
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026

2025

Automated Keypoint Estimation for Self-Piercing Rivet Joints Using micro-CT Imaging and Transfer Learning
W.Q. Chuah, R. Tennakoon, A. Freis, M. Easton, R. Hoseinnezhad, A. Bab-Hadiashar
arXiv preprint arXiv:2502.16752, 2025
Revisiting Entropy Minimization for Long-Sequence Continual Test-Time Adaptation
W.Q. Chuah, R. Tennakoon, A. Bab-Hadiashar
36th British Machine Vision Conference (BMVC), 2025

2024

LAF-NeRF: Learning Artifact-Free Neural Radiance Fields from Un-Curated Image Collections with Corruptions
Z. Hui, W.Q. Chuah, A.K. Gostar, A. Bab-Hadiashar, R. Tennakoon
International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2024
Enhanced Online Test-Time Adaptation with Feature-Weight Cosine Alignment
W.Q. Chuah, R. Tennakoon, A. Bab-Hadiashar
arXiv preprint arXiv:2405.07171, 2024
Single Domain Generalization via Normalised Cross-Correlation Based Convolutions
W.Q. Chuah, R. Tennakoon, R. Hoseinnezhad, D. Suter, A. Bab-Hadiashar
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Paper Code

2023

An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks
W.Q. Chuah, R. Tennakoon, R. Hoseinnezhad, D. Suter, A. Bab-Hadiashar
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 45(9), 10615-10631, 2023
Paper

2022

ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
W.Q. Chuah, R. Tennakoon, R. Hoseinnezhad, A. Bab-Hadiashar, D. Suter
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Paper Code
Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications
W. Chuah, R. Tennakoon, R. Hoseinnezhad, D. Suter, A. Bab-Hadiashar
IEEE Transactions on Intelligent Transportation Systems, 23(10), 18916-18926, 2022
Towards Building a Vet-Assist System: Animal Pose Estimation and Counting Walking Steps
W.Q. Chuah, A. Bab-Hadiashar, R. Tennakoon, F. Zambetta et al.
Australasian Conference on Robotics and Automation (ACRA), 2022

2021

Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications
W. Chuah, R. Tennakoon, R. Hoseinnezhad, A. Bab-Hadiashar
IEEE Transactions on Intelligent Transportation Systems, 23(7), 6654-6665, 2021

2019

Machine Vision-Enabled Traffic Controller for Safer and Smoother Traffic Flow Around Construction Sites
W. Chuah, R. Tennakoon, R. Hoseinnezhad, A. Bab-Hadiashar
IEEE Intelligent Transportation Systems Conference (ITSC), 4255-4260, 2019
State Transition for Statistical SLAM Using Planar Features in 3D Point Clouds
A.K. Gostar, C. Fu, W. Chuah, M.I. Hossain, R. Tennakoon, A. Bab-Hadiashar et al.
Sensors, 19(7), 1614, 2019

Teaching

MANU2167 Design for Assembly and Automation
MANU2548 Automated System Design

Previously: Computational Machine Learning (2022), Deep Learning (2022), Digital Fundamentals (2021)

Prospective Students

I am actively recruiting PhD and Master by Research students
  • Geometric computer vision
  • Robust representation learning for vision
  • AI for engineering

If you are interested in working with me, please get in touch with your CV and a brief research statement.