Bharathkumar Ramachandra

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 26

Top Topics

Nearest Neighbor

Gaussian Processes

Satellite Imagery

Top Venues

Publications

Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah
SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Comput. Vis. Image Underst. 229 (2023)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
A Survey of Single-Scene Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection. CoRR (2022)
Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Real-Time Change Detection At the Edge. ICMLA (2022)
Bharathkumar Ramachandra, Michael Jones, Ranga Raju Vatsavai
Perceptual metric learning for video anomaly detection. Mach. Vis. Appl. 32 (3) (2021)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
Learning a distance function with a Siamese network to localize anomalies in videos. WACV (2020)
Bharathkumar Ramachandra, Michael J. Jones
Street Scene: A new dataset and evaluation protocol for video anomaly detection. WACV (2020)
Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. CoRR (2020)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
A Survey of Single-Scene Video Anomaly Detection. CoRR (2020)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai
Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. KDD (2020)
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Local Clustering with Mean Teacher for Semi-supervised learning. ICPR (2020)
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR (2020)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
Learning a distance function with a Siamese network to localize anomalies in videos. CoRR (2020)
Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai
Estimating a Manifold from a Tangent Bundle Learner. CoRR (2019)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. ICDM Workshops (2019)
Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Jaime Puente
Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. IGARSS (2019)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai
Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. ICMLA (2019)
Ranga Raju Vatsavai, Bharathkumar Ramachandra, Zexi Chen, John Jernigan
geoEdge: a real-time analytics framework for geospatial applications. BigSpatial@SIGSPATIAL (2019)
Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai
Anomalous cluster detection in spatiotemporal meteorological fields. Stat. Anal. Data Min. 12 (2) (2019)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. IGARSS (2019)
Anushree Ramanath, Saipreethi Muthusrinivasan, Yiqun Xie, Shashi Shekhar, Bharathkumar Ramachandra
NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images. IGARSS (2019)
Bharathkumar Ramachandra, Michael J. Jones
Street Scene: A new dataset and evaluation protocol for video anomaly detection. CoRR (2019)
Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Relational Long Short-Term Memory for Video Action Recognition. CoRR (2018)
Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Hierarchical change detection framework for biomass monitoring. IGARSS (2017)
Zexi Chen, Ranga Raju Vatsavai, Bharathkumar Ramachandra, Qiang Zhang, Nagendra Singh, Sreenivas Sukumar
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. IEEE BigData (2016)
Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Dale P. Kaiser, Thomas P. Karnowski
Detecting Extreme Events in Gridded Climate Data. ICCS (2016)