Amir Zamir
- Computer Vision and Pattern Recognition top 0.5%
- Geology top 0.2%
- Computational Mechanics top 1%
- Environmental Engineering top 2%
- Artificial Intelligence top 2%
- Co-authors
- Silvio SavareseOzan ŞenerMartin FischerHelen JiangIoannis BrilakisIro ArmeniMubarak ShahJitendra Malik
- Topics
- Robotics and Sensor-Based Localization (8 papers)Advanced Neural Network Applications (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on GraphicsComputer Vision and Image Understanding
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Amir Zamir
25 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 1.4k
- Geology 844
- Computational Mechanics 787
- Environmental Engineering 604
- Artificial Intelligence 478
Countries citing papers authored by Amir Zamir
This map shows the geographic impact of Amir Zamir'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 Amir Zamir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Zamir more than expected).
Fields of papers citing papers by Amir Zamir
This network shows the impact of papers produced by Amir Zamir. 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 Amir Zamir. The network helps show where Amir Zamir may publish in the future.
Co-authorship network of co-authors of Amir Zamir
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Zamir. A scholar is included among the top collaborators of Amir Zamir 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 Amir Zamir. Amir Zamir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 41 | |
| 6 | Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation | 1 |
| 7 | Which Tasks Should Be Learned Together in Multi-task Learning? | 99 |
| 8 | 53 | |
| 9 | Side-Tuning: Network Adaptation via Additive Side Networks | 2 |
| 10 | Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks. | 7 |
| 11 | Feedback Networks | 48 |
| 12 | 87 | |
| 13 | 21 | |
| 14 | 3D Semantic Parsing of Large-Scale Indoor Spacesbreakdown → | 1170 |
| 15 | The THUMOS challenge on action recognition for videos “in the wild”breakdown → | 325 |
| 16 | 70 | |
| 17 | 144 | |
| 18 | Visual Geo-Localization and Location-Aware Image Understanding | 2 |
| 19 | 23 | |
| 20 | 19 |
About Amir Zamir
Amir Zamir is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Neural Network Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Geology (844 citations), Computer Graphics and Computer-Aided Design (247 citations) and Computer Vision and Pattern Recognition (1.4k citations). Amir Zamir has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Silvio Savarese, Ozan Şener, Martin Fischer, Helen Jiang, Ioannis Brilakis, Iro Armeni, Mubarak Shah, Jitendra Malik, Yu–Gang Jiang and Ivan Laptev. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Computer Vision and Image Understanding.
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.