1 citations · 1 across the 4 of their papers we have counts for
4 papers
Difix3D-W: Distractor-Free Few-Shot 3D Gaussian Splatting in the Wild
Wongi Park, Jordan A. James, Myeongseok Nam +4
We propose Difix3D-W, a 3D novel sparse-view synthesis framework for unconstrained real-world scenarios that contain distractors, occlusion, and appearance variation. Unlike existi…
CropTrack: A Tracking with Re-Identification Framework for Precision Agriculture
Md Ahmed Al Muzaddid, Jordan A. James, William J. Beksi
Multiple-object tracking (MOT) in agricultural environments presents major challenges due to repetitive patterns, similar object appearances, sudden illumination changes, and frequ…
Few-Shot Fruit Segmentation via Transfer Learning
Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp +1
Advancements in machine learning, computer vision, and robotics have paved the way for transformative solutions in various domains, particularly in agriculture. For example, accura…
CitDet: A Benchmark Dataset for Citrus Fruit Detection
Jordan A. James, Heather K. Manching, Matthew R. Mattia +3
In this letter, we present a new dataset to advance the state of the art in detecting citrus fruit and accurately estimate yield on trees affected by the Huanglongbing (HLB) diseas…