1 code implementation • 15 Mar 2019 • Amy Tabb, Henry Medeiros, Mitchell J. Feldmann, Thiago T. Santos
Infrastructure-based approaches are not suitable for stationary camera systems, and pattern-based approaches may constrain camera placement because shared fields of view or extremely large patterns are required.
2 code implementations • 18 Feb 2019 • Philipe A. Dias, Zhou Shen, Amy Tabb, Henry Medeiros
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.
2 code implementations • 24 Feb 2017 • Amy Tabb, Henry Medeiros
We consider the problem of extracting curve skeletons of three-dimensional, elongated objects given a noisy surface, which has applications in agricultural contexts such as extracting the branching structure of plants.
1 code implementation • 10 Sep 2022 • Abubakar Siddique, Amy Tabb, Henry Medeiros
We employ a data augmentation and refinement approach to improve the accuracy of the model predictions.
no code implementations • 24 Feb 2017 • Amy Tabb, Henry Medeiros
Segmentation in dynamic outdoor environments can be difficult when the illumination levels and other aspects of the scene cannot be controlled.
no code implementations • 21 Feb 2018 • Philipe A. Dias, Henry Medeiros
The re-labeling approach employs a region growing mechanism that aggregates these pixels to neighboring areas with high confidence scores and similar appearance.
no code implementations • 17 Sep 2018 • 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.
no code implementations • 17 Jul 2017 • Amy Tabb, Henry Medeiros
The autonomous measurement of tree traits, such as branching structure, branch diameters, branch lengths, and branch angles, is required for tasks such as robotic pruning of trees as well as structural phenotyping.
Robotics
no code implementations • 19 Sep 2019 • Philipe A. Dias, Damiano Malafronte, Henry Medeiros, Francesca Odone
Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects.
no code implementations • 12 May 2020 • Philipe A. Dias, Henry Medeiros
Experiments using multiple modern semantic segmentation networks and benchmark datasets demonstrate the effectiveness of our approach for the refinement of segmentation predictions at different levels of coarseness, as well as the suitability of the variance estimates obtained in the Monte Carlo iterations as uncertainty measures that are highly correlated with segmentation accuracy.
no code implementations • 11 Jun 2020 • Reza Jalil Mozhdehi, Henry Medeiros
We propose a novel particle filter for convolutional-correlation visual trackers.
1 code implementation • 14 Jul 2020 • Abubakar Siddique, Reza Jalil Mozhdehi, Henry Medeiros
The feature vectors and the constraints graphs are then provided to the kmeans clustering algorithm to separate the corresponding data points in the latent space.
no code implementations • 15 Jul 2020 • Abubakar Siddique, Henry Medeiros
The multiple hypothesis tracking algorithm then keeps track of the temporal identifiers of the targets based on the cluster centroids.
no code implementations • 7 Jul 2021 • Reza Jalil Mozhdehi, Henry Medeiros
This work proposes a novel framework for visual tracking based on the integration of an iterative particle filter, a deep convolutional neural network, and a correlation filter.
no code implementations • 31 Dec 2022 • Abubakar Siddique, Henry Medeiros
Our SSL approach improves object detection by employing a test-time data augmentation and a regression-based, rotation-invariant pseudo-label refinement technique.