Nikhil Varma Keetha

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Sebastian SchererAssociate Research Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Krishna Murthy JatavallabhulaMITVerified email at mit.edu
Jay KarhadeCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Sourav GargAIML, University of Adelaide, AustraliaVerified email at adelaide.edu.au
Ganesh IyerApplied Scientist, AmazonVerified email at amazon.com
Soroush SaryazdiML Lead at MaticianVerified email at matician.com
Liam PaullAssociate Professor - University of MontrealVerified email at iro.umontreal.ca
Jay PatrikarCarnegie Mellon UniversityVerified email at cmu.edu
Chen WangAssistant Professor, University at BuffaloVerified email at buffalo.edu
Jonathon LuitenMeta Reality LabsVerified email at meta.com
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Gengshan YangMetaVerified email at meta.com
Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Avneesh MishraM.S. by Research, RRC, IIIT HyderabadVerified email at research.iiit.ac.in
Seungchan KimCarnegie Mellon UniversityVerified email at cs.cmu.edu
Yafei HuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Shibo ZhaoCarnegie Mellon University (superodometry.com)Verified email at andrew.cmu.edu
Yuheng QiuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Yaoyu HuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Parv KapoorCarnegie Mellon UniversityVerified email at cs.cmu.edu

Nikhil Varma Keetha

Graduate Student, Carnegie Mellon University

Verified email at andrew.cmu.edu - Homepage

Robotics Computer Vision Perception UAS Deep Learning


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Conceptfusion: Open-set multimodal 3d mapping KM Jatavallabhula, A Kuwajerwala, Q Gu, M Omama, T Chen, A Maalouf, ... arXiv preprint arXiv:2302.07241, 2023	134	2023
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM N Keetha, J Karhade, KM Jatavallabhula, G Yang, S Scherer, D Ramanan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	72	2024
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation N Varma Keetha, S Anosh Babu P, C Sekhara Rao Annavarapu arXiv e-prints, arXiv: 2003.09293, 2020	57*	2020
AnyLoc: Towards Universal Visual Place Recognition N Keetha, A Mishra, J Karhade, KM Jatavallabhula, S Scherer, M Krishna, ... IEEE Robotics and Automation Letters, 2023	52	2023
Toward general-purpose robots via foundation models: A survey and meta-analysis Y Hu, Q Xie, V Jain, J Francis, J Patrikar, N Keetha, S Kim, Y Xie, T Zhang, ... arXiv preprint arXiv:2312.08782, 2023	25	2023
A hierarchical dual model of environment-and place-specific utility for visual place recognition NV Keetha, M Milford, S Garg IEEE Robotics and Automation Letters 6 (4), 6969-6976, 2021	25	2021
Airobject: A temporally evolving graph embedding for object identification NV Keetha, C Wang, Y Qiu, K Xu, S Scherer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	6	2022
A Bi-FPN-based encoder–decoder model for lung nodule image segmentation CSR Annavarapu, SAB Parisapogu, NV Keetha, PK Donta, G Rajita Diagnostics 13 (8), 1406, 2023	5	2023
Foundloc: Vision-based onboard aerial localization in the wild Y He, I Cisneros, N Keetha, J Patrikar, Z Ye, I Higgins, Y Hu, P Kapoor, ... arXiv preprint arXiv:2310.16299, 2023	2	2023
Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data C Ho, J Zou, O Alama, SMJ Kumar, B Chiang, T Gupta, C Wang, N Keetha, ... arXiv preprint arXiv:2407.08726, 2024		2024
TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations J Patrikar, J Dantas, B Moon, M Hamidi, S Ghosh, N Keetha, I Higgins, ... arXiv preprint arXiv:2403.03372, 2024		2024

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