Tanner Schmidt

According to our database, Tanner Schmidt authored at least 17 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

ERF: Explicit Radiance Field Reconstruction From Scratch.

Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard A. Newcombe

CoRR, 2022

Neural 3D Video Synthesis from Multi-view Video.

Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, Zhaoyang Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Feature Query Networks: Neural Surface Description for Camera Pose Refinement.

Hugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotný, Richard A. Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Identity-Disentangled Neural Deformation Model for Dynamic Meshes.

Binbin Xu, Lingni Ma, Yuting Ye, Tanner Schmidt, Christopher D. Twigg, Steven Lovegrove

CoRR, 2021

Neural 3D Video Synthesis.

Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv

CoRR, 2021

STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering.

Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction.

Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe

Proceedings of the Computer Vision - ECCV 2020, 2020

FroDO: From Detections to 3D Objects.

Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Algorithm-Aware Neural Network Based Image Compression for High-Speed Imaging.

Reid Pinkham, Tanner Schmidt, Andrew Berkovich

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020

2019

Model-Based Self-Supervision for Fine-Grained Image Understanding.

Tanner Schmidt

PhD thesis, 2019

2018

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox

Proceedings of the Robotics: Science and Systems XIV, 2018

2017

Self-Supervised Visual Descriptor Learning for Dense Correspondence.

Tanner Schmidt, Richard A. Newcombe, Dieter Fox

IEEE Robotics Autom. Lett., 2017

Self-directed Lifelong Learning for Robot Vision.

Tanner Schmidt, Dieter Fox

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Dynamic High Resolution Deformable Articulated Tracking.

Aaron Walsman, Weilin Wan, Tanner Schmidt, Dieter Fox

Proceedings of the 2017 International Conference on 3D Vision, 2017

2015

DART: dense articulated real-time tracking with consumer depth cameras.

Tanner Schmidt, Richard A. Newcombe, Dieter Fox

Auton. Robots, 2015

Depth-based tracking with physical constraints for robot manipulation.

Tanner Schmidt, Katharina Hertkorn, Richard A. Newcombe, Zoltan-Csaba Marton, Michael Suppa, Dieter Fox

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

DART: Dense Articulated Real-Time Tracking.

Tanner Schmidt, Richard A. Newcombe, Dieter Fox

Proceedings of the Robotics: Science and Systems X, 2014