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M. Rahman

5 papers hereh-index 5168 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.IR1
same name
  • M. Rahman — 25 papers, h 25
  • M. Rahman — 12 papers, h 9
  • M. Rahman — 10 papers, h 9
  • M. Rahman — 8 papers, h 2
  • M. Rahman — 4 papers, h 5
  • M. Rahman — 4 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedMovie Recommender Systems: Implementation and Performance Evaluation

6 citations · 6 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

DeepLocalization: Using change point detection for Temporal Action Localization

Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu +1

In this study, we introduce DeepLocalization, an innovative framework devised for the real-time localization of actions tailored explicitly for monitoring driver behavior. Utilizin…

cs.CV2024

The 8th AI City Challenge

Shuo Wang, David C. Anastasiu, Zheng Tang +21

The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (I…

cs.CV2023

The 7th AI City Challenge

Milind Naphade, Shuo Wang, David C. Anastasiu +17

The AI City Challenge's seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business and Intelligent Traffic Systems…

cs.CV2022

Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driver

Mohammed Shaiqur Rahman, Jiyang Wang, Senem Velipasalar Gursoy +3

This article presents a synthetic distracted driving (SynDD2 - a continuum of SynDD1) dataset for machine learning models to detect and analyze drivers' various distracted behavior…

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