Yu Xiang Tan
Yu Xiang Tan

Computer Vision Research Engineer

About Me

I am a Computer Vision Research Engineer specializing in 3D reconstruction, geometric optimization and high-performance C++ systems. I develop production ready measurement systems for manufacturing pipelines and explore the use of foundation models in generalizing and optimizing the workflow. Outside of work, I explore the use of AI for underwater coral reef mapping, which was also part of my research during my PhD.

Interests
  • Foundation models
  • 3D Reconstruction
  • Marine Robotics
  • Educational Robotics
Education
  • PhD Mobile Robotics

    Singapore University of Technology and Design

  • Computer Science and Design

    Singapore University of Technology and Design

Experience

  1. Computer Vision Research Engineer

    Hyundai Motor Group Innovation Center Singapore
    • Designing highly accurate and precise mapping and localization algorithms for manufacturing using various RGBD cameras.
  2. Data Analytic Research Intern

    Temasek Laboratories at SUTD
    • Researched and designed multiple prediction models to recognize hand gestures using data from Inertial Measurement Unit
    • Collected dataset of hand gestures and tested the prediction models on the dataset using pandas and scikit-learn packages
    • Integrated the model within the Robotic Operating System (ROS) framework to be used in robots
  3. Deep Learning Research Intern

    DSO Information Systems Department
    • Researched and designed a deep-learning multi-task CNN model using Pytorch for attribute prediction to assist in person re-identification across non-overlapping cameras
    • Presented to the head of the Information Systems department on the findings and applicability of such model in their overall project
    • Self-learnt the knowledge of implementing and optimizing CNN across multiple deep-learning frameworks within 2 months of the internship

Education

  1. PhD Mobile Robotics

    Singapore University of Technology and Design
    Thesis on Context-Aware Perception in Adverse Conditions. Supervised by Prof Malika Meghjani. Presented papers at 4 IEEE conferences with the contributions being published in 6 IEEE proceedings. Awarded with the President’s Graduate Fellowship
  2. Computer Science and Design

    Singapore University of Technology and Design
    GPA: 4.44/5.0 Bachelors of Engineering (Hons) Awarded with the SUTD Merit Scholarship
Recent Publications
(2025). MERLION: Marine ExploRation with Language guIded Online iNformative Visual Sampling and Enhancement. 2025 IEEE International Conference on Robotics and Automation (ICRA 2025).
(2024). Robust Vehicle Localization and Tracking in Rain Using Street Maps. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC).
(2024). WaveDiff: Underwater Visual Data Enhancement with Wavelet-Accelerated Diffusion. OCEANS 2024 - Halifax.
(2024). Online Informative Sampling Using Semantic Features in Underwater Environments. OCEANS 2024 - Singapore.
(2023). Evaluating Visual Odometry Methods for Autonomous Driving in Rain. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).
Projects
Teaching