Publications

Selected Paper Downloads

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2019

A. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs,” In Proc. British Machine Vision Conference (BMVC), 2019.
A. Rasouli and J. K. Tsotsos, “Autonomous vehicles that interact with pedestrians: A survey of theory and practice,” IEEE Transactions on Intelligent Transportation Systems, pp. 1-19, 2019.
I. Kotseruba, C. Wloka, A. Rasouli, and J. K. Tsotsos, “Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations,” In Proc. British Machine Vision Conference (BMVC), 2019.

2018

A. Rasouli, I. Kotseruba, and J. K. Tsotsos,“It’s Not All About Size: On the Role of Data Properties in Pedestrian Detection,” In Proc. European Conference on Computer Vision (ECCV) Workshop, 2018, pp. 210-225.
A. Rasouli, I. Kotseruba, and J. K. Tsotsos,“Towards Social Autonomous Vehicles: Understanding Pedestrian-Driver Interactions,” In Proc. International Conference on Intelligent Transportation Systems (ITSC), 2018, pp. 729-734.
A. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Understanding pedestrian behavior in complex traffic scenes,” IEEE Transactions on Intelligent Vehicles, vol. 3, no. 1, pp. 61–70, 2018.
A. Rasouli and J. K. Tsotsos, “Joint attention in driver-pedestrian interaction: from theory to practice,” arXiv:1802.02522, 2018.
A. Rasouli, P. Lanillos, G. Cheng, and J. K. Tsotsos, “Attention-based active visual search for mobile robots,” arxiv:1807.10744v1, 2018.
Calden Wloka, Iuliia Kotseruba, and John K. Tsotsos (2018) Active Fixation Control to Predict Saccade Sequences. Proc. of Conference on Computer Vision and Pattern Recognition (CVPR)
Calden Wloka, Toni Kunić, Iuliia Kotseruba, Ramin Fahimi, Nicholas Frosst, Neil D. B. Bruce, and John K. Tsotsos (2018) SMILER: Saliency Model Implementation Library for Experimental Research.
I. Kotseruba, and J. K. Tsotsos,“40 Years of Cognitive Architectures: Core Cognitive Abilities and Applications,” Artificial Intelligence Review, 2018. ()
J. K. Tsotsos, I. Kotseruba, A. Rasouli, and M. D. Solbach, “Visual attention and its intimate links to spatial cognition,” Cognitive Processing, vol. 19, no. 1, pp. 121-130, 2018.

2017

A. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Agreeing to cross: How drivers and pedestrians communicate,” In Proc. Intelligent Vehicles Symposium (IV), 2017, pp. 264–269.
A. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior,” In Proc. International Conference on Computer Vision (ICCV) Workshop, 2017, pp. 206–213.
A. Rasouli and J. K. Tsotsos, “The effect of color space selection on detectability and discriminability of colored objects,” arXiv:1702.05421, 2017.

2016

A. Rasouli and J. K. Tsotsos (2016), Sensor Planning for 3D Visual Search with Task Constraints, in Proc.
Canadian Conference on Computer and Robot Vision, Victoria, May.
Calden Wloka and John K. Tsotsos (2016) Spatially Binned ROC: A Comprehensive Saliency Metric. Proc. of Conference on Computer Vision and Pattern Recognition (CVPR)
I. Kotseruba, A. Rasouli and J. K. Tsotsos (2016), Joint Attention in Autonomous Driving (JAAD), arXiv:1609.04741, Sep.
John K. Tsotsos, Iuliia Kotseruba, and Calden Wloka (2016) A Focus on Selection for Fixation. Journal of Eye Movement Research 9(5):2,1-34
M. Solbach, F. Bonin-Font, A. Burguera, G. Oliver. Robust WorldCentric Stereo EKF Localization with Active Loop Closing for AUVs. In Pattern Recognition and Image Analysis, Russia, Pleiades Publishing – SPRINGER, Yuri I. Zhuravlev, vol. 26, no. 1 (in press), pp. 158–168, 2016.

