World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
7091
World Ranking
12922
National Ranking
5219

Ersin Yumer 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 Ersin Yumer 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: 72 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Ersin Yumer 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 Ersin Yumer 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Ersin Yumer is a researcher affiliated with Adobe Systems in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

The main research topics covered in their work include Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning, Human Pose and Action Recognition, Video Surveillance and Tracking Methods, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, and Human Motion and Animation.

Recent publications by Ersin Yumer include the following papers:

  • Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving, 2021, arXiv (Cornell University)
  • Self-supervised Multi-view Person Association and Its Applications, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • FAME: 3D Shape Generation via Functionality-Aware Model Evolution, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Diverse Complexity Measures for Dataset Curation in Self-Driving, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Ersin Yumer has frequently published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Visualization and Computer Graphics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Their research collaborations include frequent co-authors such as Raquel Urtasun, Xinchen Yan, James Tu, Yun Chen, and Abbas Sadat. Coauthor counts indicate multiple collaborative works, with Raquel Urtasun being the most frequent co-author.

Best Publications

  • Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

    Xinchen Yan;Jimei Yang;Ersin Yumer;Yijie Guo

  • BodyNet: Volumetric Inference of 3D Human Body Shapes

    Gül Varol;Duygu Ceylan;Bryan C. Russell;Jimei Yang

  • UPSNet: A Unified Panoptic Segmentation Network

    Yuwen Xiong;Renjie Liao;Hengshuang Zhao;Rui Hu

  • Learning Blind Video Temporal Consistency

    Wei Sheng Lai;Jia Bin Huang;Oliver Wang;Eli Shechtman

  • Self-supervised learning of motion capture

    Hsiao-Yu Fish Tung;Hsiao-Wei Tung;Ersin Yumer;Katerina Fragkiadaki

  • Neural Face Editing with Intrinsic Image Disentangling

    Zhixin Shu;Ersin Yumer;Sunil Hadap;Kalyan Sunkavalli

  • Learning to predict indoor illumination from a single image

    Marc-André Gardner;Kalyan Sunkavalli;Ersin Yumer;Xiaohui Shen

  • GRASS: generative recursive autoencoders for shape structures

    Jun Li;Kai Xu;Siddhartha Chaudhuri;Ersin Yumer

  • Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

    Eunbyung Park;Jimei Yang;Ersin Yumer;Duygu Ceylan

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

    Yinda Zhang;Shuran Song;Ersin Yumer;Manolis Savva

  • Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks

    Xiao Yang;Ersin Yumer;Paul Asente;Mike Kraley

  • ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

    Chen-Hsuan Lin;Ersin Yumer;Oliver Wang;Eli Shechtman

  • Convolutional neural networks on surfaces via seamless toric covers

    Haggai Maron;Meirav Galun;Noam Aigerman;Miri Trope

  • PlaneNet: Piece-Wise Planar Reconstruction from a Single RGB Image

    Chen Liu;Jimei Yang;Duygu Ceylan;Ersin Yumer

  • 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

    Chuhang Zou;Ersin Yumer;Jimei Yang;Duygu Ceylan

  • Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

    Xinchen Yan;Jimei Yang;Ersin Yumer;Yijie Guo

  • Learning Design Semantics for Mobile Apps

    Thomas F. Liu;Mark Craft;Jason Situ;Ersin Yumer

  • Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

    Haibin Huang;Evangelos Kalogerakis;Siddhartha Chaudhuri;Duygu Ceylan

  • MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

    Xinchen Yan;Akash Rastogi;Ruben Villegas;Kalyan Sunkavalli

  • Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

    Xiao Yang;Ersin Yumer;Paul Asente;Mike Kraley

  • GRASS: Generative Recursive Autoencoders for Shape Structures

    Jun Li;Kai Xu;Siddhartha Chaudhuri;Ersin Yumer

  • Photo-Sketching: Inferring Contour Drawings From Images

    Mengtian Li;Zhe Lin;Radomir Mech;Ersin Yumer

Frequent Co-Authors

Raquel Urtasun
Raquel Urtasun University of Toronto
Duygu Ceylan
Duygu Ceylan Adobe Systems (United States)
Jimei Yang
Jimei Yang Adobe Systems (United States)
Vladimir G. Kim
Vladimir G. Kim Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Niloy J. Mitra
Niloy J. Mitra University College London
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Radomir Mech
Radomir Mech Adobe Systems (United States)
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor

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