21 citations · 25 across the 8 of their papers we have counts for
9 papers
From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening from Hand-Drawn Patterns
Aritra Dey, Utsav Kumar Nareti, Chandranath Adak +3
Parkinson's disease (PD) manifests early neuromotor impairments that become observable in controlled hand-drawn patterns such as spirals and meanders, where tremor-induced oscillat…
UBLLIE: Unified Backlight and Low-Light Image Enhancement
Yasmin Yasin, Muhammad Usman, Ibrahim Radwan +1
Backlit and low-light images often suffer from severe exposure imbalance or global underexposure, presenting significant challenges for both visual perception and downstream comput…
Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?
Yang Liu, Jiyao Yang, Hongjin Zhao +10
Large vision-language models (LVLMs) demonstrate strong performance in dermatology; however, evaluating diagnostic reasoning for rare conditions remains largely unexplored. Existin…
PENDULUM: A Benchmark for Assessing Sycophancy in Multimodal Large Language Models
A. B. M. Ashikur Rahman, Saeed Anwar, Muhammad Usman +2
Sycophancy, an excessive tendency of AI models to agree with user input at the expense of factual accuracy or in contradiction of visual evidence, poses a critical and underexplore…
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment
Mohammed Alsaafin, Musab Alsheikh, Saeed Anwar +1
The no-reference image quality assessment is a challenging domain that addresses estimating image quality without the original reference. We introduce an improved mechanism to extr…
DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation
A B M Ashikur Rahman, Saeed Anwar, Muhammad Usman +1
Large Language Models (LLMs) have demonstrated remarkable capabilities, revolutionizing the integration of AI in daily life applications. However, they are prone to hallucinations,…
Bird Eye-View to Street-View: A Survey
Khawlah Bajbaa, Muhammad Usman, Saeed Anwar +2
In recent years, street view imagery has grown to become one of the most important sources of geospatial data collection and urban analytics, which facilitates generating meaningfu…
Deep Models for Multi-View 3D Object Recognition: A Review
Mona Alzahrani, Muhammad Usman, Salma Kammoun +2
Human decision-making often relies on visual information from multiple perspectives or views. In contrast, machine learning-based object recognition utilizes information from a sin…
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
Muhammad Hamza Asad, Saeed Anwar, Abdul Bais
Modern agriculture heavily relies on Site-Specific Farm Management practices, necessitating accurate detection, localization, and quantification of crops and weeds in the field, wh…