3 papers
cs.CV2025
Recovering Parametric Scenes from Very Few Time-of-Flight Pixels
Carter Sifferman, Yiquan Li, Yiming Li +4
We aim to recover the geometry of 3D parametric scenes using very few depth measurements from low-cost, commercially available time-of-flight sensors. These sensors offer very low…
cs.CV2024
Towards 3D Vision with Low-Cost Single-Photon Cameras
Fangzhou Mu, Carter Sifferman, Sacha Jungerman +5
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras. These cameras,…
cs.CV2022
Physical-World Optical Adversarial Attacks on 3D Face Recognition
Yanjie Li, Yiquan Li, Xuelong Dai +2
2D face recognition has been proven insecure for physical adversarial attacks. However, few studies have investigated the possibility of attacking real-world 3D face recognition sy…