53 citations · 427 across the 43 of their papers we have counts for
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cs.CV2023★ 6 cited
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
Mihir Durve, Sibilla Orsini, Adriano Tiribocchi +6
Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a tool to analyze general microfluidic videos to infer physical quantities. The state-of…
cs.CV2022★ 48 cited
DropTrack -- automatic droplet tracking using deep learning for microfluidic applications
Mihir Durve, Adriano Tiribocchi, Fabio Bonaccorso +5
Deep neural networks are rapidly emerging as data analysis tools, often outperforming the conventional techniques used in complex microfluidic systems. One fundamental analysis fre…