Researcher at UNIST Vision & Learning Lab
3D Vision · Vision-Language Models · Geometry-Grounded Multimodal Reasoning

I am a researcher at the Vision & Learning Lab, UNIST, South Korea, working under the supervision of Prof. Seungryul Baek and Prof. Binod Bhattarai.

My work focuses on multimodal learning, vision-language models, and geometry-grounded reasoning in visually complex environments, especially for articulated hands and hand-object interaction.

I am interested in building multimodal systems that reason more reliably about 3D structure, spatial relationships, and fine-grained interactions, with longer-term goals in grounded world models and embodied multimodal intelligence.

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

• Large-scale benchmark grounded in 3D hand geometry
• Covers joint angles, distances, and relative spatial relations
• Shows explicit 3D supervision improves reliability and cross-task generalization

Project Page

QORT-Former: Query-Optimized Real-Time Transformer for Understanding Two Hands Manipulating Objects

• Real-time Transformer for two-hand and object 3D pose estimation
• Balances efficiency and accuracy for practical deployment
• Outperforms prior methods on H2O and FPHA while running in real time

Project Page • Paper • Code

I am always open to research discussions, collaborations, and ideas around 3D vision, multimodal learning, and vision-language reasoning.

• Homepage: kcsayem.github.io
• Google Scholar: scholar profile
• LinkedIn: linkedin.com/in/kcsayem
• Email: khalequzzamansayem@unist.ac.kr