Search Results for author: Tao Hong

Found 9 papers, 5 papers with code

Coherent Wave Dynamics and Language Generation of a Generative Pre-trained Transformer

no code implementations8 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.

Text Generation

PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs

1 code implementation7 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.

Retrieval

Diffraction Tomography with Helmholtz Equation: Efficient and Robust Multigrid-Based Solver

no code implementations8 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.

Solving RED with Weighted Proximal Methods

1 code implementation30 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.

Denoising

Acceleration of RED via Vector Extrapolation

1 code implementation6 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.

Denoising

Optimized Structured Sparse Sensing Matrices for Compressive Sensing

no code implementations19 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.

Compressive Sensing Image Compression

Online Learning Sensing Matrix and Sparsifying Dictionary Simultaneously for Compressive Sensing

1 code implementation4 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.

Compressive Sensing

An Efficient Method for Robust Projection Matrix Design

1 code implementation27 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.

Compressive Sensing

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