2015

A. Rasouli and J. K. Tsotsos,“Integrating three mechanisms of visual attention for active visual search,” In 8th International Symposium on Attention in Cognitive Systems IROS, Hamburg, Germany, Sep. 2015.
Bonin-Font, F., Pep Lluis Negre Carrasco, A., Solbach, M., Oliver, G. Stereo SLAM for Robust Dense 3D Reconstruction of Underwater Environments. In MTS/IEEE Oceans, Genoa, 2015.
Bruce, N. D., Wloka, C., Frosst, N., Rahman, S., & Tsotsos, J. K. (2015). On computational modeling of visual saliency: Examining what’s right, and what’s left. Vision research.
Bylinskii, Z., DeGennaro, E. M., Rajalingham, R., Ruda, H., Zhang, J., & Tsotsos, J. K. (2015). Towards the quantitative evaluation of visual attention models. Vision Research.
Tsotsos, J. K. (2015). Putting Saliency in its Place.

2014

Kotseruba, Y., & Tsotsos, J. (2014). Visual Attention in Dynamic Environments and its Application to Playing On-line Games. Journal of Vision, 14(10), 523-523.
Rasouli A. and Tsotsos J.K, Attention in Autonomous Robotic Visual Search, in Proc. i-SAIRAS, Montreal, Quebec, Jun. 2014.
Rasouli A. and Tsotsos J.K., Visual Saliency Improves Autonomous Visual Search, in Proc. The Conference on Computer and Robotic Vision, Montreal, Quebec May, 2014.
Rothenstein, A. L., & Tsotsos, J. K. (2014). Attentional modulation and selection–an integrated approach. PloS one, 9(6), e99681.
Tsotsos, J. K., & Kruijne, W. (2014). Cognitive programs: software for attention’s executive. Frontiers in psychology, 5.
Tsotsos, J. K. (2014). It’s all about the constraints. Current Biology, 24(18), R854-R858.
Tsotsos, J. K. (2014). Tractability and Attention: Key Roles in Robotic Visual Search.
Tsotsos, J. (2014). What Does it Mean to Better Attend?. Journal of Vision, 14(10), 522-522.
Wloka, C., Bruce, N., & Tsotsos, J. (2014). Boundary effects across filter spatial scales. BMC Neuroscience, 15(1), 1-1.
Wloka, C., Frosst, N., & Tsotsos, J. (2014). Salience Across Spatial Scales. Journal of Vision, 14(10), 1034-1034.

2013

Andreopoulos, A., Tsotsos, J.K., 50 Years of Object Recognition: Directions Forward, Computer Vision and Image Understanding, Vol.117, Issue 8, August 2013, p. 827-891.
Andreopoulos, A., & Tsotsos, J. K. (2013). A computational learning theory of active object recognition under uncertainty. International journal of computer vision, 101(1), 95-142.
Bruce, N.D.B., Tsotsos, J.K. “Attention in Stereo Vision: Implications for Computational Models of Attention.” (2013).
Pomplun, M. & Suzuki, J. Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts. IGI Global, 2013, p65-88.
Rodriguez-Sanchez, A.J., Dudek, G.L., Tsotsos, J.K. Curvature and Shape Processes in Vision, in Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective, ed. by S. Dickinson and Z. Pizlo, Springer, 2013, p. 429 – 442.
Rodríguez-Sánchez, A. J., Dudek, G.L., & Tsotsos, J. K. (2013). Detecting, Representing and Attending to Visual Shape. In Shape Perception in Human and Computer Vision (pp. 429-442). Springer London.
Rodriguez-Sanchez, A.J., Tsotsos, JK., The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape, Developing and Applying Biologically‐Inspired Vision Systems: Interdisciplinary Concepts, edited by M. Pomplun and J. Suzuki, IGI Global, 2013, p184-207.
Rothenstein, A. L., & Tsotsos, J. K. (2013). Integrating attentional modulation with attentional selection.
Shi, X., Wang, B., Tsotsos, J.K., Early Recurrence Improves Edge Detection, British Machine Vision Conference, Bristol, UK, 9 – 13 Sept 2013.
Shi, X., Wang, B., & Tsotsos, J. K. (2013). Early recurrence improves edge detection. In Proceedings of the 24th British Machine Vision Conference.
Tsotsos, J. K. (2013). Cognitive programs: towards an executive controller for visual attention. In Vision Sciences Society Annual Meeting 2013.
Wang, B., Tu, Z., & Tsotsos, J. K. (2013, December). Dynamic label propagation for semi-supervised multi-class multi-label classification. In Computer Vision (ICCV), 2013 IEEE International Conference on (pp. 425-432). IEEE.
Wang, B., Tu, Z., Tsotsos, J.K., Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification, Proc. Int. Conference on Computer Vision, Dec. 12, 2013, Sydney.
Wloka, C., & Tsotsos, J. (2013). Overt Fixations Reflect a Natural Central Bias. Journal of Vision, 13(9), 239-239.

