Advanced Techniques in Automated High Resolution Scanning Transmission Electron Microscopy

Kavli Affiliate: Paul Alivisatos | Summary:Scanning transmission electron microscopy is a common tool used to study the atomic structure of materials. It is an inherently multimodal tool allowing for the simultaneous acquisition of multiple information channels. Despite its versatility, however, experimental workflows currently rely heavily on experienced human operators and can only acquire data from […]


Continue.. Advanced Techniques in Automated High Resolution Scanning Transmission Electron Microscopy

Advanced Techniques in Automated High Resolution Scanning Transmission Electron Microscopy

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Alexander Pattison, Cassio C. S. Pedroso, Bruce E. Cohen, Justin C. Ondry, A. Paul Alivisatos | Summary: Scanning transmission electron microscopy is a common tool used to study the atomic structure of materials. It is an inherently multimodal tool allowing for the simultaneous acquisition of multiple information […]


Continue.. Advanced Techniques in Automated High Resolution Scanning Transmission Electron Microscopy

Estimation of the Directions for Unknown Parameters in Semiparametric Models

Kavli Affiliate: Wei Gao | First 5 Authors: Jinyue Han, Jun Wang, Wei Gao, Man-Lai Tang, | Summary: Semiparametric models are useful in econometrics, social sciences and medicine application. In this paper, a new estimator based on least square methods is proposed to estimate the direction of unknown parameters in semi-parametric models. The proposed estimator […]


Continue.. Estimation of the Directions for Unknown Parameters in Semiparametric Models

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiqun Duan, Xianda Guo, Zheng Zhu, , | Summary: Monocular depth estimation is a challenging task that predicts the pixel-wise depth from a single 2D image. Current methods typically model this problem as a regression or classification task. We propose DiffusionDepth, a new approach that reformulates monocular […]


Continue.. DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiqun Duan, Xianda Guo, Zheng Zhu, , | Summary: Monocular depth estimation is a challenging task that predicts the pixel-wise depth from a single 2D image. Current methods typically model this problem as a regression or classification task. We propose DiffusionDepth, a new approach that reformulates monocular […]


Continue.. DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation