eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Frontiers

MAF-net: multi-receptive attention fusion network with dual-path squeeze-and-excitation enhancement module for uterine fibroid segmentation

Introduction: Uterine fibroids are one of the most common benign tumors affecting the female reproductive system. In clinical practice, ultrasound imaging is widely used in the detection and ...
The New York Times

At some point, Justin Fields will have to throw the ball — it would be nice to see it this summer

EAST RUTHERFORD, N.J. — The way the Jets have run their offense this summer — in preseason games and during training-camp practices — it would be fair to suggest they’re passing on passing. It’s not ...
GitHub

Improving the Effective Receptive Field of Message-Passing Neural Networks [ICML 2025]

Code for additional message-passing protocols, as well as ready-to-use code for all the experiments from the paper, will be released in the near future.
Frontiers

GLN-LRF: global learning network based on large receptive fields for hyperspectral image classification

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...
IEEE

Translated Skip Connections - Expanding the Receptive Fields of Fully Convolutional Neural Networks

Abstract: The effective receptive field of a fully convolutional neural network is an important consideration when designing an architecture, as it defines the portion of the input visible to each ...
IEEE

Large receptive field convolutional neural network for image super-resolution

Abstract: This paper presents a new approach to Single Image Super Resolution (SISR), based upon Convolutional Neural Network (CNN). Although the SISR is ill-posed which can be seen as finding a ...