Matthew Chan

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I’m a 4th year PhD student in the Department of Computer Science at the University of Maryland, College Park. I work with Prof. Christopher Metzler as part of the Intelligent Sensing Lab on problems in computer vision / computational photography.

Feel free to reach out to me by email or on LinkedIn.

Publications

Estimating Epistemic and Aleatoric Uncertainty with a Single Model

Conference on Neural Information Processing Systems (NeurIPS) 2024

Matthew Chan, Maria Molina, Christopher Metzler

  Paper

  Project Page

  Poster


CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Sachin Shah, Matthew Chan, Haoming Cai, Jingxi Chen, Sakshum Kulshrestha, Chahat Deep Singh, Yiannis Aloimonos, Christopher Metzler

  Paper

  Poster


Synthetic Aperture Imaging with Neural Signal Representations

IEEE Conference on Computational Imaging Using Synthetic Apertures (CISA) 2024

Christopher Metzler, Matthew Chan, Janith Senanayaka, Brandon Feng

  Paper


Sparse Color Fourier Ptychographic Microscopy With Implicit Neural Representations

Optica Imaging Congress for Computational Optical Sensing and Imaging (COSI) 2024

Matthew Chan, Haowen Zhou, Brandon Feng, Christopher Metzler

  Paper


Supervision by Denoising Diffusion Models for Image Reconstruction

Conference on Neural Information Processing Systems (NeurIPS) Deep Inverse Workshop 2023

Matthew Chan, Sean Young, Christopher Metzler

  Paper

  Poster


Snapshot High Dynamic Range Imaging with a Polarization Camera

Mingyang Xie*, Matthew Chan*, Christopher Metzler

  Paper

  Project Page

  Poster

Invited Talks

Estimating Epistemic and Aleatoric Uncertainty with a Single Model

International Biomedical and Astronomical Signal Processing (BASP) Frontiers Conference 2025


Estimating Epistemic and Aleatoric Uncertainty with a Single Model

Asilomar Conference on Signals, Systems, and Computers (ACSSC) 2024

  Slides


Replacing Ensemble Weather Predictions with Diffusion Models

American Geophysical Union (AGU) 2023

  Slides


Collaborative Exploration Of Urban Data In Virtual And Augmented Reality

ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) 2018

  Project Page