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Journal Articles
- 2022
[j1]Yiran Zhong
, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Stereo Matching. Int. J. Comput. Vis. 130(5): 1196-1209 (2022)
Conference and Workshop Papers
- 2022
- [c3]Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy:
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. ICRA 2022: 8936-8942 - 2018
- [c2]Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield:
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach. CVPR Workshops 2018: 1007-1015 - 2017
- [c1]Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield:
Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness. IROS 2017: 4241-4247
Informal and Other Publications
- 2024
- [i5]Alexander Popov, Alperen Degirmenci, David Wehr, Shashank Hegde, Ryan Oldja, Alexey Kamenev, Bertrand Douillard, David Nistér, Urs Muller, Ruchi Bhargava, Stan Birchfield, Nikolai Smolyanskiy:
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models. CoRR abs/2409.16663 (2024) - 2021
- [i4]Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy:
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. CoRR abs/2109.11094 (2021) - 2020
- [i3]Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Efficient Stereo Matching. CoRR abs/2012.00899 (2020) - 2018
- [i2]Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield:
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach. CoRR abs/1803.09719 (2018) - 2017
- [i1]Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield:
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness. CoRR abs/1705.02550 (2017)
Coauthor Index
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