Shreekant Gayaka

20 papers A* 1A 1B 1C 2Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors.
IROS
Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka, Ming-Feng Li, Xin Yang, Cheng-Hao Kuo, Arnie Sen, Min Sun, Zhaozheng Yin
2025 J jnl
Explicit Memory Through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation.
IEEE Robotics Autom. Lett.
Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins
2025 J jnl
Explicit Memory through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation.
CoRR
Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins
2025 A* conf
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References.
CVPR
Ming-Feng Li, Xin Yang, Fu-En Wang, Hritam Basak, Yuyin Sun, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo
2025 J jnl
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References.
CoRR
Ming-Feng Li, Xin Yang, Fu-En Wang, Hritam Basak, Yuyin Sun, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo
2024 J jnl
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation.
CoRR
Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins
2024 J jnl
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation.
IEEE Robotics Autom. Lett.
Anthony Opipari, Aravindhan K. Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins
2024 J jnl
Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors.
CoRR
Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka, Ming-Feng Li, Xin Yang, Cheng-Hao Kuo, Arnie Sen, Min Sun, Zhaozheng Yin
2023 J jnl
SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments.
IEEE Robotics Autom. Lett.
Evin Pinar Örnek, Aravindhan K. Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
2022 J jnl
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments.
CoRR
Evin Pinar Örnek, Aravindhan K. Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
2019 J jnl
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.
CoRR
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
2018 J jnl
Deep neural networks for texture classification - A theoretical analysis.
Neural Networks
Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
2018 — conf
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.
ICDM Workshops
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
2017 J jnl
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.
Remote. Sens.
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
2017 J jnl
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets.
Neural Process. Lett.
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani
2016 J jnl
A Theoretical Analysis of Deep Neural Networks for Texture Classification.
CoRR
Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
2016 B conf
A theoretical analysis of Deep Neural Networks for texture classification.
IJCNN
Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka
2012 J jnl
Global stabilization of a chain of integrators with input saturation and disturbances: A new approach.
Autom.
Shreekant Gayaka, Lu Lu, Bin Yao
2011 C conf
Adaptive robust actuator fault-tolerant control in presence of input saturation.
ACC
Shreekant Gayaka, Bin Yao
2011 C conf
Global stabilization of a chain of integrators with input saturation and disturbances.
ACC
Shreekant Gayaka, Bin Yao