Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. - Zexi Chen; Ranga Raju Vatsavai; Bharathkumar Ramachandra; Qiang Zhang; Nagendra Singh; Sreenivas R. Sukumar 001 (IEEE BigData, 2016)

Detecting Extreme Events in Gridded Climate Data. - Bharathkumar Ramachandra; Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Dale P. Kaiser; Thomas P. Karnowski (ICCS, 2016)

Hierarchical change detection framework for biomass monitoring. - Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (IGARSS, 2017)

Relational Long Short-Term Memory for Video Action Recognition. - Zexi Chen; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (CoRR, 2018)

geoEdge: a real-time analytics framework for geospatial applications. - Ranga Raju Vatsavai; Bharathkumar Ramachandra; Zexi Chen; John Jernigan (BigSpatial@SIGSPATIAL, 2019)

Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ranga Raju Vatsavai (ICDM Workshops, 2019)

Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ashwin Shashidharan; Benjamin Dutton; Ranga Raju Vatsavai (ICMLA, 2019)

Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ranga Raju Vatsavai (IGARSS, 2019)

Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. - Bharathkumar Ramachandra; Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Jaime Puente (IGARSS, 2019)

NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images. - Anushree Ramanath; Saipreethi Muthusrinivasan; Yiqun Xie; Shashi Shekhar 001; Bharathkumar Ramachandra (IGARSS, 2019)

Estimating a Manifold from a Tangent Bundle Learner. - Bharathkumar Ramachandra; Benjamin Dutton; Ranga Raju Vatsavai (CoRR, 2019)

Anomalous cluster detection in spatiotemporal meteorological fields. - Bharathkumar Ramachandra; Benjamin Dutton; Ranga Raju Vatsavai (Stat. Anal. Data Min., 2019)

Local Clustering with Mean Teacher for Semi-supervised learning. - Zexi Chen; Benjamin Dutton; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (ICPR, 2020)

Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Zexi Chen; Ranga Raju Vatsavai (KDD, 2020)

Street Scene: A new dataset and evaluation protocol for video anomaly detection. - Bharathkumar Ramachandra; Michael J. Jones 001 (WACV, 2020)

Learning a distance function with a Siamese network to localize anomalies in videos. - Bharathkumar Ramachandra; Michael J. Jones 001; Ranga Raju Vatsavai (WACV, 2020)

Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. - Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (CoRR, 2020)

Perceptual metric learning for video anomaly detection. - Bharathkumar Ramachandra; Michael Jones 002; Ranga Raju Vatsavai (Mach. Vis. Appl., 2021)

Real-Time Change Detection At the Edge. - Krishna Karthik Gadiraju; Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (ICMLA, 2022)

A Survey of Single-Scene Video Anomaly Detection. - Bharathkumar Ramachandra; Michael J. Jones 001; Ranga Raju Vatsavai (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. - Antonio Barbalau; Radu Tudor Ionescu; Mariana-Iuliana Georgescu; Jacob V. Dueholm; Bharathkumar Ramachandra; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (Comput. Vis. Image Underst., 2023)