Nikos Komodakis

Active 2004–2026

128
Papers
24,884
Citations
47
h-index
82
i10-index

Citations

Citations per year for Nikos Komodakis1965: 1 citations1978: 2 citations1979: 2 citations1984: 1 citations1988: 1 citations1989: 1 citations1991: 1 citations1997: 1 citations1998: 1 citations1999: 2 citations2001: 1 citations2003: 1 citations2004: 5 citations2005: 4 citations2006: 5 citations2007: 41 citations2008: 104 citations2009: 121 citations2010: 208 citations2011: 233 citations2012: 222 citations2013: 289 citations2014: 338 citations2015: 340 citations2016: 535 citations2017: 710 citations2018: 966 citations2019: 1,338 citations2020: 2,057 citations2021: 2,269 citations2022: 1,781 citations2023: 1,621 citations2024: 1,259 citations2025: 859 citations2026: 233 citations1966–1977: no citations, so these years are not shown1980–1983: no citations, so these years are not shown1985–1987: no citations, so these years are not shown1990: no citations, so this year is not shown1992–1996: no citations, so these years are not shown2000: no citations, so this year is not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,867 citing papers, 28.8% of this breakdownUnited States: 3,005 citing papers, 17.8% of this breakdownUnited Kingdom: 1,016 citing papers, 6% of this breakdownGermany: 765 citing papers, 4.5% of this breakdownFrance: 735 citing papers, 4.4% of this breakdownSouth Korea: 574 citing papers, 3.4% of this breakdownAustralia: 513 citing papers, 3% of this breakdownCanada: 502 citing papers, 3% of this breakdownHong Kong: 449 citing papers, 2.7% of this breakdownIndia: 397 citing papers, 2.3% of this breakdownJapan: 368 citing papers, 2.2% of this breakdownSingapore: 349 citing papers, 2.1% of this breakdown
0%28.8%Other 19.8%

Fields

  • Computer Science74.3%
  • Engineering14.6%
  • Medicine3.7%
  • Environmental Science1.2%
  • Biochemistry, Genetics and Molecular Biology1%
  • Neuroscience1%
  • Other4.2%

Topics

  • Advanced Neural Network Applications8.7%
  • Domain Adaptation and Few-Shot Learning7.8%
  • Advanced Image and Video Retrieval Techniques5.4%
  • Multimodal Machine Learning Applications3.2%
  • Adversarial Robustness in Machine Learning2.8%
  • Advanced Vision and Imaging2.6%
  • Other69.5%

Coauthors

All papers

Open in search
  1. Wide Residual Networks

    Authors: , - Procedings of the British Machine Vision Conference 2016, BMVC 2016 cited by 5,985

  2. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

    Authors: , - ICLR (Poster) 2017 cited by 3,152

  3. Unsupervised Representation Learning by Predicting Image Rotations

    Authors: , , - ICLR (Poster) 2018 cited by 3,612

  4. Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

    Authors: , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 1,306

  5. Dynamic Few-Shot Visual Learning Without Forgetting

    Authors: , - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 cited by 1,146

  6. Learning to Compare Image Patches via Convolutional Neural Networks

    Authors: , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 cited by 1,432

  7. Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model

    Authors: , - IEEE International Conference on Computer Vision (ICCV) 2015 cited by 809

  8. EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

    Authors: , , , - ICML 2025 cited by 87

  9. Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks

    Authors: , - IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018 cited by 197

  10. Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems

    Authors: , - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2015 cited by 421

  11. Rotation Equivariant Vector Field Networks

    Authors: , , , - IEEE International Conference on Computer Vision (ICCV) 2017 cited by 232

  12. Deep Tone Mapping Operator for High Dynamic Range Images

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2019 cited by 135

  13. SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2018 cited by 123

  14. A Robust and Efficient Approach to License Plate Detection

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2016 cited by 245

  15. DiracNets: Training Very Deep Neural Networks Without Skip-Connections

    Authors: , - arXiv (Cornell University), CoRR 2017 cited by 91

  16. GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

    Authors: , - Lecture notes in computer science, ICANN (1) 2018 cited by 136

  17. Boosting Generative Image Modeling via Joint Image-Feature Synthesis

    Authors: , , , , - NeurIPS 2025 cited by 21

  18. DINO-Foresight: Looking into the Future with DINO

    Authors: , , , - NeurIPS 2025 cited by 40

  19. A Deep Metric for Multimodal Registration

    Authors: , , , , - Lecture notes in computer science, MICCAI (3) 2016 cited by 185

  20. Scattering Networks for Hybrid Representation Learning

    Authors: , , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2018 cited by 81

  21. Building detection in very high resolution multispectral data with deep learning features

    Authors: , , , - IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015 cited by 297

  22. Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey

    Authors: , , - Computer Vision and Image Understanding, Comput. Vis. Image Underst. 2013 cited by 197

  23. MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing

    Authors: , , - Remote Sensing, Remote. Sens. 2021 cited by 30

  24. Dense image registration through MRFs and efficient linear programming

    Authors: , , , , - Medical Image Analysis, Medical Image Anal. 2008 cited by 431