| 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 | 315 | 2017 |
| 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 | 150 | 2018 |
| Stereo depth estimation using deep neural networks N Smolyanskiy, A Kamenev, S Birchfield US Patent 11,080,590, 2021 | 83 | 2021 |
| 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 | 53 | 2022 |
| 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 | 52 | 2024 |
| Performing autonomous path navigation using deep neural networks N Smolyanskiy, A Kamenev, JD Smith, ST Birchfield US Patent 10,705,525, 2020 | 46 | 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 | 32 | 2024 |
| 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 | 18 | 2024 |
| Model-based reinforcement learning for behavior prediction N Smolyanskiy, A Kamenev, W Lirui, D Nister, OB Bohan, I Kulkarni, ... US Patent App. 17/453,055, 2022 | 8 | 2022 |
| Displacement-invariant cost computation for stereo matching Y Zhong, C Loop, W Byeon, S Birchfield, Y Dai, K Zhang, A Kamenev, ... International Journal of Computer Vision 130 (5), 1196-1209, 2022 | 7 | 2022 |
| Stereo depth estimation using deep neural networks N Smolyanskiy, A Kamenev, S Birchfield US Patent 11,604,967, 2023 | 6 | 2023 |
| Adaptive featurization as a service M Bilenko, A Kamenev, V Narayanan, P Taraba US Patent App. 14/576,253, 2016 | 6 | 2016 |
| Displacement-invariant cost computation for efficient stereo matching Y Zhong, C Loop, W Byeon, S Birchfield, Y Dai, K Zhang, A Kamenev, ... arXiv preprint arXiv:2012.00899, 2020 | 3 | 2020 |
| Performing autonomous path navigation using deep neural networks N Smolyanskiy, A Kamenev, JD Smith, ST Birchfield US Patent 11,281,221, 2022 | 2 | 2022 |
| Linking diagnostic visualizations to application code J Rapp, D Griffing, A Dadiomov, M Jacobs, B Nesson, DA Campbell, ... US Patent 9,146,836, 2015 | 2 | 2015 |
| Mitigating covariate shift in imitation learning for autonomous vehicles using latent space generative world models A Popov, A Degirmenci, D Wehr, S Hegde, R Oldja, A Kamenev, ... arXiv preprint arXiv:2409.16663, 2024 | 1 | 2024 |
| Performing autonomous path navigation using deep neural networks N Smolyanskiy, A Kamenev, JD Smith, ST Birchfield US Patent App. 17/692,730, 2022 | 1 | 2022 |
| Adaptive featurization as a service M Bilenko, A Kamenev, V Narayanan, P Taraba | 1 | 2016 |
| Behavior planning for autonomous vehicles D Nister, Y Wang, J Ng, R Aviv, S Lee, JJ Bialkowski, HL Lee, H Lanker, ... US Patent App. 18/620,096, 2024 | | 2024 |
| Stereo depth estimation using deep neural networks N Smolyanskiy, A Kamenev, S Birchfield US Patent 12,039,436, 2024 | | 2024 |
