Md Alimoor Reza
Scholar

Md Alimoor Reza

Google Scholar ID: RXcEJocAAAAJ
Assistant Professor, Drake University
Computer VisionRobotics
Citations & Impact
All-time
Citations
374
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Blending 3D geometry and Machine Learning for Multi-view stereopsis. Published in Neurocomputing (Neurocomputing 2025).
  • HVPUNet: Hybrid-Voxel Point-cloud Upsampling Network. Presented at IEEE International Conference on Computer Vision (ICCV 2025).
  • Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding. Presented at IEEE International Conference on Robotics and Automation (ICRA 2025).
  • SegBuilder: A Semi-automatic Annotation Tool for Segmentation. Presented at IEEE Winter Conference on Applications of Computer Vision (WACV 2025).
  • A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals’ Navigation. Poster presented at 26th ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024).
  • Deep Learning-based 3D Reconstruction from Multiple Images: A Survey. Published in Neurocomputing (Neurocomputing 2024).
  • Unsupervised Human Fatigue Expression Discovery via Time Series Chain. Paper presented at Data Science for Smart Manufacturing and Healthcare Workshop (SDM'24).
  • GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo. Presented at IEEE Winter Conference on Applications of Computer Vision (WACV 2024).
  • Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models. Paper presented at 2nd Workshop on Pretraining (WACVw 2024).
  • Examining Student Use of AI in CS1 and CS2. Paper presented at CCSC Central Plains Region Conference (CCSC 2024).
  • Robot-Mediated Assistance: Opportunities and Challenges in Computer Vision and Human-Robot Interaction. Published by Taylor & Francis (2024).
  • Few-shot Segmentation and Semantic Segmentation for Underwater Imagery. Presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023).
  • Legal NLP in English to Analyze the Independent Contractor - Employee Classification. Paper presented at Workshop (TREO: Technology, Research, Education, and Opinion) in conjunction with International Conference on Information System (ICIS) 2022.
  • Error Diagnosis of Deep Monocular Depth Estimation Models. Presented at IEEE/RSJ International Conference on Intelligent Robots and Systems.
Research Experience
  • Serves as an Assistant Professor and leads the Computer Vision and Robotics Lab at Drake University.
Background
  • Assistant Professor in the Department of Mathematics and Computer Sciences at Drake University; leads the Computer Vision and Robotics Lab at Drake.
Miscellany
  • Personal interests not provided.