World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12442
World Ranking
7043
National Ranking
337

Slobodan Ilic 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 Slobodan Ilic 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: 163 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Slobodan Ilic 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 Slobodan Ilic 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: 45 D-Index — 51st percentile

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

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

Overview

Slobodan Ilic is affiliated with the Technical University of Munich in Germany. Their research encompasses a range of topics and fields primarily centered on engineering and computer science, with a particular focus on subfields such as computer vision and pattern recognition, aerospace engineering, geology, computational mechanics, and control and systems engineering.

The main topics covered in their research include:

  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • 3D Shape Modeling and Analysis
  • Robot Manipulation and Learning
  • Advanced Vision and Imaging
  • Image and Object Detection Techniques
  • Advanced Neural Network Applications

Frequent publication venues for Ilic's work are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Medical Imaging
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Recent papers authored by or involving Slobodan Ilic include:

  • "GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration," 2021, arXiv (Cornell University)
  • "OSOP: A Multi-Stage One Shot Object Pose Estimation Framework," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Collaboration is a notable aspect of Ilic's work, with frequent co-authors including Benjamin Busam, Ivan Shugurov, Nassir Navab, Hao Yu, and Shadi Albarqouni.

Best Publications

  • Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

    Stefan Hinterstoisser;Vincent Lepetit;Slobodan Ilic;Stefan Holzer

  • Model globally, match locally: Efficient and robust 3D object recognition

    Bertram Drost;Markus Ulrich;Nassir Navab;Slobodan Ilic

  • SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

    Wadim Kehl;Fabian Manhardt;Federico Tombari;Slobodan Ilic

  • Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes

    Stefan Hinterstoisser;Stefan Holzer;Cedric Cagniart;Slobodan Ilic

  • Gradient Response Maps for Real-Time Detection of Textureless Objects

    S. Hinterstoisser;C. Cagniart;S. Ilic;P. Sturm

  • PPFNet: Global Context Aware Local Features for Robust 3D Point Matching

    Haowen Deng;Tolga Birdal;Slobodan Ilic

  • DPOD: 6D Pose Object Detector and Refiner

    Sergey Zakharov;Ivan Shugurov;Slobodan Ilic

  • PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors

    Haowen Deng;Tolga Birdal;Slobodan Ilic

  • Dominant orientation templates for real-time detection of texture-less objects

    Stefan Hinterstoisser;Vincent Lepetit;Slobodan Ilic;Pascal Fua

  • Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation

    Wadim Kehl;Fausto Milletari;Federico Tombari;Federico Tombari;Slobodan Ilic;Slobodan Ilic

  • 3D Pictorial Structures for Multiple Human Pose Estimation

    Vasileios Belagiannis;Sikandar Amin;Mykhaylo Andriluka;Bernt Schiele

  • GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer

    Unknown

  • KillingFusion: Non-rigid 3D Reconstruction without Correspondences

    Miroslava Slavcheva;Maximilian Baust;Daniel Cremers;Slobodan Ilic

  • Surface Deformation Models for Nonrigid 3D Shape Recovery

    M. Salzmann;J. Pilet;S. Ilic;P. Fua

  • Probabilistic deformable surface tracking from multiple videos

    Cedric Cagniart;Edmond Boyer;Slobodan Ilic

  • Technical demonstration on model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

    Stefan Hinterstoisser;Vincent Lepetit;Slobodan Ilic;Stefan Holzer

  • Point Pair Features Based Object Detection and Pose Estimation Revisited

    Tolga Birdal;Slobodan Ilic

  • 3D Pictorial Structures Revisited: Multiple Human Pose Estimation

    Vasileios Belagiannis;Sikandar Amin;Mykhaylo Andriluka;Bernt Schiele

  • 3D Local Features for Direct Pairwise Registration

    Haowen Deng;Tolga Birdal;Slobodan Ilic

  • HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects

    Roman Kaskman;Sergey Zakharov;Ivan Shugurov;Slobodan Ilic

  • Image based fog detection in vehicles

    Mario Pavlic;Heidrun Belzner;Gerhard Rigoll;Slobodan Ilic

Frequent Co-Authors

Nassir Navab
Nassir Navab Technical University of Munich
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Federico Tombari
Federico Tombari Technical University of Munich
Vincent Lepetit
Vincent Lepetit École des Ponts ParisTech
Edmond Boyer
Edmond Boyer Meta for Business
Mathieu Salzmann
Mathieu Salzmann École Polytechnique Fédérale de Lausanne
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Kurt Konolige
Kurt Konolige Google (United States)
Gary Bradski
Gary Bradski Stanford University

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