Nick Antipa — accepted AI-conference papers

2025

RnGCam: High-speed video from rolling & global shutter measurements

Kevin Tandi, Xiang Dai, Chinmay Talegaonkar, Gal Mishne, Nick Antipa

ICCV 2025poster

Compressive video capture encodes a short high-speed video into a single measurement using a low-speed sensor, then computationally reconstructs the original video. Prior implementations rely on expensive hardware and are restricted to imaging sparse scenes with empty backgrounds. We propose RnGCam,…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks

Jiacheng Cheng*, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos

ECCV 2024oral

"The problem of designing a privacy-preserving camera (PPC) is considered. Previous designs rely on a static point spread function (PSF), optimized to prevent detection of private visual information, such as recognizable facial features. However, the PSF can be easily recovered by measuring the came…

Cited by 0 Source ↗PDF ↗Scholar ↗