MAD: Meta Adversarial Defense Benchmark

no code implementations • 18 Sep 2023 • X. Peng, D. Zhou, G. Sun, J. Shi, L. Wu

In addition, we introduce a meta-learning based adversarial training (Meta-AT) algorithm as the baseline, which features high robustness to unseen adversarial attacks through few-shot learning.

Adversarial Defense Few-Shot Learning

Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding

no code implementations • 21 Feb 2021 • J. Zhang, Q. Dong, J. Shi, Q. Li, C. M. Stonnington, B. A. Gutman, K. Chen, E. M. Reiman, R. J. Caselli, P. M. Thompson, J. Ye, Y. Wang

Hyperbolic geometry has been successfully applied in modeling brain cortical and subcortical surfaces with general topological structures.

Direct Observation of Coherent Longitudinal and Shear Acoustic Phonons in TaAs Using Ultrafast X-ray Diffraction

no code implementations • 14 Nov 2020 • M. -C. Lee, N. Sirica, S. W. Teitelbaum, A. Maznev, T. Pezeril, R. Tutchton, V. Krapivin, G. A. de la Pena, Y. Huang, L. X. Zhao, G. F. Chen, B. Xu, R. Yang, J. Shi, J. Zhu, D. A. Yarotski, X. G. Qiu, K. A. Nelson, M. Trigo, D. A. Reis, R. P. Prasankumar

Using femtosecond time-resolved X-ray diffraction, we investigated optically excited coherent acoustic phonons in the Weyl semimetal TaAs.

Materials Science

A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

1 code implementation • 21 Sep 2020 • E. Riba, D. Mishkin, J. Shi, D. Ponsa, F. Moreno-Noguer, G. Bradski

This work presents Kornia, an open source computer vision library built upon a set of differentiable routines and modules that aims to solve generic computer vision problems.

Camera Calibration Edge Detection +2