.Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther,Allan Jepson, Sven Dickinson, and Kaleem Siddiqi (2019). Scene Categorization from Contours: Medial Axis Based Salience Measures. IEEE International Conference on Computer Vision and Pattern Recognition, Long Beach, California. PDF
Damiano, and Walther DB. (2019). Distinct roles of eye movements during memory encoding and retrieval. Cognition, 184: 119-129. doi: https://doi.org/10.1016/j.cognition.2018.12.014. PDF
Damiano, C, Wilder, J, & Walther DB. (2019). Mid-level feature contributions to category-specific gaze guidance. Attention, Perception, & Psychophysics, 81: 35-46. https://doi.org/10.3758/s13414-018-1594-8. PDF
Wilder J., Rezanejad M., Dickinson S., Siddiqi K., Jepson A., Walther D.B. (2019). Local contour symmetry facilitates scene categorization. Cognition, 182: 307-317. https://doi.org/10.1016/j.cognition.2018.09.014. PDF
Wilder, J, Dickinson, S, Jepson, A, & Walther DB. (2018). Spatial relationships between contours impact rapid scene classification. Journal of Vision. 18(8):1. doi: 10.1167/18.8.1. PDF
Lowe, MX, Rajsic, J, Ferber, S, & Walther DB. (2018). Discriminating scene categories from brain activity within 100 ms. Cortex 106:275-287. https://doi.org/10.1016/j.cortex.2018.06.006Cortex. PDF
O’Connell, TP, Sederberg, PB, & Walther DB. (2018). Representational differences between line drawings and photographs of natural scenes: A dissociation between multi-voxel pattern analysis and repetition suppression. Neuropsychologia, 117: 513–519. PDF
Jung Y, Larson B, Walther DB. (2018). Modality-independent coding of scene categories in prefrontal cortex. Journal of Neuroscience. PDF [stimuli]
Jung Y, Larson B, Walther DB. (2018). Using decoding error patterns to trace the neural signature of auditory scene perception. Proceedings of the 8th International Workshop on Pattern Recognition in NeuroImaging, Singapore. PDF
Berman D, Golomb JD, Walther DB. (2017). Scene content is predominantly conveyed by high spatial frequencies in scene-selective visual cortex. PLOS ONE 12(12): e0189828. weblink or PDF
Choo H, & Walther DB. (2017). Modeling the Effect of Stimulus Perturbations on Error Correlations between Brain and Behavior, Proceedings of the 7th International Workshop on Pattern Recognition in NeuroImaging, Toronto, Canada. PDF
Jung Y, Larsen B, & Walther DB. (2017). Modality-Independent Coding Of Concepts In Prefrontal Cortex, Biorxiv, doi: https://doi.org/10.1101/142562
Choo H, Nasar J, Nikrahei B, & Walther DB. (2017). Neural codes of seeing architectural styles, Scientific Report. PDF
Choo H, & Walther DB. (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
Damiano C, & Walther DB. (2015). Content, not context, facilitates memory for real-world scenes. Visual Cognition, 23(7), 852-855.PDF
Olivetti E, & Walther DB. (2015). A Bayesian Test for Comparing Classifier Errors, Proceedings of the 5th International
Workshop on Pattern Recognition in NeuroImaging: 69-72, Stanford, CA. PDF
O’Connell T, & Walther DB. (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
Walther DB, & Shen D. (2014). Non-accidental properties underlie human categorization of complex natural scenes, Psychological Science, 25:851-860. PDF
Kim K, Lin KH, Walther DB, Hasegawa-Johnson MA, Huang TS. (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
Walther DB. (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
Torralbo A, Walther DB, Chai B, Caddigan E, Fei-Fei L, Beck DM. (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
Rivera S, Best C, Yim H, Martinez A, Sloutsky V, Walther DB. (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
Walther DB, Chai B, Caddigan E, Beck DM, & Fei-Fei L. (2011). Simple line drawings suffice for functional MRI decoding of natural scene categories, PNAS. 108(23): 9661-9666. PDF
Vo LTK, Walther DB, Kramer AF, Erickson KI, Boot WR, Voss M, Prakash RS, Fabiani M, Gratton G, Simons DJ, & Wang MY. (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
Chai B†, Walther DB†, Beck DM*, & Fei-Fei L*. (2009). Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis. NIPS. PDF
Yao B, Walther DB, Beck DM*, & Fei-Fei L*. (2009). Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions. NIPS. PDF
Walther DB, Caddigan E, Fei-Fei L*, & Beck DM*. (2009). Natural scene categories revealed in distributed patterns of activity in the human brain. Journal of Neuroscience, 29(34):10573–10581. PDF
Ning H, Han TX, Walther DB, Liu M, & Huang T. (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
Walther DB, & Fei-Fei L. (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
Walther D. (2006). 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
Walther D, & Koch C. (2006). Modeling attention to salient proto-objects. Neural Networks, 19, 1395-1407. PDF
Walther D, Rutishauser U, Koch C, & Perona P. (2005). Selective visual attention enables learning and recognition of multiple objects in cluttered scenes. Computer Vision and Image Understanding, 100, 41-63. PDF
Walther D, Edgington DR, & Koch C. (2004). Detection and Tracking of Objects in Underwater Video. IEEE International Conference on Computer Vision and Pattern Recognition, 1, 544-549. PDF
Rutishauser U, Walther D, Koch C, & Perona P. (2004). Is bottom-up attention useful for object recognition? IEEE International Conference on Computer Vision and Pattern Recognition, 2, 37-44. (“Best Poster Presentation” award.) PDF
Walther D, Rutishauser U, Koch C, & Perona P. (2004). On the usefulness of attention for object recognition. 2nd Workshop on Attention and Performance in Computational Vision at the European Conference for Computer Vision, 96-103. PDF
Walther D, Itti L, Riesenhuber M, Poggio T, & Koch C. (2002). Attentional Selection for Object Recognition – a Gentle Way. Biologically Motivated Computer Vision – Lecture Notes in Computer Science, Springer, 2525, 472-479. PDF
Chung D, Hirata R, Mundhenk TN, Ng J, Peters RJ, Pichon E, Tsui A, Ventrice T, Walther D, Williams P, & Itti L. (2002). A New Robotics Platform for Neuromorphic Vision: Beobots. Biologically Motivated Computer Vision – Lecture Notes in Computer Science, Springer (2002) 2525, 558-566. PDF
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)