S-Seer: Guiding Perceptual Sensing and Analysis with Value of Information

Nuria Oliver, Eric Horvitz (2005). Selective Perception Policies for Guiding Sensing and Computation in Multimodal Systems: A Comparative Analysis. Computer Vision and Image Understanding 100(1-2), 198-224. https://doi.org/10.1016/j.cviu.2004.12.004

@article{oliver2005selective,
  author = {Nuria Oliver and Eric Horvitz},
  title = {Selective Perception Policies for Guiding Sensing and Computation in Multimodal Systems: A Comparative Analysis},
  journal = {Computer Vision and Image Understanding},
  volume = 100,
  number = {1-2},
  pages = {198--224},
  year = 2005,
  doi = {10.1016/j.cviu.2004.12.004},
  cites = 41,
  citesdate = {2026-03-23}
}

Nuria Oliver, Eric Horvitz (2005). S-seer: Selective Perception in a Multimodal Office Activity Recognition System. International Workshop on Machine Learning for Multimodal Interaction (MLMI 2004), 122-135. https://doi.org/10.1007/978-3-540-30568-2_11

@inproceedings{oliver2005sseer,
  author = {Nuria Oliver and Eric Horvitz},
  title = {{S-seer}: Selective Perception in a Multimodal Office Activity Recognition System},
  booktitle = {International Workshop on Machine Learning for Multimodal Interaction (MLMI 2004)},
  publisher = {Springer},
  pages = {122--135},
  year = 2005,
  doi = {10.1007/978-3-540-30568-2_11},
  cites = 24,
  citesdate = {2026-03-23}
}

Andrew Wilson, Nuria Oliver (2005). Multimodal Sensing for Explicit and Implicit Interaction. 11th International Conference on Human-Computer Interaction (HCI International 2005). https://www.microsoft.com/en-us/research/publication/multimodal-sensing-explicit-implicit-interaction/

@inproceedings{wilson2005multimodal,
  author = {Andrew Wilson and Nuria Oliver},
  title = {Multimodal Sensing for Explicit and Implicit Interaction},
  booktitle = {11th International Conference on Human-Computer Interaction (HCI International 2005)},
  address = {Las Vegas, Nevada, USA},
  year = 2005,
  url = {https://www.microsoft.com/en-us/research/publication/multimodal-sensing-explicit-implicit-interaction/},
  cites = 31
}

Nuria Oliver, Ashutosh Garg, Eric Horvitz (2004). Layered Representations for Learning and Inferring Office Activity from Multiple Sensory Channels. Computer Vision and Image Understanding 96(2), 163-180. https://doi.org/10.1016/j.cviu.2004.02.004

@article{oliver2004layered,
  author = {Nuria Oliver and Ashutosh Garg and Eric Horvitz},
  title = {Layered Representations for Learning and Inferring Office Activity from Multiple Sensory Channels},
  journal = {Computer Vision and Image Understanding},
  volume = 96,
  number = 2,
  pages = {163--180},
  year = 2004,
  doi = {10.1016/j.cviu.2004.02.004},
  cites = 482,
  citesdate = {2026-03-23}
}

Nuria Oliver, Eric Horvitz, Ashutosh Garg (2002). Layered Representations for Human Activity Recognition. Proceedings. Fourth IEEE International Conference on Multimodal Interfaces, 3-8. https://doi.org/10.1109/ICMI.2002.1166960

@inproceedings{oliver2002layered,
  author = {Nuria Oliver and Eric Horvitz and Ashutosh Garg},
  title = {Layered Representations for Human Activity Recognition},
  booktitle = {Proceedings. Fourth IEEE International Conference on Multimodal Interfaces},
  pages = {3--8},
  year = 2002,
  doi = {10.1109/ICMI.2002.1166960},
  award = {ACM ICMI Ten Year Technical Impact Award},
  awardyear = {2002/2014},
  cites = 472,
  citesdate = {2026-03-23}
}

Nuria Oliver, Eric Horvitz, Ashutosh Garg (2002). Hierarchical Representations for Learning and Inferring Office Activity from Multiple Sensory Channels. Microsoft Research. https://www.microsoft.com/en-us/research/publication/hierarchical-representations-for-learning-and-inferring-office-activity-from-multiple-sensory-channels/

@techreport{oliver2002hierarchical,
  author = {Oliver, Nuria and Horvitz, Eric and Garg, Ashutosh},
  title = {Hierarchical Representations for Learning and Inferring Office Activity from Multiple Sensory Channels},
  institution = {Microsoft Research},
  year = 2002,
  url = {https://www.microsoft.com/en-us/research/publication/hierarchical-representations-for-learning-and-inferring-office-activity-from-multiple-sensory-channels/}
}