90 citations · 91 across the 8 of their papers we have counts for
3 papers · 1 filter
VisCurate: Evaluating Behavioral Equivalence of Visual Skills
Md Farhan Ishraq, Md Farhan Ishmam, Reaz Hassan Joarder +1
Modern vision-based agents have shifted toward skill-based problem-solving, where a skill is an executable image-to-image operation, e.g., cropping, thresholding, or edge detection…
Visual Robustness Benchmark for Visual Question Answering (VQA)
Md Farhan Ishmam, Ishmam Tashdeed, Talukder Asir Saadat +3
Can Visual Question Answering (VQA) systems perform just as well when deployed in the real world? Or are they susceptible to realistic corruption effects e.g. image blur, which can…
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
Md Farhan Ishmam, Md Sakib Hossain Shovon, M. F. Mridha +1
The multimodal task of Visual Question Answering (VQA) encompassing elements of Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers to questions on…