HandVQA Accepted
Our paper on diagnosing and improving fine-grained spatial reasoning about hands in vision-language models has been accepted to CVPR 2026.
MD Khalequzzaman Chowdhury Sayem
Researcher, Vision & Learning Lab (UNIST), South Korea
I am a researcher at the Vision & Learning Lab at UNIST, working under the supervision of Prof. Seungryul Baek and Prof. Binod Bhattarai. My research focuses on multimodal learning and vision-language models, with an emphasis on structured and grounded reasoning in complex visual environments, particularly involving articulated hands and human-object interactions.
My recent work develops large-scale benchmarks and real-time Transformer architectures that integrate explicit 3D geometric supervision into multimodal models, improving fine-grained spatial reasoning reliability and cross-task generalization.
I am currently interested in advancing multimodal foundation models toward more reliable and interpretable reasoning, with long-term directions in grounded world models and embodied multimodal systems that integrate perception, language, and action.
I am always open to collaborations and discussions. If you are interested in my research or have any inquiries, feel free to reach out to me at khalequzzamansayem@unist.ac.kr.
