World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
13884
World Ranking
3620
National Ranking
1738

Manmohan Chandraker 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 Manmohan Chandraker 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Manmohan Chandraker 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 Manmohan Chandraker 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Manmohan Chandraker is affiliated with the University of California, San Diego in the United States. Their research primarily spans the areas of computer science and engineering, with a significant focus on computer vision and pattern recognition, artificial intelligence, and computer graphics and computer-aided design.

Their recent published papers include the following:

  • Modulated Periodic Activations for Generalizable Local Functional Representations, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Learning Cross-Modal Contrastive Features for Video Domain Adaptation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Adversarial Learning of Privacy-Preserving and Task-Oriented Representations, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Real-Time Radiance Fields for Single-Image Portrait View Synthesis, 2023, ACM Transactions on Graphics

The scientist collaborates frequently with a number of coauthors, including:

  • Samuel Schulter (21 collaborations)
  • Tarun Kalluri (14 collaborations)
  • Ravi Ramamoorthi (13 collaborations)
  • Yumin Suh (13 collaborations)
  • Yi-Hsuan Tsai (12 collaborations)

Manmohan Chandraker has been published regularly in several venues. The most frequent publication venues are:

  • arXiv (Cornell University), 67 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6 publications
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 3 publications
  • Lecture Notes in Computer Science, 3 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2 publications

Their research covers a wide range of topics, including:

  • Advanced Vision and Imaging
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Computer Graphics and Visualization Techniques
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques

These topics correspond closely with their main and subfields of study, which include:

  • Computer Science
  • Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Aerospace Engineering

Best Publications

  • Learning to Adapt Structured Output Space for Semantic Segmentation

    Yi-Hsuan Tsai;Wei-Chih Hung;Samuel Schulter;Kihyuk Sohn

  • DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

    Namhoon Lee;Wongun Choi;Paul Vernaza;Christopher B. Choy

  • Person Re-identification in the Wild

    Liang Zheng;Hengheng Zhang;Shaoyan Sun;Manmohan Chandraker

  • Learning efficient object detection models with knowledge distillation

    Guobin Chen;Wongun Choi;Xiang Yu;Tony Han

  • Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation

    Paul Vernaza;Manmohan Chandraker

  • Towards Large-Pose Face Frontalization in the Wild

    Xi Yin;Xiang Yu;Kihyuk Sohn;Xiaoming Liu

  • Domain Adaptation for Structured Output via Discriminative Patch Representations

    Yi-Hsuan Tsai;Kihyuk Sohn;Samuel Schulter;Manmohan Chandraker

  • Feature Transfer Learning for Face Recognition With Under-Represented Data

    Xi Yin;Xiang Yu;Kihyuk Sohn;Xiaoming Liu

  • IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

    Girish Varma;Anbumani Subramanian;Anoop Namboodiri;Manmohan Chandraker

  • Learning to reconstruct shape and spatially-varying reflectance from a single image

    Zhengqin Li;Zexiang Xu;Ravi Ramamoorthi;Kalyan Sunkavalli

  • Universal correspondence network

    Manmohan Chandraker;Silvio Savarese;Christopher Bongsoo Choy

  • Universal Correspondence Network

    Christopher B. Choy;JunYoung Gwak;Silvio Savarese;Manmohan Chandraker

  • Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image

    Zhengqin Li;Mohammad Shafiei;Ravi Ramamoorthi;Kalyan Sunkavalli

  • Deep Network Flow for Multi-object Tracking

    Samuel Schulter;Paul Vernaza;Wongun Choi;Manmohan Chandraker

  • A 4D Light-Field Dataset and CNN Architectures for Material Recognition

    Ting-Chun Wang;Jun-Yan Zhu;Ebi Hiroaki;Manmohan Chandraker

  • WarpNet: Weakly Supervised Matching for Single-View Reconstruction

    Angjoo Kanazawa;David W. Jacobs;Manmohan Chandraker

  • Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving

    Shiyu Song;Manmohan Chandraker

  • Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition

    Xi Peng;Xiang Yu;Kihyuk Sohn;Dimitris N. Metaxas

  • Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

    Zhengqin Li;Kalyan Sunkavalli;Manmohan Chandraker

  • Towards Universal Representation Learning for Deep Face Recognition

    Yichun Shi;Xiang Yu;Kihyuk Sohn;Manmohan Chandraker

  • ShadowCuts: Photometric Stereo with Shadows

    M. Chandraker;S. Agarwal;D. Kriegman

  • Practical Global Optimization for Multiview Geometry

    Fredrik Kahl;Sameer Agarwal;Manmohan Krishna Chandraker;David Kriegman

Frequent Co-Authors

Kihyuk Sohn
Kihyuk Sohn Google (United States)
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
David J. Kriegman
David J. Kriegman University of California, San Diego
Xiaoming Liu
Xiaoming Liu University of North Carolina at Chapel Hill
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Silvio Savarese
Silvio Savarese Stanford University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Gregory D. Hager
Gregory D. Hager Johns Hopkins University
Sameer Agarwal
Sameer Agarwal Google (United States)
C. V. Jawahar
C. V. Jawahar International Institute of Information Technology, Hyderabad

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