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 · 321 citations

Computing, Computer Science, Computer Vision +10

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 · 249 citations

Computing, Computer Science, Computer Vision +13

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 · 244 citations

Computing, Autonomous Systems, Computer Science +12

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 · 170 citations

Computing, Computer Science, Meteorology +7

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 · 169 citations

Computing, Computer Science, Neuroscience +17