Frank R. Schmidt

1.0k total citations
14 papers, 347 citations indexed

About

Frank R. Schmidt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Frank R. Schmidt has authored 14 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Frank R. Schmidt's work include Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Frank R. Schmidt is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Frank R. Schmidt collaborates with scholars based in Germany, United States and Canada. Frank R. Schmidt's co-authors include Daniel Cremers, J. Zico Kolter, Thomas Brox, Eric Wong, Jan Hendrik Metzen, Yuri Boykov, Lena Gorelick, Juncheng Li, Constantin Anastasopoulos and Gunnar Krueger and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Frank R. Schmidt

14 papers receiving 331 citations

Peers

Countries citing papers authored by Frank R. Schmidt

Since Specialization

Citations

This map shows the geographic impact of Frank R. 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 Frank R. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank R. Schmidt more than expected).

Fields of papers citing papers by Frank R. Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank R. 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 Frank R. Schmidt. The network helps show where Frank R. Schmidt may publish in the future.

Co-authorship network of co-authors of Frank R. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Frank R. Schmidt. A scholar is included among the top collaborators of Frank R. 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 Frank R. Schmidt. Frank R. 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:

14 of 14 papers shown

#	Work	Indexed citations
1	Adversarial camera stickers: A physical camera-based attack on deep learning systems 2019 ·International Conference on Machine Learning ·Juncheng Li, Frank R. Schmidt, J. Zico Kolter	13
2	Adversarial camera stickers: A Physical Camera Attack on Deep Learning Classifier 2019 ·arXiv (Cornell University) ·(unknown), Frank R. Schmidt, J. Zico Kolter	4
3	Wasserstein Adversarial Examples via Projected Sinkhorn Iterations 2019 ·arXiv (Cornell University) ·Eric Wong, Frank R. Schmidt, J. Zico Kolter	21
4	Scaling provable adversarial defenses 2018 ·Neural Information Processing Systems ·Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter	57
5	Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs 2018 ·(unknown), (unknown), (unknown), Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers	5
6	A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching 2017 ·Open Repository and Bibliography (University of Luxembourg) ·Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers	7
7	White Matter MS-Lesion SegmentationUsing a Geometric Brain Model 2016 ·IEEE Transactions on Medical Imaging ·(unknown), Frank R. Schmidt, Constantin Anastasopoulos, Cristina Granziera, Gunnar Krueger, Thomas Brox	20
8	Video Segmentation with Just a Few Strokes 2015 ·(unknown), Frank R. Schmidt, Thomas Brox	60
9	Fast Trust Region for Segmentation 2013 ·Lena Gorelick, Frank R. Schmidt, Yuri Boykov	26
10	Energy Minimization Methods in Computer Vision and Pattern Recognition 2011 ·Lecture notes in computer science ·Yuri Boykov, Frank R. Schmidt, Victor Lempitsky, Fredrik Kahl	8
11	Interactive Segmentation with Super-Labels 2011 ·Lecture notes in computer science ·Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov	14
12	Statistical and Geometrical Approaches to Visual Motion Analysis: International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers 2009 ·Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Daniel Cremers, Bodo Rosenhahn, Alan Yuille, Frank R. Schmidt	1
13	Efficient planar graph cuts with applications in Computer Vision 2009 ·2009 IEEE Conference on Computer Vision and Pattern Recognition ·Frank R. Schmidt, (unknown), Daniel Cremers	45
14	Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions 2008 ·Daniel Cremers, Frank R. Schmidt, (unknown)	66

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