2 papers
cs.CV2024
Investigation of moving objects through atmospheric turbulence from a non-stationary platform
Nicholas Ferrante, Jerome Gilles, Shibin Parameswaran
In this work, we extract the optical flow field corresponding to moving objects from an image sequence of a scene impacted by atmospheric turbulence \emph{and} captured from a movi…
cs.LG2024
Out-of-Distribution Learning with Human Feedback
Haoyue Bai, Xuefeng Du, Katie Rainey +2
Out-of-distribution (OOD) learning often relies heavily on statistical approaches or predefined assumptions about OOD data distributions, hindering their efficacy in addressing mul…