| Saliency prediction for a mobile user interface P Gupta, S Pal, S Gupta, R Sinha, A Jayagopal US Patent 10,664,999, 2020 | 31 | 2020 |
| Improving gnss positioning using neural-network-based corrections AV Kanhere, S Gupta, A Shetty, G Gao NAVIGATION: Journal of the Institute of Navigation 69 (4), 2022 | 27 | 2022 |
| Particle RAIM for integrity monitoring S Gupta, GX Gao Proceedings of the 32nd International Technical Meeting of the Satellite …, 2019 | 17 | 2019 |
| Saliency prediction for mobile user interfaces P Gupta, S Gupta, A Jayagopal, S Pal, R Sinha 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1529-1538, 2018 | 16 | 2018 |
| A particle‐filtering framework for integrity risk of GNSS‐camera sensor fusion A Mohanty, S Gupta, GX Gao Navigation 68 (4), 709-726, 2021 | 10 | 2021 |
| Data‐driven protection levels for camera and 3D map‐based safe urban localization S Gupta, G Gao Navigation 68 (3), 643-660, 2021 | 5 | 2021 |
| Neural city maps for GNSS nlos prediction D Neamati, S Gupta, M Partha, G Gao Proceedings of the 36th International Technical Meeting of the Satellite …, 2023 | 3 | 2023 |
| Getting the best of particle and Kalman filters: GNSS sensor fusion using rao-blackwellized particle filter S Gupta, A Mohanty, G Gao Proceedings of the 35th International Technical Meeting of the Satellite …, 2022 | 3 | 2022 |
| Designing deep neural networks for sequential gnss positioning S Gupta, AV Kanhere, A Shetty, G Gao Proceedings of the 35th International Technical Meeting of the Satellite …, 2022 | 3 | 2022 |
| Neural city maps: A case for 3d urban environment representations based on radiance fields M Partha, S Gupta, G Gao Proceedings of the 36th International Technical Meeting of the Satellite …, 2023 | 2 | 2023 |
| Dynamically routed patch discriminator S Gupta, N Jaipuria, P Narayanan US Patent App. 16/800,950, 2021 | 2 | 2021 |
| Training deep neural networks with synthetic images N Jaipuria, R Bhasin, S Gupta, G Sholingar US Patent 11,100,372, 2021 | 2 | 2021 |
| Autonomous Vehicle Risk Assessment RJ Moss, S Gupta, RD ASL, KL ASL, MJ Kochenderfer, GX Gao, MP ASL, ... en. In, 39, 2021 | 2 | 2021 |
| On the role of receptive field in unsupervised sim-to-real image translation N Jaipuria, S Gupta, P Narayanan, VN Murali arXiv preprint arXiv:2001.09257, 2020 | 2 | 2020 |
| Neural Radiance Maps for Extraterrestrial Navigation and Path Planning A Dai, S Gupta, G Gao Proceedings of the 36th International Technical Meeting of the Satellite …, 2023 | 1 | 2023 |
| A deep reinforcement learning approach to rare event estimation A Corso, KY Kim, S Gupta, G Gao, MJ Kochenderfer arXiv preprint arXiv:2211.12470, 2022 | 1 | 2022 |
| Reliable urban vehicle localization under faulty satellite navigation signals S Gupta, GX Gao EURASIP Journal on Advances in Signal Processing 2024 (1), 1-35, 2024 | | 2024 |
| BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware N Meisburger, V Lakshman, B Geordie, J Engels, DT Ramos, P Pranav, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Urban localization using robust filtering at multiple linearization points S Gupta, A Mohanty, G Gao EURASIP Journal on Advances in Signal Processing 2023 (1), 100, 2023 | | 2023 |
| From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware A Shrivastava, V Lakshman, T Medini, N Meisburger, J Engels, ... Proceedings of the 17th ACM Conference on Recommender Systems, 1071-1074, 2023 | | 2023 |
Grace X. GaoProfessor of Stanford UniversityVerified email at stanford.edu
