World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
113
Citations
53597
World Ranking
201
National Ranking
115

Jiebo Luo 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 Jiebo Luo 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: 823 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Jiebo Luo 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 Jiebo Luo 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: 113 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to multimedia content analysis and social multimedia informatics
  • 2009 - IEEE Fellow For contributions to semantic image understanding and intelligent image processing
  • 2008 - SPIE Fellow

Overview

Jiebo Luo is affiliated with the University of Rochester in the United States and has contributed extensively to the field of computer science, with a specialized focus on computer vision and pattern recognition as well as artificial intelligence. Their research output includes a significant number of publications across various subfields, encompassing areas such as sociology and political science, signal processing, and biomedical engineering.

The scientist's recent papers illustrate the breadth of their research interests and impact. Among these are:

  • Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition (2021), published in IEEE Transactions on Circuits and Systems for Video Technology
  • Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study (2021), published in JMIR Infodemiology

The scientist frequently collaborates with several researchers, notably Hanjia Lyu with 76 joint works, Haofu Liao with 26, Haitian Zheng with 24, Zheng-Jun Zha with 17, and Hang Hua with 17 publications.

Jiebo Luo's work is disseminated through prominent scholarly venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing

The main fields and subfields in which Jiebo Luo publishes reflect interdisciplinary expertise:

  • Computer Science
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Sociology and Political Science
  • Signal Processing
  • Biomedical Engineering

The topics Jiebo Luo focuses on include:

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

Recognitions awarded to Jiebo Luo include the ACM Fellow designation in 2018 for contributions to multimedia content analysis and social multimedia informatics, the IEEE Fellow title in 2009 for work in semantic image understanding and intelligent image processing, and the SPIE Fellow distinction in 2008.

Best Publications

  • Learning multi-label scene classification

    Matthew R. Boutell;Jiebo Luo;Xipeng Shen;Christopher M. Brown

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • Image Captioning with Semantic Attention

    Quanzeng You;Hailin Jin;Zhaowen Wang;Chen Fang

  • Recognizing realistic actions from videos “in the wild”

    Jingen Liu;Jiebo Luo;Mubarak Shah

  • Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

  • Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs

    Zhiwei Jin;Juan Cao;Han Guo;Yongdong Zhang

  • Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning

    Wenbin Li;Lei Wang;Jinglin Xu;Jing Huo

  • Visual event recognition in videos by learning from web data

    Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang;Jiebo Luo

  • iCoseg: Interactive co-segmentation with intelligent scribble guidance

    Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo

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

    Quanzeng You;Jiebo Luo;Hailin Jin;Jianchao Yang

  • Learning from Noisy Labels with Distillation

    Yuncheng Li;Jianchao Yang;Yale Song;Liangliang Cao

  • Aesthetics and Emotions in Images

    D. Joshi;R. Datta;E. Fedorovskaya;Quang-Tuan Luong

  • Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition

    Heliang Zheng;Jianlong Fu;Zheng-Jun Zha;Jiebo Luo

  • Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language.

    Songyang Zhang;Houwen Peng;Jianlong Fu;Jiebo Luo

  • VizWiz Grand Challenge: Answering Visual Questions from Blind People

    Danna Gurari;Qing Li;Abigale J. Stangl;Anhong Guo

  • A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback

    Yi Yang;Feiping Nie;Dong Xu;Jiebo Luo

  • Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification

    Mang Ye;Jianbing Shen;David J. Crandall;Ling Shao

  • Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

    Guo-Jun Qi;Jiebo Luo

  • Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications

    C.W. Chen;J. Luo;K.J. Parker

  • Visual event recognition in videos by learning from web data

    Unknown

  • News verification by exploiting conflicting social viewpoints in microblogs

    Zhiwei Jin;Juan Cao;Yongdong Zhang;Jiebo Luo

  • METHOD FOR DETECTING SUBJECT OF IMAGE

    Luo Jiebo;Etz Stephen;Singhal Amit

  • Recognizing realistic actions from videos .

    Jingen Liu;Jiebo Luo;Mubarak Shah

  • Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition (ICCV 2017 Oral)

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

Frequent Co-Authors

Chang Wen Chen
Chang Wen Chen Hong Kong Polytechnic University
Tao Mei
Tao Mei Jingdong (China)
Andrew C. Gallagher
Andrew C. Gallagher Google (United States)
Dong Xu
Dong Xu University of Hong Kong
Henry Kautz
Henry Kautz University of Virginia
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Liangliang Cao
Liangliang Cao Google (United States)
Kevin J. Parker
Kevin J. Parker University of Rochester
Wei Liu
Wei Liu Tencent (China)
Hailin Jin
Hailin Jin Adobe Systems (United States)

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