12 citations · 16 across the 5 of their papers we have counts for
5 papers
Pixel-Grounded Prototypical Part Networks
Zachariah Carmichael, Suhas Lohit, Anoop Cherian +2
Prototypical part neural networks (ProtoPartNNs), namely PROTOPNET and its derivatives, are an intrinsically interpretable approach to machine learning. Their prototype learning sc…
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
Fabien Delattre, David Dirnfeld, Phat Nguyen +4
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no pre…
Accuracy and Performance Comparison of Video Action Recognition Approaches
Matthew Hutchinson, Siddharth Samsi, William Arcand +16
Over the past few years, there has been significant interest in video action recognition systems and models. However, direct comparison of accuracy and computational performance re…
Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets
Jeremy Kepner, Chad Meiners, Chansup Byun +23
Our society has never been more dependent on computer networks. Effective utilization of networks requires a detailed understanding of the normal background behaviors of network tr…
Learning a distance function with a Siamese network to localize anomalies in videos
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
This work introduces a new approach to localize anomalies in surveillance video. The main novelty is the idea of using a Siamese convolutional neural network (CNN) to learn a dista…