Vladlen Koltun
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 0.01%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 29
- Human Pose and Action Recognition 15
- Digital Image Processing Techniques 15
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- Computational Geometry and Mesh Generation 34
- Computer Graphics and Visualization Techniques 25
- Co-authors
- Qifeng Chen (14 shared papers)Qian-Yi Zhou (9 shared papers)Jakob Engel (1 shared paper)Daniel Cremers (1 shared paper)Jaesik Park (4 shared papers)Jiaya Jia (3 shared papers)Hengshuang Zhao (2 shared papers)Sergey Levine (14 shared papers)
- Journals
- ACM Transactions on Graphics (27 papers)Discrete & Computational Geometry (8 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Science Robotics (3 papers)SIAM Journal on Computing (3 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Vladlen Koltun
161 papers receiving 18.1k citations
Vladlen Koltun's Hit Papers
Peers
Comparison fields: 5 of 180
- Computer Graphics and Computer-Aided Design 2.5k
- Geology 3.2k
- Computer Vision and Pattern Recognition 11.3k
- Aerospace Engineering 4.5k
- Computational Mechanics 3.6k
Countries citing papers authored by Vladlen Koltun
This map shows the geographic impact of Vladlen Koltun'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 Vladlen Koltun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladlen Koltun more than expected).
Fields of papers citing papers by Vladlen Koltun
This network shows the impact of papers produced by Vladlen Koltun. 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 Vladlen Koltun. The network helps show where Vladlen Koltun may publish in the future.
Co-authors
The 25 scholars most cited alongside Vladlen Koltun, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Direct Sparse Odometry Hit paper breakdown → | 2017 | 1839 |
| 2 | Point Transformer Hit paper breakdown → | 2021 | 1224 |
| 3 | Dilated Residual Networks Hit paper breakdown → | 2017 | 1092 |
| 4 | Tanks and temples Hit paper breakdown → | 2017 | 833 |
| 5 | Learning to See in the Dark Hit paper breakdown → | 2018 | 815 |
| 6 | Learning agile and dynamic motor skills for legged robots Hit paper breakdown → | 2019 | 814 |
| 7 | Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer Hit paper breakdown → | 2022 | 647 |
| 8 | Exploring Self-Attention for Image Recognition Hit paper breakdown → | 2020 | 602 |
| 9 | Learning quadrupedal locomotion over challenging terrain Hit paper breakdown → | 2020 | 584 |
| 10 | Photographic Image Synthesis with Cascaded Refinement Networks Hit paper breakdown → | 2017 | 473 |
| 11 | Fully Convolutional Geometric Features Hit paper breakdown → | 2019 | 448 |
| 12 | Learning robust perceptive locomotion for quadrupedal robots in the wild Hit paper breakdown → | 2022 | 443 |
| 13 | Tangent Convolutions for Dense Prediction in 3D Hit paper breakdown → | 2018 | 364 |
| 14 | Robust reconstruction of indoor scenes Hit paper breakdown → | 2015 | 343 |
| 15 | Champion-level drone racing using deep reinforcement learning Hit paper breakdown → | 2023 | 286 |
| 16 | What Do Single-View 3D Reconstruction Networks Learn? Hit paper breakdown → | 2019 | 256 |
| 17 | 2012 | 243 | |
| 18 | 2019 | 239 | |
| 19 | 2017 | 222 | |
| 20 | 2011 | 202 |
About Vladlen Koltun
Vladlen Koltun is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Artificial Intelligence and Control and Systems Engineering, having authored 163 papers that have together received 18.6k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (34 papers), 3D Shape Modeling and Analysis (32 papers), Advanced Vision and Imaging (29 papers), Robotics and Sensor-Based Localization (26 papers), Computer Graphics and Visualization Techniques (25 papers), Human Motion and Animation (18 papers), Human Pose and Action Recognition (15 papers) and Digital Image Processing Techniques (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.5k citations), Geology (3.2k citations), Computer Vision and Pattern Recognition (11.3k citations), Aerospace Engineering (4.5k citations) and Computational Mechanics (3.6k citations). Vladlen Koltun has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Qifeng Chen, Qian-Yi Zhou, Jakob Engel, Daniel Cremers, Jaesik Park, Jiaya Jia, Hengshuang Zhao, Sergey Levine, Thomas Funkhouser and Fisher Yu. Their work appears in journals such as ACM Transactions on Graphics, Discrete & Computational Geometry, IEEE Transactions on Pattern Analysis and Machine Intelligence, Science Robotics and SIAM Journal on Computing.
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.