DART: Dense Articulated Real-Time Tracking. - Tanner Schmidt; Richard A. Newcombe; Dieter Fox (Robotics: Science and Systems, 2014)

Depth-based tracking with physical constraints for robot manipulation. - Tanner Schmidt; Katharina Hertkorn; Richard A. Newcombe; Zoltan-Csaba Marton; Michael Suppa; Dieter Fox (ICRA, 2015)

DART: dense articulated real-time tracking with consumer depth cameras. - Tanner Schmidt; Richard A. Newcombe; Dieter Fox (Auton. Robots, 2015)

Dynamic High Resolution Deformable Articulated Tracking. - Aaron Walsman; Weilin Wan 001; Tanner Schmidt; Dieter Fox (3DV, 2017)

Self-directed Lifelong Learning for Robot Vision. - Tanner Schmidt; Dieter Fox (ISRR, 2017)

Self-Supervised Visual Descriptor Learning for Dense Correspondence. - Tanner Schmidt; Richard A. Newcombe; Dieter Fox (IEEE Robotics Autom. Lett., 2017)

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. - Yu Xiang 001; Tanner Schmidt; Venkatraman Narayanan; Dieter Fox (Robotics: Science and Systems, 2018)

Model-Based Self-Supervision for Fine-Grained Image Understanding. - Tanner Schmidt (2019)

Algorithm-Aware Neural Network Based Image Compression for High-Speed Imaging. - Reid Pinkham; Tanner Schmidt; Andrew Berkovich (AIVR, 2020)

FroDO: From Detections to 3D Objects. - Martin Rünz; Kejie Li; Meng Tang 001; Lingni Ma; Chen Kong; Tanner Schmidt; Ian D. Reid 001; Lourdes Agapito; Julian Straub; Steven Lovegrove; Richard A. Newcombe (CVPR, 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 (ECCV (29), 2020)

STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering. - Wentao Yuan; Zhaoyang Lv; Tanner Schmidt; Steven Lovegrove (CVPR, 2021)

Neural 3D Video Synthesis. - Tianye Li; Mira Slavcheva; Michael Zollhöfer; Simon Green; Christoph Lassner; Changil Kim 001; Tanner Schmidt; Steven Lovegrove; Michael Goesele; Zhaoyang Lv (CoRR, 2021)

Identity-Disentangled Neural Deformation Model for Dynamic Meshes. - Binbin Xu; Lingni Ma; Yuting Ye; Tanner Schmidt; Christopher D. Twigg; Steven Lovegrove (CoRR, 2021)

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 (CVPR Workshops, 2022)

Neural 3D Video Synthesis from Multi-view Video. - Tianye Li; Mira Slavcheva; Michael Zollhöfer; Simon Green; Christoph Lassner; Changil Kim 001; Tanner Schmidt; Steven Lovegrove; Michael Goesele; Richard A. Newcombe; Zhaoyang Lv (CVPR, 2022)

ERF: Explicit Radiance Field Reconstruction From Scratch. - Samir Aroudj; Steven Lovegrove; Eddy Ilg; Tanner Schmidt; Michael Goesele; Richard A. Newcombe (CoRR, 2022)

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation. - Tanner Schmidt; Richard A. Newcombe (CVPR, 2025)