no code implementations • 8 May 2023 • Tao Hong
To gain a better understanding of the models' inner mechanisms, we analyze the hidden state and channel wave dynamics in a small GPT, focusing on the coherence of wave patterns in terms of cross-channel correlation and individual auto-correlation.
1 code implementation • 7 Aug 2022 • Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin
Steerable models can provide very general and flexible equivariance by formulating equivariance requirements in the language of representation theory and feature fields, which has been recognized to be effective for many vision tasks.
no code implementations • 8 Jul 2021 • Tao Hong, Thanh-an Pham, Eran Treister, Michael Unser
In this work, we introduce instead a Helmholtz-based nonlinear model for inverse scattering.
1 code implementation • 30 May 2019 • Tao Hong, Irad Yavneh, Michael Zibulevsky
REgularization by Denoising (RED) is an attractive framework for solving inverse problems by incorporating state-of-the-art denoising algorithms as the priors.
1 code implementation • 6 May 2018 • Tao Hong, Yaniv Romano, Michael Elad
Models play an important role in inverse problems, serving as the prior for representing the original signal to be recovered.
no code implementations • 19 Sep 2017 • Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li
We consider designing a robust structured sparse sensing matrix consisting of a sparse matrix with a few non-zero entries per row and a dense base matrix for capturing signals efficiently We design the robust structured sparse sensing matrix through minimizing the distance between the Gram matrix of the equivalent dictionary and the target Gram of matrix holding small mutual coherence.
1 code implementation • 4 Jan 2017 • Tao Hong, Zhihui Zhu
The simulation results on natural images demonstrate the effectiveness of the suggested online algorithm compared with the existing methods.
1 code implementation • 27 Sep 2016 • Tao Hong, Zhihui Zhu
Without requiring of training data, we can efficiently design the robust projection matrix and apply it for most of CS systems, like a CS system for image processing with a conventional wavelet dictionary in which the SRE matrix is generally not available.
no code implementations • CVPR 2013 • Weiming Li, Haitao Wang, Mingcai Zhou, Shandong Wang, Shaohui Jiao, Xing Mei, Tao Hong, Hoyoung Lee, Jiyeun Kim
Based on this, 3D image artifacts are shown to be effectively removed in a test TLA-IID with challenging misalignments.