| A fast accurate fine-grain object detection model based on YOLOv4 deep neural network AM Roy, R Bose, J Bhaduri Neural Computing and Applications 34 (5), 3895-3921, 2022 | 197 | 2022 |
| Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4 AM Roy, J Bhaduri Computers and Electronics in Agriculture 193, 106694, 2022 | 119 | 2022 |
| A deep learning enabled multi-class plant disease detection model based on computer vision AM Roy, J Bhaduri Ai 2 (3), 413-428, 2021 | 111 | 2021 |
| WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection AM Roy, J Bhaduri, T Kumar, K Raj Ecological Informatics 75, 101919, 2023 | 107 | 2023 |
| DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism AM Roy, J Bhaduri Advanced Engineering Informatics 56, 102007, 2023 | 74 | 2023 |
| A computer vision enabled damage detection model with improved yolov5 based on transformer prediction head AM Roy, J Bhaduri arXiv preprint arXiv:2303.04275, 2023 | 23 | 2023 |
| A computer vision-based object localization model for endangered wildlife detection AM Roy, J Bhaduri, T Kumar, K Raj Ecological Economics, Forthcoming, 2022 | 11 | 2022 |
| A deep learning enabled multi-class plant disease detection model based on computer vision. AI. 2, 413–428 AM Roy, J Bhaduri | 6 | 2021 |
