Matthew Chan
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
Neural Information Processing Systems (NeurIPS) 2024
Matthew Chan, Maria Molina, Christopher Metzler
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
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
Supervision by Denoising Diffusion Models for Image Reconstruction
Neural Information Processing Systems (NeurIPS) Deep Inverse Workshop 2023
Matthew Chan, Sean Young, Christopher Metzler
Snapshot High Dynamic Range Imaging with a Polarization Camera
Mingyang Xie*, Matthew Chan*, Christopher Metzler
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
Sparse Color Fourier Ptychographic Microscopy With Implicit Neural Representations
Optica Imaging Congress for Computational Optical Sensing and Imaging (COSI) 2024
Replacing Ensemble Weather Predictions with Diffusion Models
American Geophysical Union (AGU) 2023
Collaborative Exploration Of Urban Data In Virtual And Augmented Reality
ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) 2018