38 citations · 76 across the 10 of their papers we have counts for
19 papers
Real-Time Dense Field Phase-to-Space Simulation of Imaging through Atmospheric Turbulence
Nicholas Chimitt, Xingguang Zhang, Zhiyuan Mao +1
Numerical simulation of atmospheric turbulence is one of the biggest bottlenecks in developing computational techniques for solving the inverse problem in long-range imaging. The c…
Detecting and Segmenting Adversarial Graphics Patterns from Images
Xiangyu Qu, Stanley H. Chan
Adversarial attacks pose a substantial threat to computer vision system security, but the social media industry constantly faces another form of "adversarial attack" in which the h…
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform
Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
Fast and accurate simulation of imaging through atmospheric turbulence is essential for developing turbulence mitigation algorithms. Recognizing the limitations of previous approac…
Optical Adversarial Attack
Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan
We introduce OPtical ADversarial attack (OPAD). OPAD is an adversarial attack in the physical space aiming to fool image classifiers without physically touching the objects (e.g.,…
Student-Teacher Learning from Clean Inputs to Noisy Inputs
Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin +1
Feature-based student-teacher learning, a training method that encourages the student's hidden features to mimic those of the teacher network, is empirically successful in transfer…
HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction
Abhiram Gnanasambandam, Stanley H. Chan
High dynamic range (HDR) imaging is one of the biggest achievements in modern photography. Traditional solutions to HDR imaging are designed for and applied to CMOS image sensors (…