Matthew J. Rosato

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew J. Rosato trusts

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

  1. Maja Pantic (in Computer Vision and Pattern Recognition)
  2. Léon J. M. Rothkrantz (in Computer Vision and Pattern Recognition)

Who trusts Matthew J. Rosato

  1. ByoungChul Ko (in Computer Vision and Pattern Recognition)
  2. Stefanie Wuhrer (in Computer Vision and Pattern Recognition)
  3. Timo Bolkart (in Computer Vision and Pattern Recognition)
  4. Lijun Yin (in Computer Vision and Pattern Recognition)
  5. Alan Brunton (in Computer Vision and Pattern Recognition)
  6. Stefanos P. Zafeiriou (in Computer Vision and Pattern Recognition)
  7. Jeffrey F. Cohn (in Computer Vision and Pattern Recognition)

Papers from Matthew J. Rosato's perspective

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

  1. Automatic Analysis of Facial Expressions: The State of the Art (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  2. Recognizing Action Units for Facial Expression Analysis (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Face recognition: A literature survey (CSUR)
  4. Facial action recognition for facial expression analysis from static face images (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  5. Active and dynamic information fusion for facial expression understanding from image sequences (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. Toward an affect-sensitive multimodal human-computer interaction (Proceedings of the IEEE)
  7. Facial expression recognition from video sequences: temporal and static modeling (Computer Vision and Image Understanding)
  8. Emotion recognition in human-computer interaction (Neural Networks)
  9. Overview of the face recognition grand challenge (Computer Vision and Pattern Recognition)
  10. Authentic facial expression analysis (Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.)

Their papers