Jay Karhade

16 papers A* 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
AnyThermal: Towards Learning Universal Representations for Thermal Perception.
CoRR
Parv Maheshwari, Jay Karhade, Yogesh Chawla, Isaiah Adu, Florian Heisen, Andrew Porco, Andrew Jong, Yifei Liu, Santosh Pitla, Sebastian A. Scherer, Wenshan Wang
2025 J jnl
Any4D: Unified Feed-Forward Metric 4D Reconstruction.
CoRR
Jay Karhade, Nikhil Varma Keetha, Yuchen Zhang, Tanisha Gupta, Akash Sharma, Sebastian A. Scherer, Deva Ramanan
2025 J jnl
Towards Foundational Models for Single-Chip Radar.
CoRR
Tianshu Huang, Akarsh Prabhakara, Chuhan Chen, Jay Karhade, Deva Ramanan, Matthew O'Toole, Anthony Rowe
2025 J jnl
Towards Understanding Camera Motions in Any Video.
CoRR
Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra, Tiffany Ling, Yuhan Huang, Sifan Liu, Mingyu Chen, Rushikesh Zawar, Xue Bai, Yilun Du, Chuang Gan, Deva Ramanan
2025 J jnl
UFM: A Simple Path towards Unified Dense Correspondence with Flow.
CoRR
Yuchen Zhang, Nikhil Varma Keetha, Chenwei Lyu, Bhuvan Jhamb, Yutian Chen, Yuheng Qiu, Jay Karhade, Shreyas Jha, Yaoyu Hu, Deva Ramanan, Sebastian A. Scherer, Wenshan Wang
2024 J jnl
AnyLoc: Towards Universal Visual Place Recognition.
IEEE Robotics Autom. Lett.
Nikhil Varma Keetha, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian A. Scherer, Madhava Krishna, Sourav Garg
2024 — conf
Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering.
AIM
Jay Karhade, Haiyue Zhu, Ka-Shing Chung, Rajesh Kumar Tripathy, Wei Lin, Marcelo H. Ang
2024 A* conf
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM.
CVPR
Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten
2024 A* conf
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments.
CVPR
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
2023 J jnl
AnyLoc: Towards Universal Visual Place Recognition.
CoRR
Nikhil Varma Keetha, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian A. Scherer, K. Madhava Krishna, Sourav Garg
2023 J jnl
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM.
CoRR
Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten
2023 J jnl
SubT-MRS: A Subterranean, Multi-Robot, Multi-Spectral and Multi-Degraded Dataset for Robust SLAM.
CoRR
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
2022 J jnl
Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering.
CoRR
Jay Karhade, Haiyue Zhu, Ka-Shing Chung, Rajesh K. Tripathy, Wei Lin, Marcelo H. Ang Jr.
2022 J jnl
Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals.
IEEE Trans. Instrum. Meas.
Jay Karhade, Shaswati Dash, Samit Kumar Ghosh, Dinesh Kumar Dash, Rajesh Kumar Tripathy
2021 J jnl
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals.
Comput. Biol. Medicine
Tejas Radhakrishnan, Jay Karhade, Samit Kumar Ghosh, Priya Ranjan Muduli, R. K. Tripathy, U. Rajendra Acharya
2020 J jnl
On-board Electrical, Electronics and Pose Estimation System for Hyperloop Pod Design.
CoRR
Nihal Singh, Jay Karhade, Ishika Bhattacharya, Prathamesh Saraf, Plava Kattamuri, Alivelu Manga Parimi