Rishi Ramakrishnan

According to our database, Rishi Ramakrishnan authored at least 9 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders.

Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan

Remote. Sens., 2019

2018

A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images.

Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy

IEEE Trans. Image Process., 2018

Pretraining for Hyperspectral Convolutional Neural Network Classification.

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Rishi Ramakrishnan

IEEE Trans. Geosci. Remote. Sens., 2018

2017

Convolutional neural networks for passive monitoring of a shallow water environment using a single sensor.

Eric L. Ferguson, Rishi Ramakrishnan, Stefan B. Williams, Craig T. Jin

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Hyperspectral CNN Classification with Limited Training Samples.

Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Illumination Invariant Outdoor Perception.

Rishi Ramakrishnan

PhD thesis, 2016

2015

Shadow compensation for outdoor perception.

Rishi Ramakrishnan, Juan I. Nieto, Steve Scheding

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013

Combining strong features for registration of hyperspectral and lidar data from field-based platforms.

Sildomar T. Monteiro, Juan I. Nieto, Richard J. Murphy, Rishi Ramakrishnan, Zachary Taylor

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Verification of Sky Models for Image Calibration.

Rishi Ramakrishnan, Juan I. Nieto, Steve Scheding

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013