Tamara L. Berg
About
In The Last Decade
Tamara L. Berg
59 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 9.1k
- Artificial Intelligence 3.2k
- Signal Processing 1.2k
- Computational Mechanics 470
- Cognitive Neuroscience 377
Countries citing papers authored by Tamara L. Berg
This map shows the geographic impact of Tamara L. Berg'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 Tamara L. Berg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara L. Berg more than expected).
Fields of papers citing papers by Tamara L. Berg
This network shows the impact of papers produced by Tamara L. Berg. 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 Tamara L. Berg. The network helps show where Tamara L. Berg may publish in the future.
Co-authorship network of co-authors of Tamara L. Berg
This figure shows the co-authorship network connecting the top 25 collaborators of Tamara L. Berg. A scholar is included among the top collaborators of Tamara L. Berg 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 Tamara L. Berg. Tamara L. Berg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation | 1 |
| 3 | Detecting Moments and Highlights in Videos via Natural Language Queries | 41 |
| 4 | Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling breakdown → | 372 |
| 5 | 117 | |
| 6 | TVQA: Localized, Compositional Video Question Answering breakdown → | 295 |
| 7 | 248 | |
| 8 | 85 | |
| 9 | ReferItGame: Referring to Objects in Photographs of Natural Scenes breakdown → | 570 |
| 10 | 81 | |
| 11 | 2 | |
| 12 | Generalizing Image Captions for Image-Text Parallel Corpus | 49 |
| 13 | Collective Generation of Natural Image Descriptions | 208 |
| 14 | 251 | |
| 15 | Detecting Visual Text | 29 |
| 16 | Composing Simple Image Descriptions using Web-scale N-grams | 233 |
| 17 | 298 | |
| 18 | Im2Text: Describing Images Using 1 Million Captioned Photographs breakdown → | 592 |
| 19 | 327 | |
| 20 | 19 |
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.