7 citations · 21 across the 9 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 3 cited
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…
cs.CV2019★ 7 cited
Improved Embeddings with Easy Positive Triplet Mining
Hong Xuan, Abby Stylianou, Robert Pless
Deep metric learning seeks to define an embedding where semantically similar images are embedded to nearby locations, and semantically dissimilar images are embedded to distant loc…
cs.CV2019
Hotels-50K: A Global Hotel Recognition Dataset
Abby Stylianou, Hong Xuan, Maya Shende +3
Recognizing a hotel from an image of a hotel room is important for human trafficking investigations. Images directly link victims to places and can help verify where victims have b…