85 citations · 120 across the 6 of their papers we have counts for
7 papers · 1 filter
Structure Guided Lane Detection
Jinming Su, Chao Chen, Ke Zhang +3
Recently, lane detection has made great progress with the rapid development of deep neural networks and autonomous driving. However, there exist three mainly problems including cha…
Topology-Aware Segmentation Using Discrete Morse Theory
Xiaoling Hu, Yusu Wang, Li Fuxin +2
In the segmentation of fine-scale structures from natural and biomedical images, per-pixel accuracy is not the only metric of concern. Topological correctness, such as vessel conne…
Localization in the Crowd with Topological Constraints
Shahira Abousamra, Minh Hoai, Dimitris Samaras +1
We address the problem of crowd localization, i.e., the prediction of dots corresponding to people in a crowded scene. Due to various challenges, a localization method is prone to…
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…
Deep Variational Instance Segmentation
Jialin Yuan, Chao Chen, Li Fuxin
Instance Segmentation, which seeks to obtain both class and instance labels for each pixel in the input image, is a challenging task in computer vision. State-of-the-art algorithms…