PhD student
@UniFAU. Part of
@CogCoVi. I’m working at the intersection of computer vision, graphics, and machine learning. I like kernels and the
@Chiefs.
Joined December 2021
🚀Excited to share our paper "Towards Integrating Multi-Spectral Imaging with Gaussian Splatting" was accepted at VMV 2025! 🎉 We fuse RGB & multi-spectral imagery (red, green, red-edge, near-infrared) into the 3D Gaussian Splatting framework. 🔗Project: meyerls.github.io/towards_multi_…
Happy to share our latest 3D generative breast model: the *implicit* RBSM, or iRBSM for short. As opposed to its PCA-based predecessor, the iRBSM leverages implicit neural representations, yielding a highly detailed and expressive 3D breast model. Paper: arxiv.org/abs/2412.13244
Apply! It’s cool there (only for UK students though)!
PSA: I know it's hard to take, but I'll not have a first-author paper
@sigbovikthis year! Instead, I'm literally just another random co-author of AMOR, a novel method that elegantly solves the author ordering problem (AOP) by randomly shuffling the author list at viewing time.