Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
Skip to main content
Artificial Intelligence Computing Leadership from NVIDIA
Login
Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
Search
Search
Enter the terms you wish to search for.
Publications
Our publications provide insight into some of our leading-edge research.
Filters
Search
Apply
Filters
Filters
Publication Year
2024
(1)
2022
(1)
2020
(1)
2018
(1)
Facet Publication Year
Research Areas
Applied Perception
(4)
Autonomous Vehicles
(4)
Computer Vision
(4)
Robotics
(3)
Events
CVPR
(1)
ICRA
(1)
IROS
(1)
4 results found
Applied Perception
Autonomous Vehicles
Computer Vision
Clear all
Applied Perception
Autonomous Vehicles
Computer Vision
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
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 Nister, Nikolai Smolyanskiy
ICRA
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
IROS
2018
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy, Alexey Kamenev,
Stan Birchfield
CVPR
