Publications: MaDCoW: Marginal Distortion Correction for Wide-Angle Photography with Arbitrary Objects (CVPR 2025); AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion (SIGGRAPH 2024); Seeing the World through Your Eyes (CVPR 2024); Acoustic Neural 3D Reconstruction Under Pose Drift (IROS 2025); A Scalable Training Strategy for Blind Multi-Distribution Noise Removal (IEEE TIP 2024); Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion (IEEE TPAMI 2024); Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations (NeurIPS 2024); PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters (CVPR 2023); MetaDIP: Accelerating Deep Image Prior with Meta Learning (arXiv, 2022); Memory-efficient Learning for High-Dimensional MRI Reconstruction (MICCAI 2021); Memory-efficient Learning for Large-scale Computational Imaging (IEEE TCI 2020); Memory-Efficient Learning for Unrolled 3D MRI Reconstructions (ISMRM Workshop on Data Sampling and Reconstruction, 2020); 3D fluorescence deconvolution with deep priors (SPIE BiOS 2020).
Research Experience
Internship at Adobe Research, working with Aaron Hertzmann; Research internship on Marc Levoy's computational imaging team at Adobe.
Education
PhD: University of Maryland, College Park, Advisors: Christopher Metzler and Jia-Bin Huang; BA: UC Berkeley, Advisors: Laura Waller and Michael Lustig.
Background
Research Interests: Computer Vision and Computational Imaging; Academic Fields: Computer Science and Pure Mathematics.
Miscellany
Personal Interests: Building small web apps to visualize algorithmic ideas; Projects include: Tangram Generator, Life Simulator, Smoke on Manifolds, Halftone Display, Wide Angle Lens Visualizations.