Hengyi Wang  |  王恒一

I am a PhD student (Jan. 2023 - 2027), working with Prof. Lourdes Agapito at CDT in Foundational AI at University College London. My research topic is Neural Surface Reconstruction from Video.

I obtained my Master degree with thesis on "Neural Representations for 3D Reconstruction" at UCL, suprvised by Prof. Lourdes Agapito. Prior to UCL, I obtained a bachelor degree at joint degree programme between QMUL and BUPT, worked with Prof. Changejae Oh.

Feel free to drop me a message if you would like to know more about my research or just up for a casual chat :)

Email  /  CV  /  Google Scholar  /  Linkedin  /  Github  /  Notebooks

I'm interested in computer vision, deep learning, and generative models. My current research focuses on 3D perception and understanding. I'm especially passionate about the challenge of perceiving and simultaneously 'dreaming up' the physical world from images.

We present MorpheuS, 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.

We present a neural RGB-D SLAM system, Co-SLAM, which performs robust camera tracking and high-fidelity surface reconstruction in real time. This paper extends the work presented in my MSc thesis.

We present a refinement framework to boost the performance of pre-trained semi-supervised video object segmentation (VOS) models based on scale inconsistency. Our work consists of a multi-scale attention module with the corresponding self-supervised online adaptation strategy.

We present a framework to estimate phyiscal properties of the house-hold containers and its fillings from RGB-D and audio inputs. Rank 1^st in the CORSMAL Challenge 2022.

Built a neural RGB-D surface reconstruction system based on joint coordinate and sparse parametric encoding.

• Journal Reviewer: RA-L
• Teaching assistant: Machine Vision, Image Processing