8 citations · 18 across the 4 of their papers we have counts for
5 papers
GPT-5 vs Other LLMs in Long Short-Context Performance
Nima Esmi, Maryam Nezhad-Moghaddam, Fatemeh Borhani +3
With the significant expansion of the context window in Large Language Models (LLMs), these models are theoretically capable of processing millions of tokens in a single pass. Howe…
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey
Bahareh Ghari, Ali Tourani, Asadollah Shahbahrami +1
Pedestrian detection remains a critical problem in various domains, such as computer vision, surveillance, and autonomous driving. In particular, accurate and instant detection of…
A Robust Pedestrian Detection Approach for Autonomous Vehicles
Bahareh Ghari, Ali Tourani, Asadollah Shahbahrami
Nowadays, utilizing Advanced Driver-Assistance Systems (ADAS) has absorbed a huge interest as a potential solution for reducing road traffic issues. Despite recent technological ad…
Iranis: A Large-scale Dataset of Farsi License Plate Characters
Ali Tourani, Sajjad Soroori, Asadollah Shahbahrami +1
Providing huge amounts of data is a fundamental demand when dealing with Deep Neural Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in the a…
Evaluation of Huffman and Arithmetic Algorithms for Multimedia Compression Standards
Asadollah Shahbahrami, Ramin Bahrampour, Mobin Sabbaghi Rostami +1
Compression is a technique to reduce the quantity of data without excessively reducing the quality of the multimedia data. The transition and storing of compressed multimedia data…