Tanner Schmidt
Tanner Schmidt
Facebook Reality Labs
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Cited by
Cited by
Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Y Xiang, T Schmidt, V Narayanan, D Fox
arXiv preprint arXiv:1711.00199, 2017
Self-supervised visual descriptor learning for dense correspondence
T Schmidt, R Newcombe, D Fox
IEEE Robotics and Automation Letters 2 (2), 420-427, 2016
Deep local shapes: Learning local sdf priors for detailed 3d reconstruction
R Chabra, JE Lenssen, E Ilg, T Schmidt, J Straub, S Lovegrove, ...
European Conference on Computer Vision, 608-625, 2020
DART: Dense Articulated Real-Time Tracking.
T Schmidt, RA Newcombe, D Fox
Robotics: Science and Systems 2 (1), 1-9, 2014
Depth-based tracking with physical constraints for robot manipulation
T Schmidt, K Hertkorn, R Newcombe, Z Marton, M Suppa, D Fox
2015 IEEE International Conference on Robotics and Automation (ICRA), 119-126, 2015
DART: dense articulated real-time tracking with consumer depth cameras
T Schmidt, R Newcombe, D Fox
Autonomous Robots 39 (3), 239-258, 2015
Frodo: From detections to 3d objects
M Runz, K Li, M Tang, L Ma, C Kong, T Schmidt, I Reid, L Agapito, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Neural 3d video synthesis
T Li, M Slavcheva, M Zollhoefer, S Green, C Lassner, C Kim, T Schmidt, ...
arXiv preprint arXiv:2103.02597, 2021
Star: Self-supervised tracking and reconstruction of rigid objects in motion with neural rendering
W Yuan, Z Lv, T Schmidt, S Lovegrove
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Dynamic high resolution deformable articulated tracking
A Walsman, W Wan, T Schmidt, D Fox
2017 International Conference on 3D Vision (3DV), 38-47, 2017
Frodo: From detections to 3d objects
M Rünz, K Li, M Tang, L Ma, C Kong, T Schmidt, I Reid, L Agapito, ...
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020
Algorithm-aware neural network based image compression for high-speed imaging
R Pinkham, T Schmidt, A Berkovich
2020 IEEE International Conference on Artificial Intelligence and Virtual …, 2020
Self-directed lifelong learning for robot vision
T Schmidt, D Fox
Robotics Research, 109-114, 2020
Identity-Disentangled Neural Deformation Model for Dynamic Meshes
B Xu, L Ma, Y Ye, T Schmidt, CD Twigg, S Lovegrove
arXiv preprint arXiv:2109.15299, 2021
ERF: Explicit Radiance Field Reconstruction From Scratch
S Aroudj, S Lovegrove, E Ilg, T Schmidt, M Goesele, R Newcombe
arXiv preprint arXiv:2203.00051, 2022
Dynamically programmable image sensor
AS Berkovich, R Pinkham, T Schmidt
US Patent App. 16/983,863, 2021
Model-Based Self-Supervision for Fine-Grained Image Understanding
T Schmidt
Four Dimensional Mapping with RGB-D Sensors and Mobile Robots
T Schmidt
Feature Query Networks: Neural Surface Description for Camera Pose Refinement
H Germain, D DeTone, G Pascoe, T Schmidt, D Novotny, R Newcombe, ...
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