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ORCIDShreekant Gayaka
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2020 – today
- 2024
[j6]Anthony Opipari
, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins:
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation. IEEE Robotics Autom. Lett. 9(12): 11409-11416 (2024)- [i5]Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka, Ming-Feng Li, Xin Yang, Cheng-Hao Kuo, Arnie Sen, Min Sun, Zhaozheng Yin:
Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors. CoRR abs/2410.09467 (2024) - [i4]Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins:
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation. CoRR abs/2410.12995 (2024) - 2023
- [j5]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): 3709-3716 (2023) - 2022
- [i3]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 abs/2212.11922 (2022)
2010 – 2019
- 2019
- [i2]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 abs/1902.04604 (2019) - 2018
- [j4]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: 173-182 (2018) - [c4]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: 763-769 - 2017
- [j3]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): 855-867 (2017) - [j2]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): 1105 (2017) - 2016
- [c3]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: 992-999 - [i1]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 abs/1605.02699 (2016) - 2012
- [j1]Shreekant Gayaka, Lu Lu, Bin Yao:
Global stabilization of a chain of integrators with input saturation and disturbances: A new approach. Autom. 48(7): 1389-1396 (2012) - 2011
- [c2]Shreekant Gayaka, Bin Yao:
Adaptive robust actuator fault-tolerant control in presence of input saturation. ACC 2011: 3766-3771 - [c1]Shreekant Gayaka, Bin Yao:
Global stabilization of a chain of integrators with input saturation and disturbances. ACC 2011: 3784-3789
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