180 citations · 252 across the 20 of their papers we have counts for
4 papers · 1 filter
KeyPointDiffuser: Unsupervised 3D Keypoint Learning via Latent Diffusion Models
Rhys Newbury, Juyan Zhang, Tin Tran +2
Understanding and representing the structure of 3D objects in an unsupervised manner remains a core challenge in computer vision and graphics. Most existing unsupervised keypoint m…
HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees
Zijue Chen, Keenan Granland, Rhys Newbury +1
Orchard automation has attracted the attention of researchers recently due to the shortage of global labor force. To automate tasks in orchards such as pruning, thinning, and harve…
Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning
Zijue Chen, David Ting, Rhys Newbury +1
Fruit tree pruning and fruit thinning require a powerful vision system that can provide high resolution segmentation of the fruit trees and their branches. However, recent works on…
Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology
Keenan Granland, Rhys Newbury, David Ting +1
Training of convolutional neural networks for semantic segmentation requires accurate pixel-wise labeling which requires large amounts of human effort. The human-in-the-loop method…