World's Best Scientists 2026 revealed!
Christoph Feichtenhofer

Christoph Feichtenhofer

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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
43
Citations
26818
World Ranking
508
National Ranking
78

Computer Science

D-Index
41
Citations
26124
World Ranking
8556
National Ranking
3656

Christoph Feichtenhofer 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 Christoph Feichtenhofer 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Christoph Feichtenhofer 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 Christoph Feichtenhofer 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: 41 D-Index — 40th percentile

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

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Christoph Feichtenhofer is affiliated with Meta Platforms, Inc. in the United States. Their research primarily focuses on computer science, with a specialization in the subfields of computer vision and pattern recognition, artificial intelligence, signal processing, electrical and electronic engineering, and radiology, nuclear medicine, and imaging.

Their work spans several main topics including:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications

Feichtenhofer has contributed extensively to academic publications, with a significant number appearing in venues such as arXiv (Cornell University), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV). Their frequent publication venues also include the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Some recent papers authored or co-authored by Feichtenhofer include:

  • A ConvNet for the 2020s, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • TrackFormer: Multi-Object Tracking with Transformers, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • MViTv2: Improved Multiscale Vision Transformers for Classification and Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Masked Feature Prediction for Self-Supervised Visual Pre-Training, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Ego4D: Around the World in 3,000 Hours of Egocentric Video, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators with whom Feichtenhofer has co-authored multiple works include Haoqi Fan, Jitendra Malik, Chao-Yuan Wu, Yanghao Li, and Karttikeya Mangalam.

Best Publications

  • A ConvNet for the 2020s

    Unknown

  • SlowFast Networks for Video Recognition

    Christoph Feichtenhofer;Haoqi Fan;Jitendra Malik;Kaiming He

  • Convolutional Two-Stream Network Fusion for Video Action Recognition

    Christoph Feichtenhofer;Axel Pinz;Andrew Zisserman

  • Spatiotemporal Multiplier Networks for Video Action Recognition

    Christoph Feichtenhofer;Axel Pinz;Richard P. Wildes

  • 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training

    Dario Pavllo;Christoph Feichtenhofer;David Grangier;Michael Auli

  • MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

    Unknown

  • Masked Feature Prediction for Self-Supervised Visual Pre-Training

    Unknown

  • TrackFormer: Multi-Object Tracking with Transformers.

    Tim Meinhardt;Alexander Kirillov;Laura Leal-Taixé;Christoph Feichtenhofer

  • X3D: Expanding Architectures for Efficient Video Recognition

    Christoph Feichtenhofer

  • Spatiotemporal Residual Networks for Video Action Recognition

    Christoph Feichtenhofer;Axel Pinz;Richard P. Wildes

  • Detect to Track and Track to Detect

    Christoph Feichtenhofer;Axel Pinz;Andrew Zisserman

  • Masked Autoencoders As Spatiotemporal Learners

    Unknown

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • Long-Term Feature Banks for Detailed Video Understanding

    Chao-Yuan Wu;Christoph Feichtenhofer;Haoqi Fan;Kaiming He

  • Convolutional Two-Stream Network Fusion for Video Action Recognition

    Christoph Feichtenhofer;Axel Pinz;Andrew Zisserman

  • VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

    Hu Xu;Gargi Ghosh;Po-Yao Huang;Dmytro Okhonko

  • VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

    Hu Xu;Gargi Ghosh;Po-Yao Huang;Dmytro Okhonko

  • Scaling Language-Image Pre-Training via Masking

    Unknown

  • Modeling Human Motion with Quaternion-Based Neural Networks

    Dario Pavllo;Christoph Feichtenhofer;Michael Auli;David Grangier

  • MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition

    Unknown

  • Masked Autoencoders that Listen

    Unknown

  • A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

    Christoph Feichtenhofer;Haoqi Fan;Bo Xiong;Ross Girshick

  • Spatiotemporal Residual Networks for Video Action Recognition

    Christoph Feichtenhofer;Axel Pinz;Richard P. Wildes

  • Audiovisual SlowFast Networks for Video Recognition

    Fanyi Xiao;Yong Jae Lee;Kristen Grauman;Jitendra Malik

  • A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis

    C. Feichtenhofer;H. Fassold;P. Schallauer

  • Grounded Human-Object Interaction Hotspots From Video

    Tushar Nagarajan;Christoph Feichtenhofer;Kristen Grauman

  • Temporal Residual Networks for Dynamic Scene Recognition

    Christoph Feichtenhofer;Axel Pinz;Richard P. Wildes

  • VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

    Hu Xu;Gargi Ghosh;Po-Yao Huang;Prahal Arora

  • Ego-Topo: Environment Affordances From Egocentric Video

    Tushar Nagarajan;Yanghao Li;Christoph Feichtenhofer;Kristen Grauman

  • Multiscale Vision Transformers

    Haoqi Fan;Bo Xiong;Karttikeya Mangalam;Yanghao Li

Frequent Co-Authors

Axel Pinz
Axel Pinz Graz University of Technology
Richard P. Wildes
Richard P. Wildes York University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Kristen Grauman
Kristen Grauman The University of Texas at Austin
Kaiming He
Kaiming He Facebook (United States)
Ross Girshick
Ross Girshick Facebook (United States)
Andrew Zisserman
Andrew Zisserman University of Oxford
Florian Metze
Florian Metze Carnegie Mellon University
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)

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