World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
9003
World Ranking
11458
National Ranking
4706

Abhinav Shrivastava 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 Abhinav Shrivastava 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Abhinav Shrivastava 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 Abhinav Shrivastava 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Abhinav Shrivastava is a researcher affiliated with the University of Maryland, College Park in the United States. Their work primarily spans the field of Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Computational Mechanics.

Their published research covers a wide range of topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques

Abhinav Shrivastava has contributed extensively to scholarly publications, with frequent appearances in various renowned venues. Notable publication venues include:

  • 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
  • Lecture Notes in Computer Science

Some of their recent papers are:

  • "ObjectFormer for Image Manipulation Detection and Localization", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Generate, Segment, and Refine: Towards Generic Manipulation Segmentation", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Rethinking Pseudo Labels for Semi-supervised Object Detection", 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In addition to journal and conference papers, Shrivastava has also contributed to book publications, including a title published by Springer Nature titled "Intelligent Systems" in 2021.

The researcher frequently collaborates with various scholars. Prominent coauthors include:

  • Ser-Nam Lim
  • Larry S. Davis
  • Saksham Suri
  • Matthew Gwilliam
  • Sai Saketh Rambhatla

Best Publications

  • Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

    Chen Sun;Abhinav Shrivastava;Saurabh Singh;Abhinav Gupta

  • Training Region-Based Object Detectors with Online Hard Example Mining

    Abhinav Shrivastava;Abhinav Gupta;Ross Girshick

  • Cross-Stitch Networks for Multi-task Learning

    Ishan Misra;Abhinav Shrivastava;Abhinav Gupta;Martial Hebert

  • A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

    Xiaolong Wang;Abhinav Shrivastava;Abhinav Gupta

  • NEIL: Extracting Visual Knowledge from Web Data

    Xinlei Chen;Abhinav Shrivastava;Abhinav Gupta

  • Beyond Skip Connections: Top-Down Modulation for Object Detection

    Abhinav Shrivastava;Rahul Sukthankar;Jitendra Malik;Abhinav Gupta

  • Tracking Emerges by Colorizing Videos

    Carl Martin Vondrick;Abhinav Shrivastava;Alireza Fathi;Sergio Guadarrama

  • Training Region-based Object Detectors with Online Hard Example Mining

    Abhinav Shrivastava;Abhinav Gupta;Ross Girshick

  • Data-driven visual similarity for cross-domain image matching

    Abhinav Shrivastava;Tomasz Malisiewicz;Abhinav Gupta;Alexei A. Efros

  • Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

    Chen Sun;Abhinav Shrivastava;Saurabh Singh;Abhinav Gupta

  • Actor-Centric Relation Network

    Chen Sun;Abhinav Shrivastava;Carl Martin Vondrick;Kevin Murphy

  • Contextual Priming and Feedback for Faster R-CNN

    Abhinav Shrivastava;Abhinav Gupta

  • ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

    Unknown

  • Cross-stitch Networks for Multi-task Learning

    Ishan Misra;Abhinav Shrivastava;Abhinav Gupta;Martial Hebert

  • Enriching Visual Knowledge Bases via Object Discovery and Segmentation

    Xinlei Chen;Abhinav Shrivastava;Abhinav Gupta

  • Watch and learn: Semi-supervised learning of object detectors from videos

    Ishan Misra;Abhinav Shrivastava;Martial Hebert

  • Generate, Segment, and Refine: Towards Generic Manipulation Segmentation

    Peng Zhou;Bor-Chun Chen;Xintong Han;Mahyar Najibi

  • Constrained semi-supervised learning using attributes and comparative attributes

    Abhinav Shrivastava;Saurabh Singh;Abhinav Gupta

  • Detecting Human-Object Interactions via Functional Generalization

    Ankan Bansal;Sai Saketh Rambhatla;Abhinav Shrivastava;Rama Chellappa

  • Curriculum Manager for Source Selection in Multi-source Domain Adaptation

    Luyu Yang;Yogesh Balaji;Ser-Nam Lim;Abhinav Shrivastava

  • Relational Action Forecasting

    Chen Sun;Abhinav Shrivastava;Carl Vondrick;Rahul Sukthankar

  • LayoutTransformer: Layout generation and completion with self-attention

    Kamal Gupta;Justin Lazarow;Alessandro Achille;Larry S. Davis

  • Disentangling Visual Embeddings for Attributes and Objects

    Unknown

  • HNeRV: A Hybrid Neural Representation for Videos

    Unknown

  • Quantization Guided JPEG Artifact Correction

    Max Ehrlich;Larry Davis;Ser-Nam Lim;Abhinav Shrivastava

  • Learning to Predict Visual Attributes in the Wild

    Khoi Pham;Kushal Kafle;Zhe Lin;Zhihong Ding

Frequent Co-Authors

Larry S. Davis
Larry S. Davis University of Maryland, College Park
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Carl Vondrick
Carl Vondrick Columbia University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park
Chen Sun
Chen Sun Google (United States)
Ishan Misra
Ishan Misra Facebook (United States)
Martial Hebert
Martial Hebert Carnegie Mellon University
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Zuxuan Wu
Zuxuan Wu Fudan University

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