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MD Khalequzzaman Chowdhury Sayem

2 accepted papers

2026

HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models

CVPR 2026

Understanding the fine-grained articulation of human hands is critical in high-stakes settings such as robot-assisted surgery, chip manufacturing, and AR/VR-based human-AI interaction. Despite achieving near-human performance on general vision-language benchmarks, current vision-language models (VLM

Cited by 0SourceScholar
2025

QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects

AAAI 2025technical

Significant advancements have been achieved in the realm of understanding poses and interactions of two hands manipulating an object. The emergence of augmented reality (AR) and virtual reality (VR) technologies has heightened the demand for real-time performance in these applications. However, curr…

Cited by 1SourcePDFScholar