2012

Andreopoulos, A., Tsotsos, J.K., A Computational Learning Theory of Active Object Recognition Under Uncertainty, International Journal of Computer Vision , p1-48, 2012 (online August 7, 2012)
Andreopoulos A., Tsotsos J.K., On Sensor Bias in Experimental Methods for Comparing Interest Point, Saliency and Recognition Algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2012 (vol. 34 no. 1) pp. 110-126
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.
Bruce, N., Shi, X., Tsotsos, J.K., Recurrent Refinement for Visual Saliency Estimation in Surveillance Scenarios, Canadian Conference on Computer and Robot Vision, May 2012, Toronto, Ont.
Fazl-Ersi, E., Elder, J.H., Tsotsos, J.K., Hierarchical Classifiers for Robust Topological Robot Localization, Journal of Intelligent & Robotic Systems, p. 1-17, April 13, 2012
Fazl-Ersi, E., Tsotsos, J.K., A Performance Evaluation of Robot Localization Methods in Outdoor Terrains, Chapter 3.7 in C.H. Chen (Ed.), Emerging Topics in Computer Vision and its Applications, World Scientific Publishing
Fazl-Ersi, E., Tsotsos, J.K., Histogram of Oriented Uniform Patterns for Robust Place Recognition and Categorization, The International Journal of Robotics Research (IJRR) Special Issue on Robot Vision, 0278364911434936, first published on January 25, 2012
Fazl-Ersi, E., Tsotsos, J.K., Visual Place Categorization in Indoor Environments, Canadian Conference on Computer and Robot Vision, May 2012, Toronto, Ont.
Rodriguez-Sanchez, A., Tsotsos, JK., The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape, Developing and Applying Biologically‐Inspired Vision Systems: Interdisciplinary Concepts, edited by M. Pomplun and J. Suzuki, IGI Global
Rodriguez-Sanchez, A., Tsotsos, J.K, The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape, Public Library of Science (PLoS) ONE, available online 8/9/2012. http://dx.plos.org/10.1371/journal.pone.0042058.
Shi, X., Bruce, N., Tsotsos, J.K., Biologically Motivated Local Contextual Modulation Improves Low-level Visual Feature Representation, ICIAR 2012
Shi, X., Tsotsos, J.K., Background Subtraction via Early Recurrence in Dynamic, 21st Int. Conference on Pattern Recognition, Nov. 11-15, 2012, Tsukuba Science City, Japan.
Shi, X., Tsotsos, J.K., Improved Edge Representation via Early Recurrent Inhibition, Canadian Conference on Computer and Robot Vision, May 2012, Toronto, Ont.
Tsotsos, J.K., Rothenstein, A.L., Simine, E., Zaharescu, A., Visual Attention: Computational Problems, Strategies, and Mechanism, in Neuroscience of Attention, ed. G.R. Mangun, Oxford University Press, 2012, p. 81-99.

