Please visit my current web page at Ryerson University |
For a more complete list see my Google Scholar page |
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Selected Publications |
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NDB Bruce, C Catton, S Janjic A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 516-524 |
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SK Ryman, NDB Bruce, MS Freund, Temporal responses of chemically diverse sensor arrays for machine olfaction using artificial intelligence, Sensors and Actuators B: Chemical 231, 666-674 |
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JFG Boisvert, NDB Bruce, Predicting task from eye movements: On the importance of spatial distribution, dynamics, and image features, Neurocomputing |
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S Rahman, NDB Bruce. Factors underlying inter-observer agreement in gaze patterns: predictive modelling and analysis. In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA '16). ACM, New York, NY, USA, 155-162. |
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S Rahman, N Bruce, Saliency, Scale and Information: Towards a Unifying Theory, Advances in Neural Information Processing Systems (NIPS 2015), 2179-2187 |
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NDB Bruce, S Rahman, D Carrier, Sparse coding in early visual representation: From specific properties to general principles, Neurocomputing 171, 1085-1098 |
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NDB Bruce, C Wloka, N Frosst, S Rahman, JK Tsotsos, On computational modeling of visual saliency: Examining what’s right, and what’s left, Vision research 116, 95-112 |
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HR Nasrinpour, NDB Bruce, Saliency weighted quality assessment of tone-mapped images, 2015 IEEE International Conference on Image Processing (ICIP), 4947-4951 |
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S Rahman, N Bruce, Visual Saliency Prediction and Evaluation across Different Perceptual Tasks, PLoS ONE 10 (9), e0138053 |
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B Ens, E Ofek, N Bruce, P Irani, Spatial Constancy of Surface-Embedded Layouts across Multiple Environments, Proceedings of the 3rd ACM Symposium on Spatial User Interaction, 65-68 |
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D Lundqvist, N Bruce, A Öhman, Finding an emotional face in a crowd: Emotional and perceptual stimulus factors influence visual search efficiency, Cognition and Emotion 29 (4), 621-633 |
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R Hettiarachchi, J Peters, N Bruce, Fence-like Quasi-periodic Texture Detection in Images, Theory and Applications of Mathematics & Computer Science 4 (2), 123-139 |
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M Nakane, JE Young, and NDB Bruce. 2014. More human than human?: a visual processing approach to exploring believability of android faces. In Proceedings of the second international conference on Human-agent interaction (HAI '14). ACM, New York, NY, USA, 377-381. |
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S Rahman, M Rochan, Y Wang, NDB Bruce, Examining visual saliency prediction in naturalistic scenes 2014 IEEE International Conference on Image Processing (ICIP), 4082-4086 |
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M Rochan, S Rahman, NDB Bruce, Y Wang, Segmenting objects in weakly labeled videos, 2014 Canadian Conference onComputer and Robot Vision (CRV) 119-126 |
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Bruce, N.D.B., Towards Fine Grained Fixation Analysis: Distilling Out Contect Dependence, ACM Symposium on Eye Tracking Research and Applications (ETRA 2014), 2014. |
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Bruce, N.D.B., ExpoBlend: Information preserving exposure blending based on normalized log-domain entropy, Computers & Graphics, 39:12-23, 2014. |
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Yang, X-D., Hasan, K., Bruce, N.D.B., Irani, P., Surround-See: Enabling Peripheral Vision on Smartphones during Active Use . In Proceedings of the 26th Symposium on User Interface Software and Technology (UIST'13). St. Andrews, UK. ACM. |
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Bruce, N.D.B., Non-linear normalized entropy based exposure blending. Proceedings of Graphics Interface 2013, 37-44, 2013. |
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Bruce, N.D.B*, Shi, X.*, Tsotsos, J.K., Recurrent Refinement for Visual Saliency Estimation in Surveillance Scenarios, Computer and Robot Vision (CRV), 2012, 117-124, 2012. |
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Shi, X., Bruce, N.D.B., Tsotsos, J.K., Biologically motivated local contextual modulation improves low-level visual feature representations, Image Analysis and Recognition, 79-88, 2012. |
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Bruce, N.D.B., Tsotsos, J.K., Attention in Stereo Vision: Implications for Computational Models of Attention. In Pomplun, M., Suzuki, J., Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts. IGI Global, 2012. |
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Bruce, N.D.B. Tsotsos, J.K., Visual representation determines search difficulty: explaining visual search asymmetries. Frontiers in Computational Neuroscience. 5:33, 2011. |
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Shi, X.*, Bruce, N.D.B.*, Tsotsos, J.K., Fast, Recurrent, Attentional Modulation Improves Saliency Representation and Scene Recognition, CVPR Workshop on Biologically-Consistent Vision, 2011. |
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Bruce, N.D.B., Shi, X., Simine, E., Tsotsos, J.K., Visual Representation in the Determination of Saliency, in Proceedings of CRV 2011, 25-27, pp. 242-249, St. Johns, NL. |
