no code implementations • ICCV 2023 • Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik Learned-Miller
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video.
no code implementations • CVPR 2023 • Ashish Singh, Michael J. Jones, Erik Learned-Miller
We develop a novel framework for single-scene video anomaly localization that allows for human-understandable reasons for the decisions the system makes.
Ranked #16 on Anomaly Detection on ShanghaiTech
no code implementations • 8 Sep 2022 • Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury
In such cases, transferring knowledge from a neural network trained on a well-labeled large dataset in the source modality (RGB) to a neural network that works on a target modality (depth, infrared, etc.)
no code implementations • 13 Apr 2020 • Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
This survey article summarizes research trends on the topic of anomaly detection in video feeds of a single scene.
no code implementations • 24 Jan 2020 • Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
The learned distance function, which is not specific to the target video, is used to measure the distance between each video patch in the testing video and the video patches found in normal training video.
Ranked #18 on Anomaly Detection on CUHK Avenue