2011

Andreopoulos, A., Wersing, H., Janssen, H., Hasler, S., Tsotsos, J.K., Körner, E., Active 3D Object Localization using ASIMO, IEEE Transactions on Robotics, 27(1), p47-64, 2011.
Boehler, C.N., Tsotsos, J.K., Schoenfeld, M., Heinze, H.-J., Hopf, J.-M., Neural mechanisms of surround attenuation and distractor competition in visual search, J. Neuroscience31(14), p5213–5224, April 6, 2011.
Bruce, N., Shi, X., Simine, E., Tsotsos, J.K., Visual representation in the determination of saliency, Eighth Canadian Conference on Computer and Robot Vision (CRV 2011), St. John’s, Newfoundland, 25-27 May 2011.
Bruce ND, Tsotsos JK (2011) Visual representation determines search difficulty: explaining visual search asymmetries. Front. Comput. Neurosci. 5:33. doi: 10.3389/fncom.2011.00033, Published online: 13 July 2011.
CSE-2011-05. Wouter Kruijne and John K. Tsotsos. Visuo-cognitive Routines: reinterpreting the theory of visual routines as a framework for visual cognition.
Rodriguez-Sanchez, A., Tsotsos, J.K., The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations, Proc. IEEE Computer Vision and Pattern Recognition, Colorado Springs, June 2011.
Shi, X., Bruce, N., Tsotsos, J.K., Fast, Recurrent, Attentional Modulation Improves Saliency Representation and Scene Recognition, CVPR Workshop on Biologically-Consistent Vision, Colorado Springs, CO, June 2011
Tsotsos, J.K., A Computational Perspective on Visual Attention, The MIT Press, May 2011. click the book cover to enlarge
Tsotsos, J.K., Rothenstein, A., Computational Models of Visual Attention, Scholarpedia 6(1):6201. ed. by E. Izhikevich, 2011.
Tsotsos, J.K., Rothenstein, A.L., The Role of Attention in Shaping Visual Perceptual Processes, in Perception-Action Cycle Models, Architectures, and Hardware, ed. by V. Cutsiridis, A. Hussain, and J.G. Taylor, Springer Series in Cognitive and Neural Systems, Volume 1, 2011, DOI: 10.1007/978-1-4419-1452-1

2010

Chen, X., Tsotsos, J.K., Attentional Surround Suppression in the Feature Dimension, Dept of Computer Science and Engineering, Technical Report CSE-2010-01, York University, 2010.
Fazl-Ersi, E., Tsotsos, J.K., Energy Minimization via Graph Cuts for Semantic Place Labeling. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2010, Taipei, Taiwan.
Fazl-Ersi, E., Tsotsos, J.K., Robot Localization in Rough Terrains: Performance Evaluation, 7th Canadian Conference on Computer and Robot Vision, 2010
Fine, G., Tsotsos, J.K, Examining The Feasibility Of Face Gesture Detection For Monitoring Of Users Of Autonomous Wheelchairs, Ubiquitous Computing And Communication Journal, Special Issue of Media Solutions that Improve Accessibility to Disabled Users, 2010.
Hopf, J.-M., Boehler, N., Schoenfeld, M., Heinze, H.-J., Tsotsos, J.K., The spatial profile of the focus of attention in visual search: Insights from MEG recordings, Vision Research 50(14), p. 1312-1320, 2010.
Shubina, K., Tsotsos, J.K. Visual Search for an Object in a 3D Environment using a Mobile Robot, Computer Vision and Image Understanding, 114, p535-547, 2010.
Tsotsos, J.K., Re-Visiting Visual Routines: A White Paper, Dept of Computer Science and Engineering, Technical Report CSE-2010-11, York University, 2010.

2009

Bauckhage, C., Tsotsos, J.K., Bunn, F.E., Automatic Detection of Abnormal Gait, Image and Vision Computing Journal, Special Issue on Best Papers at Canadian Conference on Computer and Robot Vision, Volume 27, Issues 1-2, 1 January 2009, Pages 108-115, Available online 27 December 2006.
Boehler, C.N., Tsotsos, J.K., Schoenfeld, M., Heinze, H.-J., Hopf, J.-M., , The center-surround profile of the focus of attention arises from recurrent processing in visual cortex, Cerebral Cortex 19:982-991, 2009.
Bruce, N.D.B., Tsotsos, J.K., Saliency, Attention, and Visual Search: An Information Theoretic Approach, Journal of Vision 9:3, p1-24, 2009, http://journalofvision.org/9/3/5/, doi:10.1167/9.3.5.
Gryn, J., Wildes, R.P. Tsotsos, J.K. Detecting Motion Patterns via Directional Maps with Application to Surveillance, Computer Vision and Image Understanding, 113:2, p. 291-307, 2009. doi:10.1016/j.cviu.2008.10.006
Mekuz, N., Bauckhage, C. and Tsotsos, J.K., Subspace Manifold Learning with Sample Weights, Image and Vision Computing Journal, Special Issue on Best Papers at Canadian Conference on Computer and Robot Vision, Volume 27, Issues 1-2, 1 January 2009, Pages 80-86, Available online 27 December 2006
Paletta, L. and Tsotsos, J. (Eds.) , Attention in Cognitive Systems, International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers, Lecture Notes in Artificial Intelligence, Vol. 5395, 2009, ISBN: 978-3-642-00581-7.

