1 citations · 1 across the 12 of their papers we have counts for
5 papers · 1 filter
UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow
Nick Truong, Pritam P. Karmokar, William J. Beksi
Underwater imaging is fundamentally challenging due to wavelength-dependent light attenuation, strong scattering from suspended particles, turbidity-induced blur, and non-uniform i…
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision
Pritam P. Karmokar, Quan H. Nguyen, William J. Beksi
Event cameras capture the motion of intensity gradients (edges) in the image plane in the form of rapid asynchronous events. When accumulated in 2D histograms, these events depict…
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…
Evaluating Uncertainty Calibration for Open-Set Recognition
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
Despite achieving enormous success in predictive accuracy for visual classification problems, deep neural networks (DNNs) suffer from providing overconfident probabilities on out-o…