World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
25925
World Ranking
4433
National Ranking
2074

Tamara L. Berg publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tamara L. Berg sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Tamara L. Berg D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tamara L. Berg sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Tamara L. Berg is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of Computer Science with a strong emphasis on Computer Vision and Pattern Recognition.

Their work is distributed across several subfields, including Artificial Intelligence, Biophysics, Human-Computer Interaction, and Signal Processing. Tamara L. Berg's research topics focus on:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Video Analysis and Summarization
  • Generative Adversarial Networks and Image Synthesis
  • Image Retrieval and Classification Techniques

Among their recent publications are the following papers:

  • Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling, 2021, arXiv (Cornell University)
  • VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation, 2021, arXiv (Cornell University)
  • CommerceMM, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries, 2021, arXiv (Cornell University)
  • TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval, 2020, arXiv (Cornell University)

Tamara L. Berg has frequently published in venues such as:

  • arXiv (Cornell University)
  • UNC Libraries
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Lecture notes in computer science

Their collaborative work includes frequent co-authors:

  • Mohit Bansal
  • Licheng Yu
  • Jie Lei
  • Animesh A. Sinha
  • Alexander C. Berg

Best Publications

  • Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments

    Gary B. Huang;Marwan Mattar;Tamara Berg;Eric Learned-Miller

  • BabyTalk: Understanding and Generating Simple Image Descriptions

    Girish Kulkarni;Visruth Premraj;Vicente Ordonez;Sagnik Dhar

  • Shape matching and object recognition using low distortion correspondences

    A.C. Berg;T.L. Berg;J. Malik

  • Im2Text: Describing Images Using 1 Million Captioned Photographs

    Vicente Ordonez;Girish Kulkarni;Tamara L. Berg

  • ReferItGame: Referring to Objects in Photographs of Natural Scenes

    Sahar Kazemzadeh;Vicente Ordonez;Mark Matten;Tamara Berg

  • Modeling Context in Referring Expressions

    Licheng Yu;Patrick Poirson;Shan Yang;Alexander C. Berg

  • MAttNet: Modular Attention Network for Referring Expression Comprehension

    Licheng Yu;Zhe Lin;Xiaohui Shen;Jimei Yang

  • Baby talk: Understanding and generating simple image descriptions

    Girish Kulkarni;Visruth Premraj;Sagnik Dhar;Siming Li

  • Who are you with and where are you going

    Kota Yamaguchi;Alexander C. Berg;Luis E. Ortiz;Tamara L. Berg

  • High level describable attributes for predicting aesthetics and interestingness

    Sagnik Dhar;Vicente Ordonez;Tamara L Berg

  • Two-person interaction detection using body-pose features and multiple instance learning

    Kiwon Yun;Jean Honorio;Debaleena Chattopadhyay;Tamara L. Berg

  • Parsing clothing in fashion photographs

    Kota Yamaguchi;M. Hadi Kiapour;Luis E. Ortiz;Tamara L. Berg

  • Automatic attribute discovery and characterization from noisy web data

    Tamara L. Berg;Alexander C. Berg;Jonathan Shih

  • Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling

    Jie Lei;Linjie Li;Luowei Zhou;Zhe Gan

  • TVQA: Localized, Compositional Video Question Answering

    Jie Lei;Licheng Yu;Mohit Bansal;Tamara L. Berg

  • Names and faces in the news

    T.L. Berg;A.C. Berg;J. Edwards;M. Maire

  • Where to Buy It: Matching Street Clothing Photos in Online Shops

    M. Hadi Kiapour;Xufeng Han;Svetlana Lazebnik;Alexander C. Berg

  • Midge: Generating Image Descriptions From Computer Vision Detections

    Margaret Mitchell;Jesse Dodge;Amit Goyal;Kota Yamaguchi

  • Composing Simple Image Descriptions using Web-scale N-grams

    Siming Li;Girish Kulkarni;Tamara L. Berg;Alexander C. Berg

  • Collective Generation of Natural Image Descriptions

    Polina Kuznetsova;Vicente Ordonez;Alexander Berg;Tamara Berg

Frequent Co-Authors

Alexander C. Berg
Alexander C. Berg University of North Carolina at Chapel Hill
Licheng Yu
Licheng Yu Facebook (United States)
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Yejin Choi
Yejin Choi Stanford University
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Dimitris Samaras
Dimitris Samaras Stony Brook University
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Hal Daumé
Hal Daumé University of Maryland, College Park
Margaret Mitchell
Margaret Mitchell Hugging Face

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