IEEE

Improving accuracy in Text Extraction From images using Region-Based Convolutional Neural Networks algorithm compared to Convolutional Neural Network algorithm

Abstract: Text extraction is a critical task in data processing and analysis, requiring high accuracy for effective applications. This research employed a publicly accessible Kaggle dataset to assess ...
IEEE

GRU-RVCIM: Efficient Implementation of Gated Recurrent Unit in RISC-V - Compute In Memory co-designed for Edge Applications

Abstract: Gated Recurrent Unit (GRU) is a frequently employed variant of recurrent neural networks (RNNs) that is intended to reduce computational complexity and capture temporal dependencies in ...
GitHub

Neural Importance Sampling of Many Lights

This is the official implementation of the paper, titled "Neural Importance Sampling of Many Lights", to be presented at ACM SIGGRAPH 2025 (conference track). We propose a hybrid neural approach for ...