papers

Publications (9)

cs.CV2024

What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs

Alex Trevithick, Matthew Chan, Towaki Takikawa +5

3D-aware Generative Adversarial Networks (GANs) have shown remarkable progress in learning to generate multi-view-consistent images and 3D geometries of scenes from collections of…

cs.SI2025

Layers of a City: Network-Based Insights into San Diego's Transportation Ecosystem

Matthew Chan, Steve Sharp, Jiajian Zhu +1

Analyzing the structure and function of urban transportation networks is critical for enhancing mobility, equity, and resilience. This paper leverages network science to conduct a…

cs.CR2023

Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations

Yi Han, Matthew Chan, Eric Wengrowski +5

Camera-based autonomous systems that emulate human perception are increasingly being integrated into safety-critical platforms. Consequently, an established body of literature has…

cs.GR2026

Real-time 3D Visualization of Radiance Fields on Light Field Displays

Jonghyun Kim, Cheng Sun, Michael Stengel +6

Radiance fields, including their recent efficient forms such as 3D Gaussian Splatting and Sparse Voxels, have revolutionized photorealistic 3D scene visualization by enabling high-…

cs.CV2024

Coherent 3D Portrait Video Reconstruction via Triplane Fusion

Shengze Wang, Xueting Li, Chao Liu +6

Recent breakthroughs in single-image 3D portrait reconstruction have enabled telepresence systems to stream 3D portrait videos from a single camera in real-time, potentially democr…

eess.IV2023

Snapshot High Dynamic Range Imaging with a Polarization Camera

Mingyang Xie, Matthew Chan, Christopher Metzler

High dynamic range (HDR) images are important for a range of tasks, from navigation to consumer photography. Accordingly, a host of specialized HDR sensors have been developed, the…

cs.CV2023

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

Alex Trevithick, Matthew Chan, Michael Stengel +7

We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e.g., face portrait) in real-time. Given a single RGB input, our im…

cs.CR2022

Let's Talk Through Physics! Covert Cyber-Physical Data Exfiltration on Air-Gapped Edge Devices

Matthew Chan, Nathaniel Snyder, Marcus Lucas +7

Although organizations are continuously making concerted efforts to harden their systems against network attacks by air-gapping critical systems, attackers continuously adapt and u…

cs.CV2024

Coherent3D: Coherent 3D Portrait Video Reconstruction via Triplane Fusion

Shengze Wang, Xueting Li, Chao Liu +5

Recent breakthroughs in single-image 3D portrait reconstruction have enabled telepresence systems to stream 3D portrait videos from a single camera in real-time, democratizing tele…