Bharathkumar Ramachandra

According to our database, Bharathkumar Ramachandra authored at least 21 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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., March, 2023

2022

A Survey of Single-Scene Video Anomaly Detection.

Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Real-Time Change Detection At the Edge.

Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Perceptual metric learning for video anomaly detection.

Bharathkumar Ramachandra, Michael Jones, Ranga Raju Vatsavai

Mach. Vis. Appl., 2021

2020

Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification.

Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai

CoRR, 2020

Learning a distance function with a Siamese network to localize anomalies in videos.

Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Street Scene: A new dataset and evaluation protocol for video anomaly detection.

Bharathkumar Ramachandra, Michael J. Jones

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery.

Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Local Clustering with Mean Teacher for Semi-supervised learning.

Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Anomalous cluster detection in spatiotemporal meteorological fields.

Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai

Stat. Anal. Data Min., 2019

Estimating a Manifold from a Tangent Bundle Learner.

Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai

CoRR, 2019

NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images.

Anushree Ramanath, Saipreethi Muthusrinivasan, Yiqun Xie, Shashi Shekhar, Bharathkumar Ramachandra

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors.

Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Jaime Puente

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition.

Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition.

Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

geoEdge: a real-time analytics framework for geospatial applications.

Ranga Raju Vatsavai, Bharathkumar Ramachandra, Zexi Chen, John Jernigan

Proceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2019

2018

Relational Long Short-Term Memory for Video Action Recognition.

Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai

CoRR, 2018

2017

Hierarchical change detection framework for biomass monitoring.

Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Detecting Extreme Events in Gridded Climate Data.

Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Dale P. Kaiser, Thomas P. Karnowski

Proceedings of the International Conference on Computational Science 2016, 2016

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

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016