◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Muhammad Imran Zaman

3 papers here

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedA Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic

13 citations · 13 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2025

Do LLMs Know They Are Being Tested? Evaluation Awareness and Incentive-Sensitive Failures in GPT-OSS-20B

Nisar Ahmed, Muhammad Imran Zaman, Gulshan Saleem +1

Benchmarks for large language models (LLMs) often rely on rubric-scented prompts that request visible reasoning and strict formatting, whereas real deployments demand terse, contra…

cs.CV2025

Deep Learning-Based Age Estimation and Gender Deep Learning-Based Age Estimation and Gender Classification for Targeted Advertisement

Muhammad Imran Zaman, Nisar Ahmed

This paper presents a novel deep learning-based approach for simultaneous age and gender classification from facial images, designed to enhance the effectiveness of targeted advert…

cs.CV2025★ 13 cited

A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic

Muhammad Imran Zaman, Usama Ijaz Bajwa, Gulshan Saleem +1

Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for traffic monitoring, management, and optimization as the number of network cameras continu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.