2008

Andreopoulos, A., Tsotsos, J.K., Efficient and Generalizable Statistical Models of Shape and Appearance for Analysis of Cardiac MRI, Medical Image Analysis, Volume 12, Issue 3, June 2008, Pages 335-357.
Derpanis, K., Wildes, R., Tsotsos, J.K., Definition and Recovery of Kinematic Features for Recognition of American Sign Language Movements, Image and Vision Computing, Volume 26, Issue 12, 1 December 2008, Pages 1650-1662. Available online 22 April 2008.
Gasteratos, A., Vincze, M., Tsotsos, J. (Eds.), Computer Vision Systems 6th International Conference on Computer Vision Systems, Santorini, Greece, May 12-15, 2008, LNCS 5008, Springer Berlin / Heidelberg, ISBN: 978-3-540-79546-9
Jenkin, M., Tsotsos, J., Andreopoulos, A., Rotenstein, A., Robinson, M., Laurence, J., A large-scale touch sensitive display, Computational Intelligence in Multimedia Processing, 6th International Conference on Informatics and Systems, 27 28 March, 2008 Cairo Egypt.
Loach, D., Botella, J., Privado, J., Tsotsos, J.K., Priming and Intrusion Errors in RSVP Streams with Two Response Dimensions, Psychological Research (published on line 30 May 2007) Volume 72, Number 3 / May, 2008, pages 281-288.
Loach, D., Frischen, A., Bruce, N., Tsotsos, J.K., An attentional mechanism for selecting appropriate actions afforded by graspable objects, Psychological Science 19(12), p 1253-1257, 2008. Published Online: Dec 15 2008 DOI: 10.1111/j.1467-9280.2008.02234.x
MacLean, W.J., Tsotsos, J.K, Fast Pattern Recognition using Normalized Grey-Scale Correlation in a Pyramid Image Representation, Machine Vision and Applications Journal, Volume 19, Number 3 / May, 2008, pp. 163-179.
Rothenstein, A., Rodriguez-Sanchez, A., Simine, E., Tsotsos, J.K., Visual Feature Binding within the Selective Tuning Attention Framework, Int. J. Pattern Recognition and Artificial Intelligence – Special Issue on Brain, Vision and Artificial Intelligence, 22(5), 2008 p. 861-881
Rothenstein, A., Tsotsos, J.K., Attention Links Sensing with Perception, Image & Vision Computing Journal, Special Issue on Cognitive Vision Systems (ed. H. Buxton),Volume 26, Issue 1, 1 January 2008, Pages 114-126. Available online 29 March 2006.
Shubina, K., Tsotsos, J.K., Visual search for an Object in a 3D Environment using a Mobile Robot, Departmental Technical Report CSE-2008-02, April 28, 2008.
Tombu, M., Tsotsos, J.K., Attending to Orientation Results in an Inhibitory Surround in Orientation Space, Perception Psychophysics, 2008, 70 (1), 30-35.
Tsotsos, J.K., What Roles can Attention Play in Recognition?, 7th International Conference on Development and Learning, Monterey, California, August 9-12, 2008.
Tsotsos, J.K., Bruce, N.D.B., Computational foundations for attentive processes,Scholarpedia 3(12):6545, 2008.
Tsotsos, J.K., Rodriguez-Sanchez, A., Rothenstein, A., Simine, E., Different Binding Strategies for the Different Stages of Visual Recognition, Brain Research, Available online 23 May 2008

