World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
12349
World Ranking
7413
National Ranking
69

Yung-Yu Chuang 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 Yung-Yu Chuang 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Yung-Yu Chuang 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 Yung-Yu Chuang 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Yung-Yu Chuang is affiliated with National Taiwan University in Taiwan. Their research centers primarily on computer science and engineering, with a strong focus on computer vision and related subfields.

The scientist has contributed extensively to areas such as:

  • Advanced Vision and Imaging
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • 3D Shape Modeling and Analysis
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques
  • Advanced Neural Network Applications

Their recent scholarly output includes the following papers:

  • "Attention-Based View Selection Networks for Light-Field Disparity Estimation," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline," 2020, arXiv (Cornell University)
  • "Unsupervised Point Cloud Object Co-segmentation by Co-contrastive Learning and Mutual Attention Sampling," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Learning to cluster for rendering with many lights," 2021, ACM Transactions on Graphics

Yung-Yu Chuang frequently publishes in several venues, including:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators in their work include:

  • Yu-Lun Liu
  • Jia-Bin Huang
  • Ming-Hsuan Yang
  • Yen-Yu Lin
  • Wei-Sheng Lai

Their scientific contributions span 52 publications within computer science and 16 within engineering. Subfields include computer vision and pattern recognition, computational mechanics, geology, computer graphics and computer-aided design, and media technology.

Best Publications

  • Recovering high dynamic range radiance maps from photographs

    Paul E. Debevec;Jitendra Malik

  • A Bayesian approach to digital matting

    Yung-Yu Chuang;B. Curless;D.H. Salesin;R. Szeliski

  • Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

    Yu-Sheng Chen;Yu-Ching Wang;Man-Hsin Kao;Yung-Yu Chuang

  • Video matting of complex scenes

    Yung-Yu Chuang;Aseem Agarwala;Brian Curless;David H. Salesin

  • Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification

    Zhixiang Wang;Zheng Wang;Yinqiang Zheng;Yung-Yu Chuang

  • Multiple Kernel Fuzzy Clustering

    Hsin-Chien Huang;Yung-Yu Chuang;Chu-Song Chen

  • Shape-Preserving Half-Projective Warps for Image Stitching

    Che-Han Chang;Yoichi Sato;Yung-Yu Chuang

  • FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image

    Tsun-Yi Yang;Yi-Ting Chen;Yen-Yu Lin;Yung-Yu Chuang

  • Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

    Yu-Lun Liu;Wei-Sheng Lai;Yu-Sheng Chen;Yi-Lung Kao

  • Natural Image Stitching with the Global Similarity Prior

    Yu-Sheng Chen;Yung-Yu Chuang

  • Affinity aggregation for spectral clustering

    Hsin-Chien Huang;Yung-Yu Chuang;Chu-Song Chen

  • Video stabilization using robust feature trajectories

    Ken-Yi Lee;Yung-Yu Chuang;Bing-Yu Chen;Ming Ouhyoung

  • Animating pictures with stochastic motion textures

    Yung-Yu Chuang;Dan B Goldman;Ke Colin Zheng;Brian Curless

  • Environment matting extensions: towards higher accuracy and real-time capture

    Yung-Yu Chuang;Douglas E. Zongker;Joel Hindorff;Brian Curless

  • SURE-based optimization for adaptive sampling and reconstruction

    Tzu-Mao Li;Yu-Ting Wu;Yung-Yu Chuang

  • Deep Video Frame Interpolation Using Cyclic Frame Generation

    Yu Lun Liu;Yu Lun Liu;Yi Tung Liao;Yi Tung Liao;Yen Yu Lin;Yung Yu Chuang;Yung Yu Chuang

  • Content-Aware Display Adaptation and Interactive Editing for Stereoscopic Images

    Che-Han Chang;Chia-Kai Liang;Yung-Yu Chuang

  • SSR-NET: A compact soft stagewise regression network for age estimation

    Tsun Yi Yang;Tsun Yi Yang;Yi-Hsuan Huang;Yi-Hsuan Huang;Yen Yu Lin;Pi Cheng Hsiu

  • Cubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data

    Chien.-Chang Ho;Fu-Che Wu;Bing-Yu Chen;Yung-Yu Chuang

  • Robust Dynamic Radiance Fields

    Unknown

  • Weakly supervised instance segmentation using the bounding box tightness prior

    Cheng Chun Hsu;Kuang Jui Hsu;Chung Chi Tsai;Yen Yu Lin

  • Environment matting extensions

    Y. Y. Chuang;D. E. Zongker;J. Hindorff;B. Curless

Frequent Co-Authors

Yen-Yu Lin
Yen-Yu Lin National Yang Ming Chiao Tung University
Bing-Yu Chen
Bing-Yu Chen National Taiwan University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Brian Curless
Brian Curless University of Washington
David Salesin
David Salesin Google (United States)
Richard Szeliski
Richard Szeliski University of Washington
Wen-Huang Cheng
Wen-Huang Cheng National Yang Ming Chiao Tung University
Chu-Song Chen
Chu-Song Chen National Taiwan University
Yinqiang Zheng
Yinqiang Zheng National Institute of Informatics

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