6 citations · 7 across the 6 of their papers we have counts for
9 papers
Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum
Abby Stylianou, Robert Pless, Nadia Shakoor +1
We introduce a simple approach to understanding the relationship between single nucleotide polymorphisms (SNPs), or groups of related SNPs, and the phenotypes they control. The pip…
Multi-resolution Outlier Pooling for Sorghum Classification
Chao Ren, Justin Dulay, Gregory Rolwes +3
Automated high throughput plant phenotyping involves leveraging sensors, such as RGB, thermal and hyperspectral cameras (among others), to make large scale and rapid measurements o…
The 2021 Hotel-ID to Combat Human Trafficking Competition Dataset
Rashmi Kamath, Gregory Rolwes, Samuel Black +1
Hotel recognition is an important task for human trafficking investigations since victims are often photographed in hotel rooms. Identifying these hotels is vital to trafficking in…
Hard negative examples are hard, but useful
Hong Xuan, Abby Stylianou, Xiaotong Liu +1
Triplet loss is an extremely common approach to distance metric learning. Representations of images from the same class are optimized to be mapped closer together in an embedding s…
TraffickCam: Explainable Image Matching For Sex Trafficking Investigations
Abby Stylianou, Richard Souvenir, Robert Pless
Investigations of sex trafficking sometimes have access to photographs of victims in hotel rooms. These images directly link victims to places, which can help verify where victims…
Visualizing How Embeddings Generalize
Xiaotong Liu, Hong Xuan, Zeyu Zhang +2
Deep metric learning is often used to learn an embedding function that captures the semantic differences within a dataset. A key factor in many problem domains is how this embeddin…