18 citations · 30 across the 4 of their papers we have counts for
8 papers
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
Abubakar Siddique, Amy Tabb, Henry Medeiros
Convolutional neural networks trained using manually generated labels are commonly used for semantic or instance segmentation. In precision agriculture, automated flower detection…
Deep Convolutional Likelihood Particle Filter for Visual Tracking
Reza Jalil Mozhdehi, Henry Medeiros
We propose a novel particle filter for convolutional-correlation visual trackers. Our method uses correlation response maps to estimate likelihood distributions and employs these l…
Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing
Philipe A. Dias, Henry Medeiros
Semantic segmentation with fine-grained pixel-level accuracy is a fundamental component of a variety of computer vision applications. However, despite the large improvements provid…
FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces
Philipe A. Dias, Zhou Shen, Amy Tabb +1
Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results. Abundan…
Detecting Invasive Insects with Unmanned Aerial Vehicles
Brian Stumph, Miguel Hernandez Virto, Henry Medeiros +4
A key aspect to controlling and reducing the effects invasive insect species have on agriculture is to obtain knowledge about the migration patterns of these species. Current state…
Multispecies fruit flower detection using a refined semantic segmentation network
Philipe A. Dias, Amy Tabb, Henry Medeiros
In fruit production, critical crop management decisions are guided by bloom intensity, i.e., the number of flowers present in an orchard. Despite its importance, bloom intensity is…