| Computational imaging with multi-camera time-of-flight systems S Shrestha, F Heide, W Heidrich, G Wetzstein ACM Transactions on Graphics (ToG) 35 (4), 1-11, 2016 | 77 | 2016 |
| Systems and methods for machine learning-based site-specific threat modeling and threat detection S Shrestha, V Khanna US Patent 11,195,067, 2021 | 66 | 2021 |
| Systems and methods for intelligent and interpretive analysis of video image data using machine learning S Shrestha, V Khanna US Patent 10,546,197, 2020 | 55 | 2020 |
| Systems and methods for intelligent and interpretive analysis of sensor data and generating spatial intelligence using machine learning S Shrestha, V Khanna US Patent 10,628,706, 2020 | 21 | 2020 |
| Near-eye display gaze tracking via convolutional neural networks R Konrad, S Shrestha, P Varma Standford Univ., Standford, CA, USA, Tech. Rep, 2016 | 9 | 2016 |
| Design of an implantable artificial dural window for chronic two-photon optical imaging in non-human primates E Trautmann, DJ O'Shea, S Shrestha, S Lin, S Ryu, K Shenoy 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 8 | 2015 |
| Systems and methods for machine learning enhanced intelligent building access endpoint security monitoring and management S Shrestha, V Khanna, JD Connor US Patent App. 16/696,682, 2020 | 1 | 2020 |
| SYSTEMS AND METHODS FOR MACHINE LEARNING-BASED SITE-SPECIFIC THREAT MODELING AND THREAT DETECTION S Shrestha, V Khanna US Patent App. 17/515,115, 2022 | | 2022 |
| Systems and methods for intelligent and interpretive analysis of sensor data and generating spatial intelligence using machine learning S Shrestha, V Khanna US Patent 11,113,565, 2021 | | 2021 |
| Controlled gyroscopic torque for an electronic device JA Stryker, S Shrestha, TP Rivellini US Patent 10,310,602, 2019 | | 2019 |
| 1Stanford University 2University of British Columbia 3KAUST S Shrestha, F Heide, W Heidrich, G Wetzstein | | |
| Learning Deep Representations for Human Activity in Video S Shrestha | | |
| Machine Learning for Human Activity Recognition from Video S Shrestha | | |
Gordon WetzsteinStanford University在 stanford.edu 的电子邮件经过验证
