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Dengxin Dai

D-Index & Metrics

Computer Science

D-Index
49
Citations
13007
World Ranking
5788
National Ranking
120

Dengxin Dai 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 Dengxin Dai 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Dengxin Dai 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 Dengxin Dai 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Dengxin Dai is affiliated with ETH Zurich in Switzerland and has a focus on research within the field of Computer Science, particularly in Computer Vision and Pattern Recognition. Their work spans multiple subfields including Artificial Intelligence, Aerospace Engineering, Automotive Engineering, and Media Technology.

The scientist's research covers several main topics, such as:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods
  • Image Enhancement Techniques

Dengxin Dai has contributed extensively to the academic literature, with significant publications in key venues including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Notable recent papers include:

  • "Multi-Task Learning for Dense Prediction Tasks: A Survey" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Continual Test-Time Domain Adaptation" (2022), also published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Decoupling Zero-Shot Semantic Segmentation" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep Gradient Learning for Efficient Camouflaged Object Detection" (2023), published in Machine Intelligence Research

Frequent co-authors in Dengxin Dai's research include:

  • Luc Van Gool
  • Lukas Hoyer
  • Bernt Schiele
  • Alexander Liniger
  • Christos Sakaridis

Best Publications

  • Domain Adaptive Faster R-CNN for Object Detection in the Wild

    Yuhua Chen;Wen Li;Christos Sakaridis;Dengxin Dai

  • Semantic Foggy Scene Understanding with Synthetic Data

    Christos Sakaridis;Dengxin Dai;Luc Van Gool;Luc Van Gool

  • Multi-Task Learning for Dense Prediction Tasks: A Survey.

    Simon Vandenhende;Stamatios Georgoulis;Wouter Van Gansbeke;Marc Proesmans

  • DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

    Lukas Hoyer;Dengxin Dai;Luc Van Gool

  • Continual Test-Time Domain Adaptation

    Unknown

  • Semantic Foggy Scene Understanding with Synthetic Data

    Christos Sakaridis;Dengxin Dai;Luc Van Gool;Luc Van Gool

  • Fast Optical Flow Using Dense Inverse Search

    Till Kroeger;Radu Timofte;Dengxin Dai;Luc J. Van Gool;Luc J. Van Gool

  • Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation

    Dengxin Dai;Wen Yang

  • MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

    Unknown

  • Decoupling Zero-Shot Semantic Segmentation

    Unknown

  • ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding

    Christos Sakaridis;Dengxin Dai;Luc Van Gool

  • Deep Gradient Learning for Efficient Camouflaged Object Detection

    Unknown

  • Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding

    Christos Sakaridis;Dengxin Dai;Simon Hecker;Luc Van Gool

  • End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners

    Simon Hecker;Dengxin Dai;Luc Van Gool

  • Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime

    Dengxin Dai;Luc Van Gool

  • HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

    Unknown

  • Jointly Optimized Regressors for Image Super-resolution

    D. Dai;R. Timofte;L. Van Gool

  • Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

    Christos Sakaridis;Dengxin Dai;Luc Van Gool

  • LiDAR Snowfall Simulation for Robust 3D Object Detection

    Unknown

  • Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

    Martin Hahner;Christos Sakaridis;Dengxin Dai;Luc Van Gool

  • Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

    Martin Hahner;Christos Sakaridis;Dengxin Dai;Luc Van Gool

  • End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

    Zhejun Zhang;Alexander Liniger;Dengxin Dai;Fisher Yu

  • Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime

    Dengxin Dai;Luc Van Gool

  • Latent Dictionary Learning for Sparse Representation Based Classification

    Meng Yang;Dengxin Dai;Lilin Shen;Luc Van Gool

  • Is image super-resolution helpful for other vision tasks?

    Dengxin Dai;Yujian Wang;Yuhua Chen;Luc Van Gool

  • Domain Generalization and Adaptation Using Low Rank Exemplar SVMs

    Wen Li;Zheng Xu;Dong Xu;Dengxin Dai

  • Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding

    Dengxin Dai;Christos Sakaridis;Simon Hecker;Luc Van Gool;Luc Van Gool

  • Ensemble Projection for Semi-supervised Image Classification

    Dengxin Dai;Luc Van Gool

  • Don’t Forget The Past: Recurrent Depth Estimation from Monocular Video

    Vaishakh Patil;Wouter Van Gansbeke;Dengxin Dai;Luc Van Gool

  • Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

    Christos Sakaridis;Dengxin Dai;Luc Van Gool

  • Polarimetric SAR image classification using multifeatures combination and extremely randomized clustering forests

    Tongyuan Zou;Wen Yang;Dengxin Dai;Hong Sun

Frequent Co-Authors

Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Wen Yang
Wen Yang Beijing Institute of Technology
Gui-Song Xia
Gui-Song Xia Wuhan University
Wen Li
Wen Li University of Electronic Science and Technology of China
Radu Timofte
Radu Timofte University of Wurzburg
Bill Triggs
Bill Triggs Laboratoire Jean Kuntzmann
Jianbing Shen
Jianbing Shen University of Macau
Fisher Yu
Fisher Yu ETH Zurich
Liangpei Zhang
Liangpei Zhang Wuhan University
Tianfei Zhou
Tianfei Zhou Beijing Institute of Technology

External Links

Personal website of Dengxin Dai

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Best Scientists Citing Dengxin Dai

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Publications: 46

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Publications: 26

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Publications: 20

Shijian Lu

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Publications: 15

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Publications: 15

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Publications: 14

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