Gedas Bertasius
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Media Technology top 2%
Papers in
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- Multimodal Machine Learning Applications 20
- Human Pose and Action Recognition 19
- Video Analysis and Summarization 13
- Advanced Image and Video Retrieval Techniques 11
- Advanced Neural Network Applications 7
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- Domain Adaptation and Few-Shot Learning 8
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Lorenzo Torresani (15 shared papers)Jianbo Shi (3 shared papers)Jianbo Shi (8 shared papers)Stella X. Yu (4 shared papers)Feng Cheng (3 shared papers)Mohit Bansal (9 shared papers)Hyun Soo Park (3 shared papers)Marc Niethammer (1 shared paper)
- Journals
- Lecture notes in computer science (10 papers)IEEE Robotics and Automation Letters (1 paper)Information Retrieval (1 paper)International Journal of Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Gedas Bertasius
48 papers receiving 1.9k citations
Gedas Bertasius's Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 1.5k
- Media Technology 152
- Artificial Intelligence 483
- Industrial and Manufacturing Engineering 72
- Signal Processing 77
Countries citing papers authored by Gedas Bertasius
This map shows the geographic impact of Gedas Bertasius'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 Gedas Bertasius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gedas Bertasius more than expected).
Fields of papers citing papers by Gedas Bertasius
This network shows the impact of papers produced by Gedas Bertasius. 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 Gedas Bertasius. The network helps show where Gedas Bertasius may publish in the future.
Co-authors
The 25 scholars most cited alongside Gedas Bertasius, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepEdge: A multi-scale bifurcated deep network for top-down contour detection Hit paper breakdown → | 2015 | 400 |
| 2 | 2018 | 187 | |
| 3 | 2016 | 162 | |
| 4 | 2015 | 159 | |
| 5 | 2017 | 97 | |
| 6 | 2023 | 83 | |
| 7 | 2022 | 76 | |
| 8 | 2017 | 76 | |
| 9 | Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives Hit paper breakdown → | 2024 | 67 |
| 10 | 2023 | 56 | |
| 11 | 2016 | 45 | |
| 12 | 2023 | 43 | |
| 13 | 2023 | 41 | |
| 14 | 2022 | 40 | |
| 15 | 2021 | 38 | |
| 16 | 2017 | 36 | |
| 17 | 2023 | 36 | |
| 18 | 2022 | 32 | |
| 19 | 2024 | 29 | |
| 20 | 2022 | 27 |
About Gedas Bertasius
Gedas Bertasius is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Music and Control and Systems Engineering, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (20 papers), Human Pose and Action Recognition (19 papers), Video Analysis and Summarization (13 papers), Advanced Image and Video Retrieval Techniques (11 papers), Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers), Music and Audio Processing (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Media Technology (152 citations), Artificial Intelligence (483 citations), Industrial and Manufacturing Engineering (72 citations) and Signal Processing (77 citations). Gedas Bertasius has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Lorenzo Torresani, Jianbo Shi, Jianbo Shi, Stella X. Yu, Feng Cheng, Mohit Bansal, Hyun Soo Park, Marc Niethammer, Zhenlin Xu and Yan-Bo Lin. Their work appears in journals such as Lecture notes in computer science, IEEE Robotics and Automation Letters, Information Retrieval, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.