Jay Karhade

According to our database, Jay Karhade authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

AnyLoc: Towards Universal Visual Place Recognition.

Nikhil Varma Keetha, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian A. Scherer, K. Madhava Krishna, Sourav Garg

IEEE Robotics Autom. Lett., February, 2024

SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments.

Shibo Zhao, Yuanjun Gao, Tianhao Wu, Damanpreet Singh, Rushan Jiang, Haoxiang Sun, Mansi Sarawata, Yuheng Qiu, Warren Whittaker, Ian Higgins, Yi Du, Shaoshu Su, Can Xu, John Keller, Jay Karhade, Lucas Nogueira, Sourojit Saha, Ji Zhang, Wenshan Wang, Chen Wang, Sebastian A. Scherer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM.

Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, Jonathon Luiten

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering.

Jay Karhade, Haiyue Zhu, Ka-Shing Chung, Rajesh Kumar Tripathy, Wei Lin, Marcelo H. Ang

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM.

Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten

CoRR, 2023

SubT-MRS: A Subterranean, Multi-Robot, Multi-Spectral and Multi-Degraded Dataset for Robust SLAM.

Shibo Zhao, Damanpreet Singh, Haoxiang Sun, Rushan Jiang, Yuanjun Gao, Tianhao Wu, Jay Karhade, Chuck Whittaker, Ian Higgins, Jiahe Xu, Yuheng Qiu, Sourojit Saha, Chen Wang, Wenshan Wang, Sebastian A. Scherer

CoRR, 2023

2022

Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals.

Jay Karhade, Shaswati Dash, Samit Kumar Ghosh, Dinesh Kumar Dash, Rajesh Kumar Tripathy

IEEE Trans. Instrum. Meas., 2022

Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering.

Jay Karhade, Haiyue Zhu, Ka-Shing Chung, Rajesh Tripathy, Wei Lin, Marcelo H. Ang Jr.

CoRR, 2022

2021

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals.

Tejas Radhakrishnan, Jay Karhade, Samit Kumar Ghosh, Priya Ranjan Muduli, R. K. Tripathy, U. Rajendra Acharya

Comput. Biol. Medicine, 2021

2020

On-board Electrical, Electronics and Pose Estimation System for Hyperloop Pod Design.

Nihal Singh, Jay Karhade, Ishika Bhattacharya, Prathamesh Saraf, Plava Kattamuri, Alivelu Manga Parimi

CoRR, 2020