2 citations · 2 across the 3 of their papers we have counts for
4 papers
FrameHopper: Selective Processing of Video Frames in Detection-driven Real-Time Video Analytics
Md Adnan Arefeen, Sumaiya Tabassum Nimi, Md Yusuf Sarwar Uddin
Detection-driven real-time video analytics require continuous detection of objects contained in the video frames using deep learning models like YOLOV3, EfficientDet. However, runn…
EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference
Sumaiya Tabassum Nimi, Md Adnan Arefeen, Md Yusuf Sarwar Uddin +1
Collaborative inference enables resource-constrained edge devices to make inferences by uploading inputs (e.g., images) to a server (i.e., cloud) where the heavy deep learning mode…
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
Md Adnan Arefeen, Sumaiya Tabassum Nimi, Md Yusuf Sarwar Uddin +1
In this paper, we propose a transfer-learning based model construction technique for the aerial scene classification problem. The core of our technique is a layer selection strateg…
Neural Network Based Undersampling Techniques
Md. Adnan Arefeen, Sumaiya Tabassum Nimi, M Sohel Rahman
Class imbalance problem is commonly faced while developing machine learning models for real-life issues. Due to this problem, the fitted model tends to be biased towards the majori…