217 citations · 249 across the 5 of their papers we have counts for
5 papers
Low-Shot Learning with Imprinted Weights
Hang Qi, Matthew Brown, David G. Lowe
Human vision is able to immediately recognize novel visual categories after seeing just one or a few training examples. We describe how to add a similar capability to ConvNet class…
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou, Matthew Brown, Noah Snavely +1
We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. We achieve this by simultaneously trai…
Self-Learning for Player Localization in Sports Video
Kenji Okuma, David G. Lowe, James J. Little
This paper introduces a novel self-learning framework that automates the label acquisition process for improving models for detecting players in broadcast footage of sports games.…
Local Naive Bayes Nearest Neighbor for Image Classification
Sancho McCann, David G. Lowe
We present Local Naive Bayes Nearest Neighbor, an improvement to the NBNN image classification algorithm that increases classification accuracy and improves its ability to scale to…
Semantic Robot Vision Challenge: Current State and Future Directions
Scott Helmer, David Meger, Pooja Viswanathan +9
The Semantic Robot Vision Competition provided an excellent opportunity for our research lab to integrate our many ideas under one umbrella, inspiring both collaboration and new re…