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.