I am a PhD student at CDT in Foundational AI at University College London, supervised by Prof. Lourdes Agapito. My research mainly focuses on dense 3D reconstruction from video.
I obtained my Master degree with a thesis on "Neural Representations for 3D Reconstruction" at UCL, supervised by Prof. Lourdes Agapito. Prior to UCL, I obtained a bachelor degree in a joint degree programme between QMUL and BUPT, working with Dr. Changjae Oh.
Feel free to drop me a message if you would like to know more about my research or are just up for a casual chat :)
AMB3R is a multi-view feed-forward model for metric-scale dense 3D reconstruction that addresses diverse 3D vision tasks. We also introduce AMB3R-VO and AMB3R-SfM: two training-free, model-agnostic pipelines that extend multi-view transformer for VO and SfM of any number of images without test-time optimisation.
Spann3R is a transformer-based model that achieves incremental reconstruction from uncalibrated image collection with a single forward pass.
LaVA-Man is a language-guided robot manipulation system that leverages CroCo-style self-supervised pretext task (goal image prediction) to learn causality of visual state transitions in language-guided manipulation.
MorpheuS is a dynamic scene reconstruction method that leverages neural implicit representations and diffusion priors for achieving 360° reconstruction of a moving object from a monocular RGB-D video.
Co-SLAM is a neural RGB-D SLAM system that performs robust camera tracking and high-fidelity surface reconstruction in real time. This paper extends the work presented in my MSc thesis.
Built a neural RGB-D surface reconstruction system based on joint coordinate and sparse parametric encoding.