2007

Andreopoulos, A., Tsotsos, J.K., A Framework for Door Localization and Door Opening Using a Robotic Wheelchair for People Living with Mobility Impairments, RSS 2007 Manipulation Workshop: Sensing and Adapting to the Real World, Atlanta, June 30, 2007.
Andreopoulos, A., Tsotsos, J.K., Information Fusion for Multi-Camera and Multi-Body Structure and Motion, 8th Asian Conference on Computer Vision, Tokyo, Japan, Nov 18-22, 2007.
Bruce, N., 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.
Bruce, N., Tsotsos., J.K., Attention based on Information Maximization, Workshop From Computational Cognitive Neuroscience to Computer Vision, Bielefeld, March 21, 2007.
Bruce, N. 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.
Fazl-Ersi, E., Zelek, J.S., Tsotsos, J.K., Robust Face Recognition through Local Graph Matching, J. Multimedia, 2(4), 2007.
K. G. Derpanis, E. T. H. Leung and M. Sizintsev, Fast Scale-Space Feauture Representations by Generalized Integral Images, ICIP
K. Derpanis, E. Leung and M. Sizintsev, Fast Scale-space Feature Representations by Generalized Integral Images, Technical Report CSE-2007-01
K. Shubina, Sensor Planning for 3D Object Search, M.Sc. Thesis, Department of Computer Science and Engineering, York University, 2007
Martinez-Trujillo, J.C., Cheyne, D., Gaetz, W., Simine, E., Tsotsos, J.K., Activation of area MT/V5 and the right inferior parietal cortex during the discrimination of transient direction changes in translational motion, Cerebral Cortex, 2007 Jul;17(7):1733-9. Epub 2006 Sep 29.
N. Mekuz and J. K. Tsotsos, Hierarchical Learning of Dominant Constellations for Object Class Recognition, 8th Asian Conference on Computer Vision, Tokyo, Japan, Nov 18-22, 2007.
Rodriguez-Sanchez, A.J., Simine, E., Tsotsos., J.K., Attention And Visual Search, Int. J. Neural Systems,2007 Aug;17(4):275-88.
Rotenstein, A., Andreopoulos, A., Fazl, E., Jacob, D., Robinson, M., Shubina, K., Zhu, Y., Tsotsos, J.K., Towards the dream of intelligent, visually-guided wheelchairs, Proc. 2nd International Conference on Technology and Aging, Toronto, Can. June, 2007.
Rotenstein, A., Rothenstein, A., Robinson, M., Tsotsos, J.K., Robot middleware should support task-directed perception, too, 2nd International Workshop on Software Development and Integration into Robotics, International Conference on Robotics and Automation, Rome, Italy, April 14 , 2007.
Rothenstein, A., Tsotsos. J.K., Selective attention integrates sparse and population codes, Proc. Computational and Systems Neuroscience 2007, 22-25 Feb 07, Salt Lake City, Utah.
Rothenstein, A., Tsotsos, J.K., Selective Tuning: Modeling the dynamics of feature binding during object-selective attention, 4th International IJCAI Workshop on Attention in Cognitive Systems, Jan. 8 2007, Hyderabad, India.
Tsotsos, J.K., Rodriguez-Sanchez, A., Rothenstein, A., Simine, E., Different Binding Strategies for the Different Stages of Visual Recognition, 2nd Int. Symposium Brain, Vision and Artificial Intelligence, Naples, Italy, Oct. 10-12, 2007.
Tsotsos, J.K.,Shubina, K., Attention and Visual Search : Active Robotic Vision Systems that Search. The 5th International Conference on Computer Vision Systems, Bielefeld, March 21 – 24, 2007
Vintila, F., Tsotsos, J.K., Motion Estimation using a General Purpose Neural Network Simulator for Visual Attention, IEEE Workshop on Applications of Computer Vision, Feb 21-22, 2007 Austin, Texas, USA.

2006

A.J. Rodríguez-Sánchez, E. Simine, J.K. Tsotsos, Feature conjunctions in Visual Search, ICANN 2006
A. L. Rothenstein and J. K. Tsotsos, Selective Tuning: Feature Binding Through Selective Attention, ICANN 2006
A. L. Rothenstein, A. Zaharescu and J. K. Tsotsos, Second-order (non-Fourier) Attention-Based Face Detection, ICANN 2006 K. Derpanis, Characterizing Image Motion, Technical Report CSE-2006-06
E. Simine, Motion Model: Extending and Improving Performance and Providing Biological Evidence for Motion Change Detectors, M.Sc. Thesis, Department of Computer Science and Engineering, York University, 2006
J. C. Martinez-Trujillo1, D. Cheyne, W. Gaetz, E. Simine and J. K. Tsotsos, Activation of Area MT/V5 and the Right Inferior Parietal Cortex during the Discrimination of Transient Direction Changes in Translational Motion, Cerebral Cortex 2006. Supplemental figures.
N. Mekuz, K. Derpanis and J. K. Tsotsos, Adaptive Step Size Window Matching for Detection, ICPR 2006
N. Mekuz and J. K. Tsotsos, Parameterless Isomap with Adaptive Neighborhood Selection, DAGM 2006

