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Publications
Our publications provide insight into some of our leading-edge research.
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11 results found
Computer Vision
Robotics
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2018
Computer Vision
Robotics
2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay
, Thang To, Bala Sundaralingam, Yu Xiang,
Dieter Fox
,
Stan Birchfield
CORL
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg,
Jan Kautz
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
Yang Zou,
Zhiding Yu
, B. V. K. Vijaya Kumar, Jinsong Wang
Simultaneous Edge Alignment and Learning
Zhiding Yu
, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar,
Jan Kautz
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
Ben Eckart, Kihwan Kim,
Jan Kautz
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
Ben Eckart, Kihwan Kim,
Jan Kautz
Geometry-Aware Learning of Maps for Camera Localization
Samarth Brahmbhatt,
Jinwei Gu
, Kihwan Kim, James Hays,
Jan Kautz
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay
, Thang To,
Stan Birchfield
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
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy, Alexey Kamenev,
Stan Birchfield
CVPR