| Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness N Smolyanskiy, A Kamenev, J Smith, S Birchfield 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 308 | 2017 |
| Self-describing authorization policy for accessing cloud-based resources DR Reed, ES Fleischman, A Gbadegesin, D Shukla, N Smolyanskiy, ... US Patent 8,196,175, 2008 | 202 | 2008 |
| On the importance of stereo for accurate depth estimation: An efficient semi-supervised deep neural network approach N Smolyanskiy, A Kamenev, S Birchfield Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 145 | 2018 |
| Device authentication within deployable computing environment A Gbadegesin, DK Shukla, TA Galvin, DR Reed, N Smolyanskiy, ... US Patent 8,412,930, 2008 | 113 | 2008 |
| Real-time 3D face tracking based on active appearance model constrained by depth data N Smolyanskiy, C Huitema, L Liang, SE Anderson Image and Vision Computing 32 (11), 860-869, 2014 | 82 | 2014 |
| Stereo depth estimation using deep neural networks N Smolyanskiy, A Kamenev, S Birchfield US Patent App. 16/356,439, 2019 | 78 | 2019 |
| Stereoscopic first person view system for drone navigation N Smolyanskiy, M Gonzalez-Franco Frontiers in Robotics and AI 4, 11, 2017 | 72 | 2017 |
| Social distance based search result order adjustment DR Quick, MM Battisha, AE Mallet, DA Nichols, MP Mroch, N Smolyanskiy, ... US Patent 9,104,737, 2009 | 54 | 2009 |
| Deep Two-View Structure-from-Motion Revisited J Wang, Y Zhong, Y Dai, S Birchfield, K Zhang, N Smolyanskiy, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 52 | 2021 |
| Performing autonomous path navigation using deep neural networks N Smolyanskiy, A Kamenev, JD Smith, ST Birchfield US Patent App. 15/939,116, 2017 | 49 | 2017 |
| Behavior planning for autonomous vehicles D Nister, Y Wang, J Ng, R Aviv, S Lee, JJ Bialkowski, HL Lee, H Lanker, ... US Patent 11,981,349, 2024 | 48 | 2024 |
| PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation A Kamenev, L Wang, OB Bohan, I Kulkarni, B Kartal, A Molchanov, ... 2022 International Conference on Robotics and Automation (ICRA), 8936-8942, 2022 | 46 | 2022 |
| Concurrent talking in immersive virtual reality: on the dominance of visual speech cues M Gonzalez-Franco, A Maselli, D Florencio, N Smolyanskiy, Z Zhang Scientific Reports 7 (1), 3817, 2017 | 41 | 2017 |
| Multi-view deep neural network for LiDAR perception N Smolyanskiy, R Oldja, K Chen, A Popov, J Pehserl, I Eden, T Wekel, ... US Patent 11,532,168, 2022 | 40 | 2022 |
| MVLidarNet: Real-time Multi-class Scene Understanding for Autonomous Driving Using Multiple Views K Chen, R Oldja, N Smolyanskiy, S Birchfield, A Popov, D Wehr, I Eden, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 33 | 2020 |
| Deep neural network for segmentation of road scenes and animate object instances for autonomous driving applications K Chen, N Smolyanskiy, A Kamenev, R Oldja, T Wekel, D Nister, ... US Patent 12,051,206, 2024 | 29 | 2024 |
| NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving A Popov, P Gebhardt, K Chen, R Oldja, H Lee, S Murray, R Bhargava, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 6958-6964, 2023 | 21 | 2023 |
| Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications A Popov, N Smolyanskiy, R Oldja, S Murray, T Wekel, D Nister, J Pehserl, ... US Patent 11,885,907, 2024 | 20 | 2024 |
| Vehicle Trajectory Determination To Stabilize Vehicle-Captured Video N Smolyanskiy, Z Zhang, VR Dendi US Patent US10271021B2, 2016 | 18* | 2016 |
| Future trajectory predictions in multi-actor environments for autonomous machine A Kamenev, N Smolyanskiy, I Kulkarni, OB Bohan, F Yang, A Degirmenci, ... US Patent 12,001,958, 2024 | 16 | 2024 |
Stan BirchfieldNVIDIAVerified email at clemson.edu
