U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation. - Nikhil Varma Keetha; Samson Anosh Babu Parisapogu; Chandra Sekhara Rao Annavarapu (CoRR, 2020)

A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition. - Nikhil Varma Keetha; Michael Milford; Sourav Garg (IEEE Robotics Autom. Lett., 2021)

AirObject: A Temporally Evolving Graph Embedding for Object Identification. - Nikhil Varma Keetha; Chen Wang 033; Yuheng Qiu; Kuan Xu; Sebastian A. Scherer (CVPR, 2022)

ConceptFusion: Open-set multimodal 3D mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Ganesh Iyer; Soroush Saryazdi; Tao Chen 046; Alaa Maalouf; Shuang Li 013; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; et al. (Robotics: Science and Systems, 2023)

ConceptFusion: Open-set Multimodal 3D Mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Tao Chen 046; Shuang Li 013; Ganesh Iyer; Soroush Saryazdi; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; Celso Miguel de Melo; et al. (CoRR, 2023)

FoundLoc: Vision-based Onboard Aerial Localization in the Wild. - Yao He; Ivan Cisneros; Nikhil Varma Keetha; Jay Patrikar; Zelin Ye; Ian Higgins; Yaoyu Hu; Parv Kapoor; Sebastian A. Scherer (CoRR, 2023)

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. - Yafei Hu; Quanting Xie; Vidhi Jain; Jonathan Francis; Jay Patrikar; Nikhil Varma Keetha; Seungchan Kim; Yaqi Xie 001; Tianyi Zhang 014; Shibo Zhao; Yu Quan Chong; Chen Wang 033; et al. (CoRR, 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 (CVPR, 2024)

Targeted Image Transformation for Improving Robustness in Long Range Aircraft Detection. - Rebecca Martin; Clement Fung; Nikhil Varma Keetha; Lujo Bauer; Sebastian A. Scherer (IROS, 2024)

Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets. - Cherie Ho; Jiaye Zou; Omar Alama; Sai Mitheran Jagadesh Kumar; Cheng-Yu Chiang; Taneesh Gupta; Chen Wang 033; Nikhil Varma Keetha; Katia P. Sycara; Sebastian A. Scherer (NeurIPS, 2024)

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations. - Jay Patrikar; Joao P. A. Dantas; Brady G. Moon; Milad Moghassem Hamidi; Sourish Ghosh; Nikhil Varma Keetha; Ian Higgins; Atharva Chandak; Takashi Yoneyama; Sebastian A. Scherer (CoRR, 2024)

Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data. - Cherie Ho; Jiaye Zou; Omar Alama; Sai Mitheran Jagadesh Kumar; Benjamin Chiang; Taneesh Gupta; Chen Wang 033; Nikhil Varma Keetha; Katia P. Sycara; Sebastian A. Scherer (CoRR, 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., 2024)

FlowR: Flowing from Sparse to Dense 3D Reconstructions. - Tobias Fischer 004; Samuel Rota Bulò; Yung-Hsu Yang; Nikhil Varma Keetha; Lorenzo Porzi; Norman Müller; Katja Schwarz; Jonathon Luiten; Marc Pollefeys; Peter Kontschieder (CoRR, 2025)

RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration. - Omar Alama; Avigyan Bhattacharya; Haoyang He; Seungchan Kim; Yuheng Qiu; Wenshan Wang; Cherie Ho; Nikhil Varma Keetha; Sebastian A. Scherer (CoRR, 2025)

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid. - Parv Kapoor; Ian Higgins; Nikhil Varma Keetha; Jay Patrikar; Brady G. Moon; Zelin Ye; Yao He; Ivan Cisneros; Yaoyu Hu; Changliu Liu; Eunsuk Kang; Sebastian A. Scherer (CoRR, 2025)

UFM: A Simple Path towards Unified Dense Correspondence with Flow. - 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 (CoRR, 2025)