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Nikolai Smolyanskiy
Nikolai Smolyanskiy
Verified email at nvidia.com
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Cited by
Year
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
2572017
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
1952008
Device authentication within deployable computing environment
A Gbadegesin, DK Shukla, TA Galvin, DR Reed, N Smolyanskiy, ...
US Patent 8,412,930, 2008
1102008
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
1092018
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
782014
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
522009
Stereoscopic first person view system for drone navigation
N Smolyanskiy, M Gonzalez-Franco
Frontiers in Robotics and AI 4, 11, 2017
462017
Stereo depth estimation using deep neural networks
N Smolyanskiy, A Kamenev, S Birchfield
US Patent App. 16/356,439, 2019
292019
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
292017
Performing autonomous path navigation using deep neural networks
N Smolyanskiy, A Kamenev, JD Smith, ST Birchfield
US Patent App. 15/939,116, 2017
282017
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
182021
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
182020
Computing 3D shape parameters for face animation
N Smolyanskiy, CF Huitema, C Zhang, L Liang, SE Anderson, Z Zhang
US Patent 9,123,144, 2011
14*2011
Multi-view deep neural network for lidar perception
N Smolyanskiy, R Oldja, K Chen, A Popov, J Pehserl, I Eden, T Wekel, ...
US Patent App. 16/915,346, 2021
102021
Immersive Interactive Telepresence
N Smolyanskiy, Z Zhang, VR Dendi, M Hall
US Patent App. 15/056,983, 2016
102016
Vehicle Trajectory Determination To Stabilize Vehicle-Captured Video
N Smolyanskiy, Z Zhang, VR Dendi
US Patent US10271021B2, 2016
10*2016
Interleaving search results
N Smolyanskiy
US Patent 7,873,633, 2007
102007
Behavior planning for autonomous vehicles
D Nister, Y Wang, J Ng, R Aviv, S Lee, JJ Bialkowski, HL Lee, H Lanker, ...
US Patent App. 17/178,464, 2021
82021
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 App. 16/938,706, 2021
82021
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
72022
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