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Artificial Intelligence Computing Leadership from NVIDIA
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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
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Publications
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(18)
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(46)
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(52)
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(31)
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(48)
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(37)
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(43)
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(19)
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(6)
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(7)
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(2)
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(3)
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Computer Vision
(43)
Artificial Intelligence and Machine Learning
(27)
Robotics
(11)
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(3)
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(3)
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(2)
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(2)
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(1)
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43 results found
Computer Vision
Clear all
2018
Computer Vision
2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang,
Jan Kautz
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay
, Thang To,
Stan Birchfield
Making Convolutional Networks Recurrent for Visual Sequence Learning
Xiaodong Yang
,
Pavlo Molchanov
,
Jan Kautz
Deep Semantic Face Deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu,
Jan Kautz
, Ming-Hsuan Yang
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan,
Dieter Fox
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jonathan Tremblay
, Thang To, Artem Molchanov,
Stephen Tyree
,
Jan Kautz
,
Stan Birchfield
ICRA
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Yuval Atzmon
,
Gal Chechik
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Huaijin Chen,
Jinwei Gu
,
Orazio Gallo
,
Ming-Yu Liu
, Ashok Veeraraghavan,
Jan Kautz
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon,
Stan Birchfield
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Sam Leroux,
Pavlo Molchanov
, Pieter Simoens, Bart Dhoedt,
Thomas Breuel
,
Jan Kautz
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy, Alexey Kamenev,
Stan Birchfield
CVPR
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