I am currently a 5th year Ph.D. student at the University of Maryland, advised by Christopher Metzler. Previously, I obtained my Bachelor degree from Washington University in St. Louis, advised by Ulugbek Kamilov.
I am broadly interested in computer vision and generative AI, with a focus on vision generation, multimodal understanding, and computational photography. I am actively looking for research internships starting Spring 2026.
Aligns video and textual representations for spatiotemporal reasoning by letting the model learn to correct hallucinations.
A diffusion-model-based approach for 2D reflection removal with latent-space separation.
A simple yet effective approach for separating transmitted and reflected 3D scenes by using Gaussian Splatting and unpaired flash and no-flash multi-view images.
Use a proxy reconstruction network to learn an optimal set of wavefront modulation patterns in an end-to-end fashion.
A novel single-shot HDR imaging methodology using a polarization camera, achieving 4dB improvement over software-only baselines.
Neural signal representations enable breakthroughs in correcting for severe time-varying wavefront aberrations caused by scattering media.
Training GAN only on blurry images from a single scene to recover a sharp image without estimating the blur kernels or acquiring a large labelled dataset.
Learning the computed tomography measurement field by mapping X-ray angles to corresponding pixel values using implicit neural representation.
A regularization by denoising approach for image reconstruction tasks where there exist parametric uncertainties in the imaging forward model.
Using semantic signing for image verification against deep fake attacks.