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)

Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness. - Nikolai Smolyanskiy; Alexey Kamenev; Jeffrey Smith 002; Stan Birchfield (IROS, 2017)

Stereoscopic First Person View System for Drone Navigation. - Nikolai Smolyanskiy; Mar González-Franco (Frontiers Robotics AI, 2017)

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach. - Nikolai Smolyanskiy; Alexey Kamenev; Stan Birchfield (CVPR Workshops, 2018)

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 (IROS, 2020)

Deep Two-View Structure-From-Motion Revisited. - Jianyuan Wang; Yiran Zhong; Yuchao Dai; Stan Birchfield; Kaihao Zhang; Nikolai Smolyanskiy; Hongdong Li (CVPR, 2021)

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 (ICRA, 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)

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)