2005

Andreopoulos, A., Tsotsos, J.K., A Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI Segmentation. 14th Scandinavian Conference on Image Analysis (SCIA 2005).
A. Andreopoulos and J. K. Tsotsos, Resampling 4-D Images Using Adaptive Filtering, CRV 2005
Bauckhage, C., Tsotsos, J.K. Separable Linear Discriminant Classification, 27th German Association for Pattern Recognition DAGM2005, Vienna, Austria, August 30th – September 2, 2005
Bauckhage, Tsotsos, J.K., “Image Space I3 and Eigen Curvature for Illumination Insensitive Face Detection“, International Conference on Image Analysis and Recognition, Toronto from Sep 28–30. 2000.
Bauckhage, C., J.K. Bounding Box Splitting for Robust Shape Classification, in Proc. IEEE Int. Conf. on Image Processing, 2005 , Genoa, Italy
Bruce, N., Tsotsos, J.K., A Statistical Basis for Visual Field Anisotropies, Computational Neuroscience, CNS 2005, July 17 – 21, Madison, WI.
C. Bauckhage, J. K. Tsotsos and F. Bunn, Detecting abnormal Gait, CRV 2005 (Received Best Paper at Conference Prize).
C. Bauckhage and J. K. Tsotsos, Separable Linear Discriminant Classification, DAGM 2005
C. Thurau, T. Paczian and C. Bauckhage. Is Bayesian Imitation Learning the Route to Believable Gamebots? In /Proc. Game-ON North America, /pages 3–9, 2005
Gryn, J., Wildes, R, Tsotsos, J., Detecting Motion Patterns via Direction Maps with Application to Surveillance, Jan 5-7 2005, IEEE Workshop on Applications of Computer Vision, Breckenridge, Colorado.
Latzel, M., Tsotsos, J.K., Darcourt, E., People Tracking using Robust Motion Detection and Estimation, Canadian Conference on Computer and Robot Vision, Victoria, May 9 – 11, 2005.
Leung, E., Tsotsos, J.K., Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images, IEEE Int. Conference on Computer Vision, Beijing, 2005.
Martinez-Trujillo, J.C., Tsotsos, J.K., Simine, E., Pomplun, M., Wildes, R., Treue, S., Heinze, H.-J., Hopf, J.-M., Selectivity for Speed Gradients in Human Area MT/V5, NeuroReport 16(5):435-438, 2005 Apr 4.
N. Bruce and J. K. Tsotsos, An Attentional Framework for Stereo Vision, CRV 2005
N. Mekuz, C. Bauckhage and J. K. Tsotsos, Face Recognition with Weighted Locally Linear Embedding, CRV 2005
Tsotsos, J.K., Liu, Y., Martinez-Trujillo, J., Pomplun, M., Simine, E., Zhou, K., Attending to Visual Motion, Computer Vision and Image Understanding, Vol. 100, 1-2, p 3 – 40, Oct. 2005.

2004

A. J. Rodriguez-Sanchez, J. K. Tsotsos and J. C. Martinez-Trujillo, Velocity Gradient Information Influences Optical Flow Processing in Human Observers, VSS, 2004
A. L. Rothenstein, A. Zaharescu and J. K. Tsotsos, A General Purpose Neural Network Simulator for Visual Attention Modeling, WAPCV 2004
A. L. Rothenstein, A. Zaharescu and J. K. Tsotsos, TarzaNN: A General Purpose Neural Network Simulator for Visual Attention Modeling, ECCV 2004.
A. Zaharescu, Towards a Biologically Plausible Active Visual Search Model, M.Sc. Thesis, Department of Computer Science, York University, 2004
A. Zaharescu, A. Rothenstein, J. K. Tsotsos, Towards a Biologically Plausible Active Visual Search Model, Proc. ECCV WAPCV2004, Prague, May 15, 2004.
C. Bauckhage and C. Thurau. Exploiting the Fascination: Video Games in Machine Learning Research and Education. In Proc. 2nd Int. Workshop in Computer Game Design and Technology, pages 61-70. ACM, 2004. (invited paper).
C. Bauckhage and C. Thurau. Towards a Fair ‘n Square Aimbot – Using Mixtures of Experts to Learn Context Aware Weapon Handling. In Proc. GAME-ON, pages 20-24, 2004.
C. Thurau, C. Bauckhage, and G. Sagerer. Imitation learning at all levels of game-AI. In Proc. Int. Conf. on Computer Games, Artificial Intelligence, Design and Education, pages 402-408, 2004.
D. Cheyne, J. Martinez-Trujillo, E. Simine, W. Gaetz, J. Tsotsos, Activation of MT/V5 and Inferior Parietal Lobe During the Detection of Changes in the Direction of Coherent Motion Stimuli, BIOMAG, 2004, Boston
E. Simine, W. Gaetz, D. Cheyne, J. K. Tsotsos and J. C. Martinez-Trujillo, MEG Study of Temporal Parameters and Localization of Brain Responses During the Detection of Transient Changes in the Direction of Moving Stimuli – Abstract for this poster (text format).
J. Gryn, Automated Surveillance Using Local Dominant Direction Templates, M.Sc. Thesis, Department of Computer Science, York University, 2004
J. K. Tsotsos, Distributed Saliency Computations Solve the Feature Binding Problem, Proc. ECCV WAPCV, Prague, May 15, 2004.
K. G. Derpanis, R. P. Wildes and J. K. Tsotsos, Hand Gesture Recognition within a Linguistics-Based Framework, European Conference on Computer Vision (ECCV), 2004 pp 282-296
K. Zhou, Modeling Motion with the Selective Tuning Model, M.Sc. Thesis, Department of Computer Science, York University, 2004
M. Tombu and J. K. Tsotsos, Attention to Orientation Results in an Inhibitory Surround in Orientation Space, CIHR IRSC, 2004

