The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video

Autor: Greene, Michelle R., Balas, Benjamin J., Lescroart, Mark D., MacNeilage, Paul R., Hart, Jennifer A., Binaee, Kamran, Hausamann, Peter A., Mezile, Ronald, Shankar, Bharath, Sinnott, Christian B., Capurro, Kaylie, Halow, Savannah, Howe, Hunter, Josyula, Mariam, Li, Annie, Mieses, Abraham, Mohamed, Amina, Nudnou, Ilya, Parkhill, Ezra, Riley, Peter, Schmidt, Brett, Shinkle, Matthew W., Si, Wentao, Szekely, Brian, Torres, Joaquin M., Weissmann, Eliana

We introduce the Visual Experience Dataset (VEDB), a compilation of over 240 hours of egocentric video combined with gaze- and head-tracking data that offers an unprecedented view of the visual world as experienced by human observers. The dataset con

Externí odkaz: http://arxiv.org/abs/2404.18934

Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks

Autor: Binaee, Kamran, Starynska, Anna, Pelz, Jeff B, Kanan, Christopher, Diaz, Gabriel Jacob

Theories for visually guided action account for online control in the presence of reliable sources of visual information, and predictive control to compensate for visuomotor delay and temporary occlusion. In this study, we characterize the temporal r

Externí odkaz: http://arxiv.org/abs/1805.05946

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A Non Local Means Method Using Fuzzy Similarity Criteria for Restoration of Ultrasound Images.

Autor: Binaee, Kamran, Hasanzadeh, Reza P. R.

Publikováno v: Machine Vision & Image Processing (MVIP), 2011 7th Iranian; 2011, p1-5, 5p

The visual experience dataset: Over 200 recorded hours of integrated eye movement, odometry, and egocentric video.

Autor: Greene MR; Barnard College, Columbia University, New York, NY, USA.; Bates College, Lewiston, ME, USA.; mgreene@barnard.edu., Balas BJ; North Dakota State University, Fargo, ND, USA.; bjbalas@gmail.com., Lescroart MD; University of Nevada, Reno, NV, USA.; mlescroart@unr.edu., MacNeilage PR; University of Nevada, Reno, NV, USA.; pmacneilage@unr.edu., Hart JA; Bates College, Lewiston, ME, USA.; jenniferhart11@gmail.com., Binaee K; University of Nevada, Reno, NV, USA.; Magic Leap, Plantation, FL, USA.; kamranbinaee@gmail.com., Hausamann PA; Technical University of Munich, Munich, Germany.; peter.hausamann@tum.de., Mezile R; Bates College, Lewiston, ME, USA.; rmezile@bates.edu., Shankar B; University of Nevada, Reno, NV, USA.; Unmanned Ground Systems, Chelmsford, MA, USA.; bshankar@nevada.unr.edu., Sinnott CB; University of Nevada, Reno, NV, USA.; Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA.; christian.sinnott@ski.org., Capurro K; University of Nevada, Reno, NV, USA.; capurro.kaylie@gmail.com., Halow S; University of Nevada, Reno, NV, USA.; savvyhalow@gmail.com., Howe H; University of Nevada, Reno, NV, USA.; hhowe@nevada.unr.edu., Josyula M; Bates College, Lewiston, ME, USA.; mjosyula@bates.edu., Li A; Bates College, Lewiston, ME, USA.; ali2@bates.edu., Mieses A; Bates College, Lewiston, ME, USA.; amieses@bates.edu., Mohamed A; Bates College, Lewiston, ME, USA.; amohama@bates.edu., Nudnou I; North Dakota State University, Fargo, ND, USA.; ilya.nudnou@ndsu.edu., Parkhill E; Bates College, Lewiston, ME, USA.; eparkhill@bates.edu., Riley P; Bates College, Lewiston, ME, USA.; priley@bates.edu., Schmidt B; Bates College, Lewiston, ME, USA.; bschmidt@bates.edu., Shinkle MW; University of Nevada, Reno, NV, USA.; mshinkle1040@gmail.com., Si W; Bates College, Lewiston, ME, USA.; wsi@bates.edu., Szekely B; University of Nevada, Reno, NV, USA.; bszekely@nevada.unr.edu., Torres JM; Bates College, Lewiston, ME, USA.; jtorres2@bates.edu., Weissmann E; Bates College, Lewiston, ME, USA.; eweissma@bates.edu.

Publikováno v: Journal of vision [J Vis] 2024 Oct 03; Vol. 24 (11), pp. 6.