5 papers
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
Ziyun Yang, Somayyeh Soltanian-Zadeh, Sina Farsiu
Salient object detection (SOD) is viewed as a pixel-wise saliency modeling task by traditional deep learning-based methods. A limitation of current SOD models is insufficient utili…
Mesoscopic photogrammetry with an unstabilized phone camera
Kevin C. Zhou, Colin Cooke, Jaehee Park +4
We present a feature-free photogrammetric technique that enables quantitative 3D mesoscopic (mm-scale height variation) imaging with tens-of-micron accuracy from sequences of image…
Unified k-space theory of optical coherence tomography
Kevin C. Zhou, Ruobing Qian, Al-Hafeez Dhalla +2
We present a general theory of optical coherence tomography (OCT), which synthesizes the fundamental concepts and implementations of OCT under a common 3D k-space framework. At the…
Fisher Auto-Encoders
Khalil Elkhalil, Ali Hasan, Jie Ding +2
It has been conjectured that the Fisher divergence is more robust to model uncertainty than the conventional Kullback-Leibler (KL) divergence. This motivates the design of a new cl…
Learning Partial Differential Equations from Data Using Neural Networks
Ali Hasan, João M. Pereira, Robert Ravier +2
We develop a framework for estimating unknown partial differential equations from noisy data, using a deep learning approach. Given noisy samples of a solution to an unknown PDE, o…