2003

A. J. Rodriguez-Sanchez, D. O. Cheyne, J. K. Tsotsos and J. C. Martinez-Trujillo, Speed Gradient Information Influences Optical Flow Processing in Human Observers
A. J. Rodriguez-Sanchez, J. K. Tsotsos and J. C. Martinez-Trujillo, Velocity Gradient Information Influences Optical Flow Processing In Human Observers
A. M. Rotenstein, A. L. Rothenstein and J. K. Tsotsos, “Mission-Directed Behaviour-Based Robots For Planetary Exploration”, Proc. i-SAIRAS’03, Nara, Japan, May 2003.
A. M. Rotenstein, Supporting Deliberation Within Behaviour Based Systems. M.Sc. Thesis, York University, Toronto, On. CA. 2003.
F. Cutzu, J.K. Tsotsos, The selective tuning model of visual attention: Testing the predictions arising from the inhibitory surround mechanism, Vision Research pp. 205 – 219, Jan. 2003.
Y. Zhu and J. K. Tsotsos, Hand Detection and Tracking in an Active Vision System

2002

A. L. Rothenstein, A Mission Plan Specification Language For Behaviour-Based Robots, MSc Thesis, University of Toronto, 2002.
A. L. Rothenstein, J. C. Martinez-Trujillo, S. Treue, J. K. Tsotsos and H. R. Wilson, Modeling Attentional Effects in Cortical Areas MT and MST of the Macaque Monkey through Feedback Loops, SFN 2002.
E. Simine, J. C. Martinez-Trujillo, M. Pomplun, K. Schreiber and J. K. Tsotsos, Integration Time For Detecting Transient Changes In The Direction Of Moving Stimuli Changes with Signal Intensity
J. K. Tsotsos, M. Pomplun, Y. Liu, J. Martinez-Trujillo, E. Simine, Attending to Motion: Localizing and Labelling Simple Motion Patterns in Image Sequences, Conference on Biologically-Motivated Computer Vision, Tuebingen, Germany, Nov 22 – 24, 2002.
M. Pomplun, Y. Liu, J. C. Martinez-Trujillo, E. Simine and J. K. Tsotsos, A Neurally-Inspired Model for Detecting and Localizing Motion Patterns in Image Sequences.
Y. Liu, Attending to and Localizing Simple Motion Patterns in an Image Sequence, M. Sc. Thesis, Department of Computer Science, York University, 2002

2001

J. K. Tsotsos, Complexity, Vision and Attention, Vision and Attention, ed. by L. Harris and M. Jenkin, Springer-Verlag New York, p105 – 128, 2001.
J. K. Tsotsos, S. Culhane, F. Cutzu, From Theoretical Foundations to a Hierarchical Circuit for Selective Attention, Visual Attention and Cortical Circuits, p. 285 – 306, ed. by J. Braun, C. Koch, and J. Davis, MIT Press, 2001.