World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
8606
World Ranking
8303
National Ranking
3560

Brian Price 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 Brian Price 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Brian Price 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 Brian Price 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Brian Price is a researcher affiliated with Adobe Systems in the United States. Their work predominantly spans the field of Computer Science, with a particular emphasis on Computer Vision and Pattern Recognition. Their research contributions extend into several related subfields including Artificial Intelligence, Ocean Engineering, Mechanical Engineering, and Music.

Their recent publications reflect a focus on various advanced techniques in image processing, machine learning, and generative models. Notable papers include:

  • Getting to 99% Accuracy in Interactive Segmentation, 2020, arXiv (Cornell University)
  • Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Text and Style Conditioned GAN for Generation of Offline Handwriting Lines, 2020, arXiv (Cornell University)
  • 3D reactive inkjet printing of bisphenol A-polycarbonate, 2022, Additive manufacturing
  • ObjectStitch: Generative Object Compositing, 2022, arXiv (Cornell University)

Their frequent coauthors include:

  • Scott Cohen (9 joint publications)
  • Danna Gurari (5 joint publications)
  • Zhe Lin (5 joint publications)
  • Seoung Wug Oh (4 joint publications)
  • Joon-Young Lee (4 joint publications)

Brian Price has contributed extensively to several publication venues, with a majority of papers appearing in arXiv (Cornell University). Other venues include the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Additive manufacturing, Computer Graphics Forum, and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Their main topics of research encompass a range of advanced machine learning and image processing techniques such as:

  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Handwritten Text Recognition Techniques
  • Image Processing and 3D Reconstruction
  • Advanced Vision and Imaging
  • Natural Language Processing Techniques

Best Publications

  • YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

    Ning Xu;Linjie Yang;Yuchen Fan;Jianchao Yang

  • Towards unified depth and semantic prediction from a single image

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Deep Image Matting

    Ning Xu;Brian Price;Scott Cohen;Thomas Huang

  • Minimum Barrier Salient Object Detection at 80 FPS

    Jianming Zhang;Stan Sclaroff;Zhe Lin;Xiaohui Shen

  • Deep Interactive Object Selection

    Ning Xu;Brian Price;Scott Cohen;Jimei Yang

  • Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

    Jimei Yang;Brian Price;Scott Cohen;Honglak Lee

  • Geodesic graph cut for interactive image segmentation

    Brian L. Price;Bryan Morse;Scott Cohen

  • Improving Image Matting Using Comprehensive Sampling Sets

    Ehsan Shahrian;Deepu Rajan;Brian Price;Scott Cohen

  • DVQA: Understanding Data Visualizations via Question Answering

    Kushal Kafle;Brian Price;Scott Cohen;Christopher Kanan

  • Inner and Inter Label Propagation: Salient Object Detection in the Wild

    Hongyang Li;Huchuan Lu;Zhe Lin;Xiaohui Shen

  • Automatic Portrait Segmentation for Image Stylization

    Xiaoyong Shen;Aaron Hertzmann;Jiaya Jia;Sylvain Paris

  • LIVEcut: Learning-based interactive video segmentation by evaluation of multiple propagated cues

    Brian L. Price;Bryan S. Morse;Scott Cohen

  • Discriminability Objective for Training Descriptive Captions

    Ruotian Luo;Gregory Shakhnarovich;Scott Cohen;Brian Price

  • Data Augmentation for Recognition of Handwritten Words and Lines Using a CNN-LSTM Network

    Curtis Wigington;Seth Stewart;Brian Davis;Bill Barrett

  • Context Driven Scene Parsing with Attention to Rare Classes

    Jimei Yang;Brian Price;Scott Cohen;Ming-Hsuan Yang

  • Effective learning-based illuminant estimation using simple features

    Dongliang Cheng;Brian Price;Scott Cohen;Michael S. Brown

  • When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images

    Mahmoud Afifi;Brian Price;Scott Cohen;Michael S. Brown

  • Salient Object Subitizing

    Jianming Zhang;Shugao Ma;Mehrnoosh Sameki;Stan Sclaroff

  • Deep grabcut for object selection

    Ning Xu;Brian L. Price;Scott Cohen;Jimei Yang

  • Joint Object and Part Segmentation Using Deep Learned Potentials

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Forecasting Human Dynamics from Static Images

    Yu-Wei Chao;Jimei Yang;Brian Price;Scott Cohen

  • Discriminability objective for training descriptive captions

    Ruotian Luo;Brian Price;Scott Cohen;Gregory Shakhnarovich

Frequent Co-Authors

Scott Cohen
Scott Cohen Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Zhe Lin
Zhe Lin Adobe Systems (United States)
Jimei Yang
Jimei Yang Adobe Systems (United States)
Peng Wang
Peng Wang Baidu (China)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Michael S. Brown
Michael S. Brown York University
Radomir Mech
Radomir Mech Adobe Systems (United States)
Ahmed Elgammal
Ahmed Elgammal Rutgers, The State University of New Jersey
Stan Sclaroff
Stan Sclaroff Boston University

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