Tanner Schmidt

3.1k total citations · 1 hit paper
11 papers, 496 citations indexed

About

Tanner Schmidt is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Tanner Schmidt has authored 11 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 2 papers in Computational Mechanics. Recurrent topics in Tanner Schmidt's work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Tanner Schmidt is often cited by papers focused on Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Tanner Schmidt collaborates with scholars based in United States, Israel and Australia. Tanner Schmidt's co-authors include Richard Newcombe, Dieter Fox, Steven Lovegrove, Zhaoyang Lv, Christoph Lassner, Michael Zollhoefer, Chang-Il Kim, Michael Goesele, Simon Green and Tianye Li and has published in prestigious journals such as Autonomous Robots, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Tanner Schmidt

10 papers receiving 478 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neural 3D Video Synthesis from Multi-view Video

2022 166 citations Tianye Li, Michael Zollhoefer et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tanner Schmidt United States	9	382	142	126	124	108	11	496
Avishek Chatterjee India	10	517 1.4×	186 1.3×	73 0.6×	116 0.9×	148 1.4×	18	641
Kwan-Yee Lin China	12	502 1.3×	83 0.6×	65 0.5×	76 0.6×	144 1.3×	18	598
Jean-Sébastien Franco France	14	578 1.5×	192 1.4×	34 0.3×	200 1.6×	168 1.6×	38	662
Jeremy Reizenstein United Kingdom	5	416 1.1×	90 0.6×	44 0.3×	174 1.4×	236 2.2×	6	546
Haibin Huang China	12	363 1.0×	145 1.0×	91 0.7×	171 1.4×	298 2.8×	29	622
Kiran Varanasi Germany	12	807 2.1×	163 1.1×	131 1.0×	161 1.3×	443 4.1×	24	948
Gaurav Bharaj United States	10	591 1.5×	42 0.3×	149 1.2×	107 0.9×	190 1.8×	17	688
Michael Zollhoefer United States	8	450 1.2×	72 0.5×	77 0.6×	256 2.1×	284 2.6×	13	560
Kaiwen Guo China	15	747 2.0×	156 1.1×	104 0.8×	280 2.3×	469 4.3×	24	898
Alexander Berner Germany	12	394 1.0×	156 1.1×	74 0.6×	176 1.4×	262 2.4×	15	578

Countries citing papers authored by Tanner Schmidt

Since Specialization

Citations

This map shows the geographic impact of Tanner Schmidt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tanner Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanner Schmidt more than expected).

Fields of papers citing papers by Tanner Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanner Schmidt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tanner Schmidt. The network helps show where Tanner Schmidt may publish in the future.

Co-authorship network of co-authors of Tanner Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Tanner Schmidt. A scholar is included among the top collaborators of Tanner Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanner Schmidt. Tanner Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Schmidt, Tanner & Richard Newcombe. (2025). Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation. 29428–29437.

2.

Li, Tianye, Michael Zollhoefer, Simon Green, et al.. (2022). Neural 3D Video Synthesis from Multi-view Video. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5511–5521. 166 indexed citations breakdown →

3.

DeTone, Daniel, Geoffrey Pascoe, Tanner Schmidt, et al.. (2022). Feature Query Networks: Neural Surface Description for Camera Pose Refinement. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5067–5077. 9 indexed citations

4.

Yuan, Wentao, Zhaoyang Lv, Tanner Schmidt, & Steven Lovegrove. (2021). STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering. 13139–13147. 41 indexed citations

5.

Rünz, Martin, Kejie Li, Meng Tang, et al.. (2020). FroDO: From Detections to 3D Objects. 14708–14717. 39 indexed citations

6.

Schmidt, Tanner, et al.. (2020). Algorithm-Aware Neural Network Based Image Compression for High-Speed Imaging. 13. 196–199. 4 indexed citations

7.

Schmidt, Tanner, Richard Newcombe, & Dieter Fox. (2016). Self-Supervised Visual Descriptor Learning for Dense Correspondence. IEEE Robotics and Automation Letters. 2(2). 420–427. 80 indexed citations

8.

Schmidt, Tanner, Richard Newcombe, & Dieter Fox. (2015). DART: dense articulated real-time tracking with consumer depth cameras. Autonomous Robots. 39(3). 239–258. 36 indexed citations

9.

Schmidt, Tanner, Katharina Hertkorn, Richard Newcombe, et al.. (2015). Depth-based tracking with physical constraints for robot manipulation. elib (German Aerospace Center). 119–126. 36 indexed citations

10.

Schmidt, Tanner, Richard Newcombe, & Dieter Fox. (2014). DART: Dense Articulated Real-Time Tracking. 74 indexed citations

11.

Schmidt, Tanner, Hossein Rahnama, & Alireza Sadeghian. (2008). A review of applications of artificial neural networks in cryptosystems. World Automation Congress. 1–6. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact