Jeremy Freeman

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy Freeman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kunihiko Fukushima
  2. Javier Portilla
  3. Leslie G. Ungerleider
  4. Davide Zoccolan
  5. Eero P. Simoncelli
  6. Denis G. Pelli
  7. James V. Haxby
  8. Dennis M. Levi
  9. Peter Kovesi
  10. Tomaso A. Poggio

Who trusts Jeremy Freeman overall

  1. Daniel L. K. Yamins
  2. Charles F. Cadieu
  3. Ha Hong
  4. Anish Mittal
  5. Holly E. Gerhard
  6. Leon A. Gatys
  7. Matthias Bethge
  8. Felix Wichmann
  9. Yann LeCun
  10. James J. DiCarlo

Papers from Jeremy Freeman's perspective

Ordered by how strongly the researchers Jeremy Freeman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  2. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
  3. 'What' and 'where' in the human brain.
  4. Do We Know What the Early Visual System Does?
  5. The uncrowded window of object recognition (Nature Neuroscience)
  6. Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex
  7. Phase congruency: A low-level image invariant (Psychological Research)
  8. Compulsory averaging of crowded orientation signals in human vision (Nature Neuroscience)
  9. Crowding is unlike ordinary masking: distinguishing feature integration from detection.
  10. Crowding--an essential bottleneck for object recognition: a mini-review. (Vision Research)

Their papers