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Tanner Schmidt
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2020 – today
- 2022
- [c11]Hugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotný, Richard A. Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas:
Feature Query Networks: Neural Surface Description for Camera Pose Refinement. CVPR Workshops 2022: 5067-5077 - [c10]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, Zhaoyang Lv:
Neural 3D Video Synthesis from Multi-view Video. CVPR 2022: 5511-5521 - [i8]Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard A. Newcombe:
ERF: Explicit Radiance Field Reconstruction From Scratch. CoRR abs/2203.00051 (2022) - 2021
- [c9]Wentao Yuan
, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove:
STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering. CVPR 2021: 13144-13152 - [i7]Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove:
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering. CoRR abs/2101.01602 (2021) - [i6]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv:
Neural 3D Video Synthesis. CoRR abs/2103.02597 (2021) - [i5]Binbin Xu, Lingni Ma, Yuting Ye, Tanner Schmidt, Christopher D. Twigg, Steven Lovegrove:
Identity-Disentangled Neural Deformation Model for Dynamic Meshes. CoRR abs/2109.15299 (2021) - 2020
- [c8]Reid Pinkham, Tanner Schmidt, Andrew Berkovich:
Algorithm-Aware Neural Network Based Image Compression for High-Speed Imaging. AIVR 2020: 196-199 - [c7]Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid
, Lourdes Agapito
, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. CVPR 2020: 14708-14717 - [c6]Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. ECCV (29) 2020: 608-625 - [i4]Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. CoRR abs/2003.10983 (2020) - [i3]Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. CoRR abs/2005.05125 (2020)
2010 – 2019
- 2019
- [b1]Tanner Schmidt:
Model-Based Self-Supervision for Fine-Grained Image Understanding. University of Washington, USA, 2019 - 2018
- [c5]Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox:
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. Robotics: Science and Systems 2018 - 2017
- [j2]Tanner Schmidt
, Richard A. Newcombe, Dieter Fox:
Self-Supervised Visual Descriptor Learning for Dense Correspondence. IEEE Robotics Autom. Lett. 2(2): 420-427 (2017) - [c4]Aaron Walsman, Weilin Wan, Tanner Schmidt, Dieter Fox:
Dynamic High Resolution Deformable Articulated Tracking. 3DV 2017: 38-47 - [c3]Tanner Schmidt, Dieter Fox:
Self-directed Lifelong Learning for Robot Vision. ISRR 2017: 109-114 - [i2]Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox:
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. CoRR abs/1711.00199 (2017) - [i1]Aaron Walsman, Weilin Wan, Tanner Schmidt, Dieter Fox:
Dynamic High Resolution Deformable Articulated Tracking. CoRR abs/1711.07999 (2017) - 2015
- [j1]Tanner Schmidt, Richard A. Newcombe, Dieter Fox:
DART: dense articulated real-time tracking with consumer depth cameras. Auton. Robots 39(3): 239-258 (2015) - [c2]Tanner Schmidt, Katharina Hertkorn, Richard A. Newcombe, Zoltan-Csaba Marton, Michael Suppa, Dieter Fox:
Depth-based tracking with physical constraints for robot manipulation. ICRA 2015: 119-126 - 2014
- [c1]Tanner Schmidt, Richard A. Newcombe, Dieter Fox:
DART: Dense Articulated Real-Time Tracking. Robotics: Science and Systems 2014
Coauthor Index
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