activity
20232026
most citedDefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…