World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
15062
World Ranking
3069
National Ranking
1500

Hailin Jin 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 Hailin Jin 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: 214 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Hailin Jin 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 Hailin Jin 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Hailin Jin is affiliated with Adobe Systems in the United States. Their research primarily spans the field of Computer Science, with a strong emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design, and Oncology.

The scientist's work covers a range of topics including Multimodal Machine Learning Applications, Video Analysis and Summarization, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning, and Advanced Image Processing Techniques.

Frequent publication venues for Hailin Jin include arXiv (Cornell University) with 24 publications, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) with 4 publications, Computers & Graphics and Frontiers in Oncology each with 2 publications, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 1 publication.

Their collaborative network includes frequent coauthors such as Jiabo Huang, Shaogang Gong, Zhaowen Wang, Yang Liu, and John Collomosse, each contributing substantially to joint research efforts.

Some of the recent papers authored or coauthored by Hailin Jin are:

  • TeachText: CrossModal Generalized Distillation for Text-Video Retrieval, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction, 2020, arXiv (Cornell University)
  • Cross Modal Retrieval with Querybank Normalisation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Time-Equivariant Contrastive Video Representation Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

  • Image Captioning with Semantic Attention

    Quanzeng You;Hailin Jin;Zhaowen Wang;Chen Fang

  • Content-preserving warps for 3D video stabilization

    Feng Liu;Michael Gleicher;Hailin Jin;Aseem Agarwala

  • Robust image sentiment analysis using progressively trained and domain transferred deep networks

    Quanzeng You;Jiebo Luo;Hailin Jin;Jianchao Yang

  • Fine-grained recognition without part annotations

    Jonathan Krause;Hailin Jin;Jianchao Yang;Li Fei-Fei

  • RAPID: Rating Pictorial Aesthetics using Deep Learning

    Xin Lu;Zhe Lin;Hailin Jin;Jianchao Yang

  • Structure from motion causally integrated over time

    A. Chiuso;P. Favaro;Hailin Jin;S. Soatto

  • Subspace video stabilization

    Feng Liu;Michael Gleicher;Jue Wang;Hailin Jin

  • Building a large scale dataset for image emotion recognition: the fine print and the benchmark

    Quanzeng You;Jiebo Luo;Hailin Jin;Jianchao Yang

  • Composition-Preserving Deep Photo Aesthetics Assessment

    Long Mai;Hailin Jin;Feng Liu

  • Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

    Yinda Zhang;Shuran Song;Ersin Yumer;Manolis Savva

  • Real-time feature tracking and outlier rejection with changes in illumination

    Hailin Jin;P. Favaro;S. Soatto

  • Rating Image Aesthetics Using Deep Learning

    Xin Lu;Zhe Lin;Hailin Jin;Jianchao Yang

  • Superpixel Segmentation With Fully Convolutional Networks

    Fengting Yang;Qian Sun;Hailin Jin;Zihan Zhou

  • Stereoscopic inpainting: Joint color and depth completion from stereo images

    Liang Wang;Hailin Jin;Ruigang Yang;Minglun Gong

  • Automatic Scene Inference for 3D Object Compositing

    Kevin Karsch;Kalyan Sunkavalli;Sunil Hadap;Nathan Carr

  • Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance

    Hailin Jin;Stefano Soatto;Anthony J. Yezzi

  • Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia

    Quanzeng You;Jiebo Luo;Hailin Jin;Jianchao Yang

  • Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow

    Linchao Bao;Qingxiong Yang;Hailin Jin

  • GroupSAC: Efficient consensus in the presence of groupings

    Kai Ni;Hailin Jin;Frank Dellaert

  • Large Displacement Optical Flow from Nearest Neighbor Fields

    Zhuoyuan Chen;Hailin Jin;Zhe Lin;Scott Cohen

  • Automatic Scene Inference for 3D Object Compositing

    Kevin Karsch;Kalyan Sunkavalli;Sunil Hadap;Nathan Carr

Frequent Co-Authors

Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Jianchao Yang
Jianchao Yang ByteDance
Zhe Lin
Zhe Lin Adobe Systems (United States)
Jonathan Brandt
Jonathan Brandt Adobe Systems (United States)
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Scott Cohen
Scott Cohen Adobe Systems (United States)
Jiebo Luo
Jiebo Luo University of Rochester
John Collomosse
John Collomosse University of Surrey
Paolo Favaro
Paolo Favaro University of Bern

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