avatar

Jialu Wang

D.Phil. Student
University of Oxford
jialu.wang@keble.ox.ac.uk


About Me

I am a D.Phil. candidate in Computer Science at the University of Oxford, co-supervised by Profs. Niki Trigoni and Andrew Markham.

I plan on submitting my thesis in the coming months and will soon be entering the job market. Feel free to contact me for any research opportunities!

Research Interests

My research interests primarily focus on advancing robotics and autonomous systems, particularly in achieving human-level perception and comprehensive environmental understanding for mobile robotic platforms. I aim to develop cutting-edge AI techniques and methodologies to enable robust and efficient spatial perception solutions, enhancing the reliability, intelligence, and security of intelligent machines in real-world scenarios. Additionally, my research includes efficient camera localization using state space models for edge-cloud collaborative IoT and terminal devices, further enhancing AI applications in these areas.

Techniques: Visual Localization, Adversarial Training, Data Augmentation, Domain Adaptation, 3D Reconstruction, and Neural Rendering

Applications: Autonomous Driving, Robotics, Virtual Reality, edge-cloud collaborative IoT and terminal devices

Publications

  1. RADA
    RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Conditions
    Jialu Wang , Muhamad Risqi U. Saputra , Chris Xiaoxuan Lu , Niki Trigoni and Andrew Markham
    (IROS 2023)
    Paper Video Code

    WSCLoc
    WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization via Radiance Field
    Jialu wang, Kaichen Zhou, Andrew Markham and Niki Trigoni
    (IROS 2024, Oral Presentation)
    Paper Project Website

    MambaLoc
    MambaLoc: Efficient Camera Localization with State Space Model for Edge-Cloud Collaborative IoT and Terminal Devices
    Jialu wang, Kaichen Zhou, Andrew Markham and Niki Trigoni
    (Submitted to RA-L)
    Paper Video

    REDLoc
    REDLoc: Towards Robust, Efficient, and Deployable Visual Localization
    Jialu Wang, Bing Wang, Niki Trigoni
    (Submitted to CVPR 2025)


Services

Conference Reviewers


Powered by Jekyll and Minimal Light theme.