Shreekant Gayaka

According to our database, Shreekant Gayaka authored at least 11 papers between 2011 and 2024.

Collaborative distances:

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

2024

Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation.

Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins

CoRR, 2024

Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors.

Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka, Ming-Feng Li, Xin Yang, Cheng-Hao Kuo, Arnie Sen, Min Sun, Zhaozheng Yin

CoRR, 2024

2023

SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments.

Evin Pinar Örnek, Aravindhan K. Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari

IEEE Robotics Autom. Lett., June, 2023

2018

Deep neural networks for texture classification - A theoretical analysis.

Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka

Neural Networks, 2018

Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.

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

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.

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

Remote. Sens., 2017

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets.

Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani

Neural Process. Lett., 2017

2016

A theoretical analysis of Deep Neural Networks for texture classification.

Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2012

Global stabilization of a chain of integrators with input saturation and disturbances: A new approach.

Shreekant Gayaka, Lu Lu, Bin Yao

Autom., 2012

2011

Global stabilization of a chain of integrators with input saturation and disturbances.

Shreekant Gayaka, Bin Yao

Proceedings of the American Control Conference, 2011

Adaptive robust actuator fault-tolerant control in presence of input saturation.

Shreekant Gayaka, Bin Yao

Proceedings of the American Control Conference, 2011