Peter Ochs
Impact in
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- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
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- Sparse and Compressive Sensing Techniques 16
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- Advanced Optimization Algorithms Research 12
- Iterative Methods for Nonlinear Equations 2
- Co-authors
- Thomas Brox (14 shared papers)Thomas Pock (8 shared papers)Jitendra Malik (1 shared paper)Yunjin Chen (1 shared paper)Alexey Dosovitskiy (3 shared papers)René Ranftl (2 shared papers)Olaf Ronneberger (2 shared papers)Wolfgang Driever (2 shared papers)
In The Last Decade
Peter Ochs
29 papers receiving 1.4k citations
Peter Ochs's Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 920
- Numerical Analysis 174
- Computational Mechanics 437
- Computational Mathematics 11
- Mathematical Physics 153
Countries citing papers authored by Peter Ochs
This map shows the geographic impact of Peter Ochs'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 Peter Ochs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ochs more than expected).
Fields of papers citing papers by Peter Ochs
This network shows the impact of papers produced by Peter Ochs. 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 Peter Ochs. The network helps show where Peter Ochs may publish in the future.
Co-authors
The 24 scholars most cited alongside Peter Ochs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Segmentation of Moving Objects by Long Term Video Analysis Hit paper breakdown → | 2014 | 414 |
| 2 | iPiano: Inertial Proximal Algorithm for Nonconvex Optimization Hit paper breakdown → | 2014 | 283 |
| 3 | 2011 | 155 | |
| 4 | 2015 | 138 | |
| 5 | 2012 | 124 | |
| 6 | 2015 | 82 | |
| 7 | 2013 | 43 | |
| 8 | 2011 | 40 | |
| 9 | 2015 | 38 | |
| 10 | 2019 | 27 | |
| 11 | 2016 | 26 | |
| 12 | 2016 | 8 | |
| 13 | Long Term Motion Analysis for Object Level Grouping and Nonsmooth Optimization Methods | 2015 | 6 |
| 14 | 2016 | 5 | |
| 15 | 2012 | 5 | |
| 16 | Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms | 2019 | 4 |
| 17 | 2021 | 3 | |
| 18 | Model Function Based Conditional Gradient Method with Armijo-like Line Search | 2019 | 2 |
| 19 | Osmosis models for visual computing | 2011 | 2 |
| 20 | Adaptive Fista | 2017 | 1 |
About Peter Ochs
Peter Ochs is a scholar working on Computational Mechanics, Numerical Analysis, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mathematical Physics, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (16 papers), Advanced Optimization Algorithms Research (12 papers), Advanced Vision and Imaging (6 papers), Medical Image Segmentation Techniques (5 papers), Numerical methods in inverse problems (5 papers), Optimization and Variational Analysis (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Iterative Methods for Nonlinear Equations (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (920 citations), Numerical Analysis (174 citations), Computational Mechanics (437 citations), Computational Mathematics (11 citations) and Mathematical Physics (153 citations). Peter Ochs has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Thomas Brox, Thomas Pock, Jitendra Malik, Yunjin Chen, Alexey Dosovitskiy, René Ranftl, Olaf Ronneberger, Wolfgang Driever, H. Bürkhardt and Joachim Weickert. Their work appears in journals such as SIAM Journal on Imaging Sciences, Journal of Mathematical Imaging and Vision, SIAM Journal on Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence and Computational Optimization and Applications.
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.