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)

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)

Displacement-Invariant Cost Computation for Efficient Stereo Matching. - Yiran Zhong; Charles T. Loop; Wonmin Byeon; Stan Birchfield; Yuchao Dai; Kaihao Zhang; Alexey Kamenev; Thomas M. Breuel; Hongdong Li; Jan Kautz (CoRR, 2020)

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)

Displacement-Invariant Cost Computation for Stereo Matching. - Yiran Zhong; Charles T. Loop; Wonmin Byeon; Stan Birchfield; Yuchao Dai; Kaihao Zhang; Alexey Kamenev; Thomas M. Breuel; Hongdong Li; Jan Kautz (Int. J. Comput. Vis., 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)

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations. - Rishikesh Ranade; Mohammad Amin Nabian; Kaustubh Tangsali; Alexey Kamenev; Oliver Hennigh; Ram Cherukuri; Sanjay Choudhry (CoRR, 2025)

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction. - Christopher B. Choy; Alexey Kamenev; Jean Kossaifi; Max Rietmann; Jan Kautz; Kamyar Azizzadenesheli (CoRR, 2025)

A Benchmarking Framework for AI models in Automotive Aerodynamics. - Kaustubh Tangsali; Rishikesh Ranade; Mohammad Amin Nabian; Alexey Kamenev; Peter Sharpe; Neil Ashton; Ram Cherukuri; Sanjay Choudhry (CoRR, 2025)