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Research Labs
All Research Labs
Spatial Intelligence
Applied Research
Autonomous Systems and Physical AI
NVIDIA Cosmos Lab
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
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2026
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Applied Perception
(6)
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(6)
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(6)
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(3)
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(2)
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(2)
Artificial Intelligence and Machine Learning
(1)
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6 results found
Applied Perception
Robotics
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Applied Perception
Robotics
2026
FOVI-Dex: Foveation enables efficient perceptive learning of dexterous manipulation in simulation
Nicholas Blauch, Nicolas Moënne-Loccoz, Jayjun Lee, Patrick Yin, Mohak Bhardwaj, Muhammad Asif Rana, Jessica Yin, Sam Mady, Karl Van Wyk, Nathan D. Ratliff,
Jae-Hyun Jung
,
Ruth Rosenholtz
, Ankur Handa, Gavriel State
CORL
2024
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Bowen Wen
,
Wei Yang
,
Jan Kautz
,
Stan Birchfield
CVPR
2023
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Bowen Wen
,
Jonathan Tremblay
,
Valts Blukis
,
Stephen Tyree
, Thomas Müller, Alex Evans, Dieter Fox,
Jan Kautz
,
Stan Birchfield
CVPR
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
