Arunabha M. Roy

A fast accurate fine-grain object detection model based on YOLOv4 deep neural network

Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri · Neural Computing and Applications · 2022 · 304 citations

Image Classification, Convolutional Neural Network, Image Analysis +7

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism

Arunabha M. Roy, Jayabrata Bhaduri · Advanced Engineering Informatics · 2023 · 228 citations

Convolutional Neural Network, Machine Vision, Machine Learning +8

WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection

Arunabha M. Roy, Jayabrata Bhaduri, Teerath Kumar et al. · Ecological Informatics · 2022 · 227 citations

Image Classification, Image Analysis, Machine Vision +9

Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4

Arunabha M. Roy, Jayabrata Bhaduri · Computers and Electronics in Agriculture · 2022 · 164 citations

Medical Imaging, Densenet-fused Yolov4, Computational Imaging +5

An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces

Arunabha M. Roy · Biomedical Signal Processing and Control · 2022 · 158 citations

Computational Neuroscience, Neuroinformatics, Brain-machine Interfaces +10