266 citations · 435 across the 5 of their papers we have counts for
6 papers
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…
Gaze Estimation for Assisted Living Environments
Philipe A. Dias, Damiano Malafronte, Henry Medeiros +1
Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects. To accomplish this g…
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…
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…
Apple Flower Detection using Deep Convolutional Networks
Philipe A. Dias, Amy Tabb, Henry Medeiros
To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be removed early in the growing season. The proportion to be removed is determined by the b…
Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections
Philipe A. Dias, Henry Medeiros
Despite recent improvements using fully convolutional networks, in general, the segmentation produced by most state-of-the-art semantic segmentation methods does not show satisfact…