Shreekant Gayaka

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 9

Top Topics

Theoretical Analysis

Satellite Images

Feature Representations

Top Venues

IEEE Robotics Autom. Lett.

Publications

Evin Pinar Örnek, Aravindhan K. Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments. IEEE Robotics Autom. Lett. 8 (6) (2023)
Evin Pinar Örnek, Aravindhan K. Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments. CoRR (2022)
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR (2019)
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops (2018)
Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
Deep neural networks for texture classification - A theoretical analysis. Neural Networks 97 (2018)
Uttam Kumar, Sangram Ganguly, Ramakrishna R. Nemani, S. Kumar Raja, Cristina Milesi, Ruchita Sinha, Andrew R. Michaelis, Petr Votava, Hirofumi Hashimoto, Shuang Li, Weile Wang, Subodh Kalia, Shreekant Gayaka
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote. Sens. 9 (11) (2017)
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Process. Lett. 45 (3) (2017)
Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka
A theoretical analysis of Deep Neural Networks for texture classification. IJCNN (2016)
Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
A Theoretical Analysis of Deep Neural Networks for Texture Classification. CoRR (2016)
Shreekant Gayaka, Lu Lu, Bin Yao
Global stabilization of a chain of integrators with input saturation and disturbances: A new approach. Autom. 48 (7) (2012)
Shreekant Gayaka, Bin Yao
Global stabilization of a chain of integrators with input saturation and disturbances. ACC (2011)
Shreekant Gayaka, Bin Yao
Adaptive robust actuator fault-tolerant control in presence of input saturation. ACC (2011)