All research areas
Research
Computer Vision
Perception systems that hold up in bad light and worse weather.
Benchmark accuracy is the beginning of the conversation. We care about the long tail: occlusion, motion blur, domain shift, and the edge device that has to run all of it on a power budget.
What this looks like in practice
- Detection, tracking, and pose estimation
- Edge-deployed inference on constrained hardware
- Visual inspection and anomaly detection
- Dataset curation and active learning loops
- Domain adaptation and synthetic data
Related publications
- Hybrid Retrieval-Augmented Framework for Low-Resource Bangla Visual Question AnsweringMd Mahmudul Hoque · 2 September 2026
- Deep Vision for Rail Safety: Real-Time Object Detection at Level CrossingsMd Mahmudul Hoque · 2 September 2026
- HybridADNet: A Multi-Paradigm Deep Learning Framework for Alzheimer's Disease Diagnosis from Brain MRIMd Mahmudul Hoque, Md Kawser Islam, Ohidujjaman, Abdullah Rakib Akand, Mahmudul Hasan · 2 September 2026
- HybridVirusNet: A Hybrid Detection–Classification Framework for Multi-Class Virus Identification in TEM ImagesMd Mahmudul Hoque · 2 September 2026
- HyConDViT-Net: A Vision-Based Hybrid Deep Learning Approach Integrating CNNs, Vision Transformers, and Detection Backbones for PCOS Detection from Ultrasound ImagingMd Kawser Islam, Md Mahmudul Hoque, Md. Saiful Islam, Md. Sourav Talukder, Abdullah Rakib Akand, Mahmudul Hasan · 2 September 2026
- Designing for the device people actually ownMd Sharif Mollah · 10 July 2026