Standout Papers

Hierarchical models of object recognition in cortex... 1979 2026 1994 2010 1.9k
  1. Hierarchical models of object recognition in cortex (1999)
    Maximilian Riesenhuber, Tomaso Poggio Nature Neuroscience
  2. Networks for approximation and learning (1990)
    Tomaso Poggio, Federico Girosi Proceedings of the IEEE
  3. Multiclass cancer diagnosis using tumor gene expression signatures (2001)
    Sridhar Ramaswamy, Pablo Tamayo et al. Proceedings of the National Academy of Sciences
  4. A computational theory of human stereo vision (1979)
    David Marr, Tomaso Poggio Proceedings of the Royal Society of London. Series B, Biological sciences
  5. Face recognition: features versus templates (1993)
    Roberto Brunelli, Tomaso Poggio IEEE Transactions on Pattern Analysis and Machine Intelligence
  6. Robust Object Recognition with Cortex-Like Mechanisms (2007)
    T. Serre, Lior Wolf et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  7. Comparing support vector machines with Gaussian kernels to radial basis function classifiers (1997)
    Bernhard Schölkopf, Chris Burges et al. IEEE Transactions on Signal Processing
  8. Cooperative Computation of Stereo Disparity (1976)
    David Marr, Tomaso Poggio Science
  9. Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex (2001)
    David J. Freedman, Maximilian Riesenhuber et al. Science
  10. Computational vision and regularization theory (1985)
    Tomaso Poggio, Vincent Torre et al. Nature
  11. Regularization Networks and Support Vector Machines (2000)
    Theodoros Evgeniou, Massimiliano Pontil et al. Advances in Computational Mathematics
  12. Regularization Theory and Neural Networks Architectures (1995)
    Federico Girosi, Michael Jones et al. Neural Computation
  13. Example-based learning for view-based human face detection (1998)
    Kah Kay Sung, Tomaso Poggio IEEE Transactions on Pattern Analysis and Machine Intelligence
  14. Shape representation in the inferior temporal cortex of monkeys (1995)
    Nikos K. Logothetis, J Pauls et al. Current Biology
  15. Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks (1990)
    Tomaso Poggio, Federico Girosi Science
  16. Neural mechanisms for the recognition of biological movements (2003)
    Martin A. Giese, Tomaso Poggio Nature reviews. Neuroscience
  17. A feedforward architecture accounts for rapid categorization (2007)
    T. Serre, Aude Oliva et al. Proceedings of the National Academy of Sciences
  18. Fast Readout of Object Identity from Macaque Inferior Temporal Cortex (2005)
    Chou P. Hung, Gabriel Kreiman et al. Science
  19. On Edge Detection (1986)
    Vincent Torre, Tomaso Poggio IEEE Transactions on Pattern Analysis and Machine Intelligence
  20. A network that learns to recognize three-dimensional objects (1990)
    Tomaso Poggio, Shimon Edelman Nature
  21. Feature Selection for SVMs (2000)
    Jason Weston, Sayan Mukherjee et al. UCL Discovery (University College London)
  22. Incremental and Decremental Support Vector Machine Learning (2000)
    Gert Cauwenberghs, Tomaso Poggio Neural Information Processing Systems
  23. A Trainable System for Object Detection (2000)
    C. Papageorgiou, Tomaso Poggio International Journal of Computer Vision
  24. Networks and the best approximation property (1990)
    Federico Girosi, Tomaso Poggio Biological Cybernetics
  25. Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review (2017)
    Tomaso Poggio, H. N. Mhaskar et al. International Journal of Automation and Computing

Immediate Impact

15 by Nobel laureates 48 from Science/Nature 102 standout
Sub-graph 1 of 21

Citing Papers

The connectome of an insect brain
2023 StandoutScience
Deep-learning seismology
2022 StandoutScience
19 intermediate papers

Works of Tomaso Poggio being referenced

Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows
2021
Object-Oriented Deep Learning
2017
and 10 more

Author Peers

Author Last Decade Papers Cites
Tomaso Poggio 12469 13961 7202 353 35.8k
Klaus‐Robert Müller 4846 12112 8985 343 35.7k
Stephen Grossberg 3748 18260 9622 391 30.6k
U. Rajendra Acharya 6390 20134 9810 939 54.3k
Bernhard Schölkopf 16219 4216 22843 426 61.4k
Eero P. Simoncelli 26209 10059 2992 148 44.2k
Demis Hassabis 5130 8495 15461 75 41.8k
Michael I. Jordan 11210 7774 29405 412 63.9k
Hojjat Adeli 2667 9346 5021 432 34.1k
David E. Rumelhart 3724 10727 14391 63 41.7k
Chih‐Jen Lin 9876 3005 11281 102 34.5k

All Works

Loading papers...

Rankless by CCL
2026