Temporal amodal leaf completion
This project investigates recovery of occluded plant leaves using RGB-D observations and an identity-matched history across days. The methodology separates mask reconstruction from …
Md. Mahbubur Rahman
PhD Student in Computer Science
I am a Computer Science PhD student and Graduate Research Assistant at the University of Wyoming, working with Dr. Yaqoob Majeed. My research focuses on computer vision, RGB-D perception, and AI for plant phenotyping. I also serve as Research Director at Peer Research Lab in Bangladesh.
TAHAF: RGB-D plant phenotyping
TAHAF uses trait-adaptive hierarchical attention fusion to combine RGB and depth information for lettuce phenotyping in hydroponic systems.
CLFM: climate-informed representation learning
CLFM explores label-efficient plant trait prediction by bringing greenhouse images and climate measurements into a shared learning framework. Current development investigates …
Attention-Based Task-Adaptive Fusion for Real-Time RGB-D Lettuce Morphological Analysis
ASABE Annual International Meeting 2026, Indianapolis, Indiana.