Publications

2017

Choo, H., Nasar, J., Nikrahei, B., & Walther, D.B. (2017). Neural codes of seeing architectural styles, Scientific Report. PDF

2016

Heeyoung Choo and Dirk B. Walther (2016) Contour junctions underlie neural representations of scene categories in human visual cortex, Neuroimage, 135, 32-44. doi:10.1016/j.neuroimage.2016.04.021 PDF

2015

Emanuele Olivetti and Dirk B. Walther (2015) A Bayesian Test for Comparing Classifier Errors, Proceedings of the 5th International
Workshop on Pattern Recognition in NeuroImaging: 
69-72, Stanford, CA. PDF

Thomas O’Connell and Dirk B. Walther (2015) Dissociation of salience-driven and content-driven spatial attention to scene category with predictive decoding of gaze patterns, Journal of Vision, 12(5):20, 1-13, doi:10.1167/15.5.20 or PDF

Richards MR, Fields HW Jr, Beck FM, Firestone AR, Walther DB, Rosenstiel S, Sacksteder JM (2015) Contribution of malocclusion and female facial attractiveness to smile esthetics evaluated by eye tracking. American Journal of Orthodontics and Dentofacial Orthopedics 147(4):472-82. PDF

2014

Dirk B. Walther and Dandan Shen (2014) Non-accidental properties underlie human categorization of complex natural scenes, Psychological Science, 25: 851-860. PDF

Kyungtae Kim, Kai-Hsiang Lin, Dirk B. Walther, Mark A. Hasegawa-Johnson, Tomas S. Huang (2014) Automatic Detection of Auditory Salience with Optimized Linear Filters Derived from Human Annotation, Pattern Recognition Letters, 38: 78-85. dx.doi.org/10.1016/j.patrec.2013.11.010 or PDF

2013

Dirk B. Walther (2013) Using confusion matrices to estimate mutual information between two categorical measurements, Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging: 220-224. Philadelphia, PA. PDF

Ana Torralbo, Dirk B. Walther, Barry Chai, Eamon Caddigan, Li Fei-Fei, Diane M. Beck (2013) Good Exemplars of Natural Scene Categories Elicit Clearer Patterns than Bad Exemplars but Not Greater BOLD Activity. PLoS ONE 8(3): e58594. doi: 10.1371/journal.pone.0058594 or PDF

2012

Samuel Rivera, Catherine Best, Hyungwook Yim, Aleix Martinez, Vladimir Sloutsky, Dirk B. Walther (2012). Automatic selection of eye tracking variables in visual categorization for adults and infants. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society: 2240-2245. Austin, TX: Cognitive Science Society. PDF

2011

Dirk B. Walther, Barry Chai, Eamon Caddigan, Diane M. Beck, and Li Fei-Fei (2011), Simple line drawings suffice for functional MRI decoding of natural scene categories, PNAS 108 (23): 9661-9666. PDF

Loan T.K. Vo, Dirk B. Walther, Arthur F. Kramer, Kirk I. Erickson, Walter R. Boot, Michelle W. Voss, Ruchika S. Prakash, Monica Fabiani, Gabriele Gratton, Daniel J. Simons, and Michelle Y. Wang (2011), Predicting Individuals’ Learning Success from Patterns of Pre-learning MRI Activity. PLoS One 6(1): e16093. doi: 10.1371/journal.pone.0016093 or PDF

2009

Barry Chai†, Dirk B. Walther†, Diane M. Beck*, Li Fei-Fei*. Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis. NIPS 2009. PDF

Bangpeng Yao, Dirk B. Walther, Diane M. Beck*, Li Fei-Fei*. Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions. NIPS 2009. PDF

Dirk B. Walther, Eamon Caddigan, Li Fei-Fei*, and Diane M. Beck* (2009), Natural scene categories revealed in distributed patterns of activity in the human brain, Journal of Neuroscience, 29(34):10573–10581. PDF

Huazhong Ning, Tony X. Han, Dirk B. Walther, Ming Liu, and Thomas Huang (2009), Hierarchical Space-Time Model Enabling Efficient Search for Human Actions, IEEE Transactions on Circuits and Systems for Video Technology, 19(6): 808-820. PDF

2007

Dirk B. Walther and Li Fei-Fei (2007). Task-set switching with natural scenes: Measuring the cost of deploying top-down attention. Journal of Vision, 7(11):9, 1-12, doi: 10.1167/7.11.9. or PDF

2006

Dirk Walther, Interactions of visual attention and object recognition: computational modeling, algorithms, and psychophysics. PhD thesis, California Institute of Technology, Pasadena, CA, 23th February 2006. http://resolver.caltech.edu/CaltechETD:etd-03072006-135433

Dirk Walther and Christof Koch, Modeling attention to salient proto-objects. Neural Networks (2006) 19, 1395-1407. PDF

2005

Dirk Walther, Ueli Rutishauser, Christof Koch, and Pietro Perona, Selective visual attention enables learning and recognition of multiple objects in cluttered scenes, Computer Vision and Image Understanding (2005), 100, 41-63. PDF

2004

Dirk Walther, Duane R.Edgington, and Christof Koch, Detection and Tracking of Objects in Underwater Video. IEEE International Conference on Computer Vision and Pattern Recognition (2004), 1, 544-549. PDF

Ueli Rutishauser, Dirk Walther, Christof Koch, and Pietro Perona, Is bottom-up attention useful for object recognition? IEEE International Conference on Computer Vision and Pattern Recognition (2004), 2, 37-44. (“Best Poster Presentation” award.) PDF

Dirk Walther, Ueli Rutishauser, Christof Koch, and Pietro Perona, On the usefulness of attention for object recognition, 2nd Workshop on Attention and Performance in Computational Vision at the European Conference for Computer Vision (2004), 96-103. PDF


Dirk Walther, Laurent Itti, Maximilian Riesenhuber, Tomaso Poggio, and Christof Koch, Attentional Selection for Object Recognition – a Gentle Way. Biologically Motivated Computer Vision – Lecture Notes in Computer Science, Springer (2002) 2525, 472-479. PDF

D. Chung, R. Hirata, T. N. Mundhenk, J. Ng, R. J. Peters, E. Pichon, A. Tsui, T. Ventrice, D. Walther, P. Williams, L. Itti, A New Robotics Platform for Neuromorphic Vision: Beobots. Biologically Motivated Computer Vision – Lecture Notes in Computer Science, Springer (2002) 2525, 558-566. PDF

Book Chapters:

Dirk B. Walther, Diane M. Beck, and Li Fei-Fei (2012) To err is human: correlating fMRI decoding and behavioral errors to probe the neural representation of natural scene categories. in: Nikolaus Kriegeskorte and Gabriel Kreiman (eds.), Understanding visual population codes – Toward a common multivariate framework for cell recording and functional imaging, MIT Press, Cambridge, Massachusetts. PDF

Dirk B. Walther and Christof Koch (2007) Attention in Hierarchical Models of Object Recognition. in Paul Cisek, Trevor Drew, and John F. Kalaska (eds.), Computational Neuroscience: Theoretical insights into brain function, Progress in Brain Research, 165: 57-78. PDF

(†,* indicates equal contribution)