World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
15500
World Ranking
3220
National Ranking
1563

Alexander G. Schwing 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 Alexander G. Schwing 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: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Alexander G. Schwing 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 Alexander G. Schwing 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Alexander G. Schwing is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily falls under the broad domain of Computer Science, with detailed work in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing, and Computer Graphics and Computer-Aided Design.

Their recent scholarly output includes papers published mainly in arXiv (Cornell University) and prominent computer vision conferences. Notable recent publications include:

  • Per-Pixel Classification is Not All You Need for Semantic Segmentation, 2021, arXiv (Cornell University)
  • Masked-attention Mask Transformer for Universal Image Segmentation, 2021, arXiv (Cornell University)
  • Mask2Former for Video Instance Segmentation, 2021, arXiv (Cornell University)
  • Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies, 2020, arXiv (Cornell University)
  • Polarization-based underwater geolocalization with deep learning, 2023, eLight

The scholar frequently collaborates with a core group of co-authors, which includes Zhongzheng Ren, Raymond A. Yeh, Unnat Jain, Yuan-Ting Hu, and Svetlana Lazebnik. This network of collaborators has contributed substantially to their collective research outputs.

Regarding publication venues, their work has appeared predominantly in:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)

The primary research interests cover a diverse range of topics within the field of machine learning and computer vision, such as:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Reinforcement Learning in Robotics

Alexander G. Schwing's contributions also extend to book publications with a notable title released through Springer Science+Business Media in 2021, entitled "Pattern Recognition."

Best Publications

  • Semantic Image Inpainting with Deep Generative Models

    Raymond A. Yeh;Chen Chen;Teck Yian Lim;Alexander G. Schwing;Alexander G. Schwing

  • Efficient Deep Learning for Stereo Matching

    Wenjie Luo;Alexander G. Schwing;Raquel Urtasun

  • Per-Pixel Classification is Not All You Need for Semantic Segmentation

    Bowen Cheng;Alexander G. Schwing;Alexander Kirillov

  • Real-time 3D imaging of Haines jumps in porous media flow

    Steffen Berg;Holger Ott;Stephan A. Klapp;Alex Schwing

  • Convolutional Image Captioning

    Jyoti Aneja;Aditya Deshpande;Alexander G. Schwing;Alexander G. Schwing

  • Fully Connected Deep Structured Networks

    Alexander G. Schwing;Raquel Urtasun

  • Videomatch: Matching based video object segmentation

    Yuan Ting Hu;Jia Bin Huang;Alexander G. Schwing

  • Learning deep structured models

    Liang Chieh Chen;Alexander Gerhard Schwing;Alan L. Yuille;Raquel Urtasun

  • SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

    Unknown

  • Calorimetry with deep learning: particle simulation and reconstruction for collider physics

    Dawit Belayneh;Federico Carminati;Amir Farbin;Benjamin Hooberman

  • Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection

    Zhongzheng Ren;Zhiding Yu;Xiaodong Yang;Ming-Yu Liu

  • Learning to segment under various forms of weak supervision

    Jia Xu;Alexander G. Schwing;Raquel Urtasun

  • Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

    Mang Tik Chiu;Xingqian Xu;Yunchao Wei;Zilong Huang

  • Dynamic Bayesian Networks for Student Modeling

    Tanja Kaser;Severin Klingler;Alexander G. Schwing;Markus Gross

  • Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering

    Medhini Narasimhan;Svetlana Lazebnik;Alexander G. Schwing;Alexander G. Schwing

  • Generative Modeling Using the Sliced Wasserstein Distance

    Ishan Deshpande;Ziyu Zhang;Alexander Schwing

  • Monocular Object Instance Segmentation and Depth Ordering with CNNs

    Ziyu Zhang;Alexander G. Schwing;Sanja Fidler;Raquel Urtasun

  • Diverse and accurate image description using a variational auto-encoder with an additive Gaussian encoding space

    Liwei Wang;Alexander G. Schwing;Alexander G. Schwing;Svetlana Lazebnik

  • Creativity: Generating Diverse Questions Using Variational Autoencoders

    Unnat Jain;Ziyu Zhang;Alexander Schwing

  • MaskRNN: Instance Level Video Object Segmentation

    Yuan Ting Hu;Jia Bin Huang;Alexander Gerhard Schwing

  • Box in the Box: Joint 3D Layout and Object Reasoning from Single Images

    Alexander G. Schwing;Sanja Fidler;Marc Pollefeys;Raquel Urtasun

  • Efficient structured prediction for 3D indoor scene understanding

    Alexander G. Schwing;Tamir Hazan;Marc Pollefeys;Raquel Urtasun

Frequent Co-Authors

Raquel Urtasun
Raquel Urtasun University of Toronto
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Marc Pollefeys
Marc Pollefeys ETH Zurich
Jian Peng
Jian Peng University of Illinois at Urbana-Champaign
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Ali Farhadi
Ali Farhadi University of Washington
Richard S. Zemel
Richard S. Zemel University of Toronto
Steffen Berg
Steffen Berg Shell (Netherlands)

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