Nikolai Smolyanskiy

14 papers A* 2A 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models. CoRR Alexander Popov, Alperen Degirmenci, David Wehr, Shashank Hegde, Ryan Oldja, Alexey Kamenev, Bertrand Douillard, David Nistér, Urs Muller, Ruchi Bhargava, Stan Birchfield, Nikolai Smolyanskiy
2022	J	`jnl`	NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving. CoRR Alexander Popov, Patrik Gebhardt, Ke Chen, Ryan Oldja, Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy
2022	A*	`conf`	PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. ICRA Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
2021	A*	`conf`	Deep Two-View Structure-From-Motion Revisited. CVPR Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li
2021	J	`jnl`	Deep Two-View Structure-from-Motion Revisited. CoRR Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li
2021	J	`jnl`	PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. CoRR Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
2020	A	`conf`	MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views. IROS Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl
2020	J	`jnl`	MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views. CoRR Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl
2018	—	`conf`	On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach. CVPR Workshops Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield
2018	J	`jnl`	On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach. CoRR Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield
2017	J	`jnl`	Stereoscopic First Person View System for Drone Navigation. Frontiers Robotics AI Nikolai Smolyanskiy, Mar González-Franco
2017	J	`jnl`	Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness. CoRR Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield
2017	A	`conf`	Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness. IROS Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield
2014	J	`jnl`	Real-time 3D face tracking based on active appearance model constrained by depth data. Image Vis. Comput. Nikolai Smolyanskiy, Christian Huitema, Lin Liang, Sean Eron Anderson