Nikolai Smolyanskiy

According to our database, Nikolai Smolyanskiy authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models.

Alexander Popov, Alperen Degirmenci, David Wehr, Shashank Hegde, Ryan Oldja, Alexey Kamenev, Bertrand Douillard, David Nistér, Urs Muller, Ruchi Bhargava, Stan Birchfield, Nikolai Smolyanskiy

CoRR, 2024

2022

NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving.

Alexander Popov, Patrik Gebhardt, Ke Chen, Ryan Oldja, Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy

CoRR, 2022

PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation.

Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Deep Two-View Structure-From-Motion Revisited.

Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views.

Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach.

Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Stereoscopic First Person View System for Drone Navigation.

Nikolai Smolyanskiy, Mar González-Franco

Frontiers Robotics AI, 2017

Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness.

Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2014

Real-time 3D face tracking based on active appearance model constrained by depth data.

Nikolai Smolyanskiy, Christian Huitema, Lin Liang, Sean Eron Anderson

Image Vis. Comput., 2014