Rishi Ramakrishnan

Shadow compensation for outdoor perception

Rishi Ramakrishnan, Juan I. Nieto, Steve Scheding, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Verification of Sky Models for Image Calibration

Rishi Ramakrishnan, Juan I. Nieto, Steve Scheding, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Pretraining for Hyperspectral Convolutional Neural Network Classification

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2018, IEEE Transactions on Geoscience and Remote Sensing.

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

Stefan B. Williams, Craig T. Jin, Rishi Ramakrishnan, 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep learning approach to passive monitoring of the underwater acoustic environment

Stefan B. Williams, Rishi Ramakrishnan, Craig Jin, 2016 .

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

Sildomar T. Monteiro, Richard J. Murphy, Rishi Ramakrishnan, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2019, Remote. Sens..

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

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2018, IEEE Transactions on Image Processing.

Illumination Invariant Outdoor Perception

Rishi Ramakrishnan, R. Ramakrishnan, 2015 .

Hyperspectral CNN Classification with Limited Training Samples pdf

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2016, BMVC.