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Bruce, N.D.B., Tsotsos, J.K., Saliency, Attention, and Visual Search: An Information Theoretic Approach, Journal of Vision 9(3):5, 1-24, 2009, http://journalofvision.org/9/3/5/, doi:10.1167/9.3.5. |
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Bruce, N.D.B., and Kornprobst, P., On the role of context in probabilistic models of visual saliency, In proceedings of the IEEE International Conference on Image processing, 2009. |
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Bruce, N.D.B., and Kornprobst, P., Harris corners in the Real World: A Principled Selection Criterion for Interest Points Based on Ecological Statistics, In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2009. |
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Tsotsos, J.K., Bruce, N.D.B., Computational foundations for attentive processes, Scholarpedia 3(12):6545, 2008. |
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Loach, D., Frischen, A., Bruce, N.D.B., Tsotsos, J.K., An attentional mechanism for selecting appropriate actions afforded by graspable objects, Psychological Science 19(12), p 1253-1257, 2008. |
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Bruce, N.D.B., Tsotsos, J.K., Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency, 5th Int. Workshop on Attention in Cognitive Systems, Santorini Greece, May 12, 2008. Selected for oral presentation |
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Bruce, N.D.B., Loach, D., Tsotsos, J.K., Visual Correlates Of Fixation Selection: A Look At The Spatial Frequency Domain, IEEE Int. Conf. on Image Processing, San Antonio, Sept. 16-19, 2007. |
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Bruce, N.D.B., Tsotsos, J.K., An Information Theoretic Model of Saliency and Visual Search, L. Paletta and E. Rome (Eds.): WAPCV 2007, LNAI 4840, pp. 171-183, 2007. Selected for oral presentation |
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Bruce, N.D.B., Tsotsos, J.K., Saliency Based on Information Maximization.Advances in Neural Information Processing Systems, 18, pp. 155-162, June 2006. Selected for oral presentation |
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Bruce, N.D.B., Tsotsos, J.K., A Statistical Basis for Visual Field Anisotropies.Neurocomputing, v. 69:10-12, pp. 1301-1304, June 2006. |
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Bruce, N.D.B., Tsotsos, J.K., An Attentional Framework for Stereo Vision, InProceedings of the 2nd Canadian Conference on Computer and Robot Vision, Victoria, BC, 2005. Selected for oral presentation |
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Bruce, N.D.B., Features that draw visual attention: An information theoretic perspective. Neurocomputing, v. 65-66, pp. 125-133, May 2005. |
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Bruce, N.D.B., Image analysis through local information measures. In Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, UK, 2004. |
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Bruce, N.D.B., Jernigan, M.E. Evolutionary Design of Context-Free Attentional Operators. In Proceedings of the IEEE International Conference on Image Processing, Barcelona, Spain, 2003. |
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Zelek, J.S., Bruce, N.D.B., Kanwar, R. Automated Monitoring of Pigs from Afar. In Proceedings Vision Interface 2000, pp. 166-173, Montreal, QC, 2000. |
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Theses, Book Chapters and Technical Reports |
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Bruce, N.D.B., Saliency, Attention and Visual Search: An Information Theoretic Approach, Ph.D. Thesis, York University, 2008. |
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Bruce, N.D.B., Tsotsos, J.K., A Connectionist Perspective on Laterality in Visual Attention, York University, Department of Computer Science, Technical Report, March 2005. |
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Tombu, M., Bruce, N.D.B., Rothenstein, A., Tsotsos, J.K. A Brief Tour of This Volume, Neurobiology of Attention, Ed. by L. Itti, G. Rees, J.K. Tsotsos, Elsevier/Academic Press, 2004. |
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Bruce, N.D.B. Evolutionary Design for Computational Visual Attention. M.A.Sc. Thesis, University of Waterloo, 2003. |
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Abstracts, Posters and Invited Talks |
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Endres D., Hoffken M., Vintila F., Bruce N., Bouecke, J.D., Kornprobst P., Neumann H. & Giese M. (2010). Hooligan Detection: the Effects of Saliency and Expert Knowledge. ECVP 2010 and Perception, 39, page 193. |
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Bruce, N.D.B., On the use of Shannon information and Bayesian surprise in modeling attention, Models and Mechanisms of Visual Attention: A Critical Appraisal, Workshop at the Neural Information Processing Systems (NIPS), 2007. Invited Talk |
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Bruce, N.D.B., Tsotsos, J.K., Attention based on information maximization.Journal of Vision, 7(9):950a, 2007. http://journalofvision.org/7/9/950/,doi:10.1167/7.9.950. |
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Bruce, N.D.B., Tsotsos., J.K., Attention based on Information Maximization, ICVS 2007 Workshop: From Computational Cognitive Neuroscience to Computer Vision, Bielefeld, 2007. Invited talk |
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Bruce, N.D.B., Tsotsos, J.K., A statistical basis for visual field anisotropies. CNS 2005, Annual Computational Neuroscience Meeting, July 17-21 2005, Madison, WI, USA. Poster |
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Bruce, N.D.B., Features That Draw Visual Attention An Information Theoretic Perspective. CNS 2004, Annual Computational Neuroscience Meeting, July 18-20 2004, Baltimore, MD, USA. Poster |