Publications

Selected Paper Downloads

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2016

• 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.
•  I. Kotseruba, A. Rasouli and J. K. Tsotsos (2016), Joint Attention in Autonomous Driving (JAAD), arXiv:1609.04741, Sep.
• 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.

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.
• 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.
• 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.
• Tsotsos, J. K. (2015). Putting Saliency in its Place.
• A. Rasouli and J. K. Tsotsos (2015), Integrating Three Mechanisms of Visual Attention for Active

2014

• Tsotsos, J. K. (2014). It’s all about the constraints. Current Biology, 24(18), R854-R858.
• Tsotsos, J. (2014). What Does it Mean to Better Attend?. Journal of Vision, 14(10), 522-522.
• Wloka, C., Frosst, N., & Tsotsos, J. (2014). Salience Across Spatial Scales. Journal of Vision, 14(10), 1034-1034.
• 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.
• Wloka, C., Bruce, N., & Tsotsos, J. (2014). Boundary effects across filter spatial scales. BMC Neuroscience, 15(1), 1-1.
• Rothenstein, A. L., & Tsotsos, J. K. (2014). Attentional modulation and selection–an integrated approach. PloS one, 9(6), e99681.
• 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.
• Tsotsos, J. K. (2014). Tractability and Attention: Key Roles in Robotic Visual Search.
• Tsotsos, J. K., & Kruijne, W. (2014). Cognitive programs: software for attention’s executive. Frontiers in psychology, 5.

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.
• 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.

• Shi, X., Wang, B., Tsotsos, J.K., Early Recurrence Improves Edge Detection, British Machine Vision Conference, Bristol, UK, 9 – 13 Sept 2013.

• 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, 2013, p184-207.
  
• 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, 2013, p65-88.
  

• Rodriguez-Sanchez, A., Dudek, G., 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.

• 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.

• Rothenstein, A. L., & Tsotsos, J. K. (2013). Integrating attentional modulation with attentional selection.

• Wloka, C., & Tsotsos, J. (2013). Overt Fixations Reflect a Natural Central Bias. Journal of Vision, 13(9), 239-239.

• Tsotsos, J. K. (2013). Cognitive programs: towards an executive controller for visual attention. In Vision Sciences Society Annual Meeting 2013.

• Shi, X., Wang, B., & Tsotsos, J. K. (2013). Early recurrence improves edge detection. In Proceedings of the 24th British Machine Vision Conference.

• 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.

• 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.

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)
• 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.
• 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., 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
• 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
• 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.
• 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., Tsotsos, J.K., Visual Place Categorization in Indoor Environments, Canadian Conference on Computer and Robot Vision, May 2012, Toronto, Ont.
• Shi, X., Tsotsos, J.K., Improved Edge Representation via Early Recurrent Inhibition, Canadian Conference on Computer and Robot Vision, May 2012, Toronto, Ont.
• Shi, X., Bruce, N., Tsotsos, J.K., Biologically Motivated Local Contextual Modulation Improves Low-level Visual Feature Representation, ICIAR 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
• 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
• 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.
• 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

• CSE-2011-05. Wouter Kruijne and John K. Tsotsos. Visuo-cognitive Routines: reinterpreting the theory of visual routines as a framework for visual cognition.
• 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
• 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.
• 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.
• Tsotsos, J.K., A Computational Perspective on Visual Attention, The MIT Press, May 2011. click the book cover to enlarge
• 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.
• 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.
• 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

• Tsotsos, J.K., Re-Visiting Visual Routines: A White Paper, Dept of Computer Science and Engineering, Technical Report CSE-2010-11, York University, 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.
• 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.
• 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.
• 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.
• 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

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.
• 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.
• 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.
• 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
• 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.
• 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

2008

• Tsotsos, J.K., Bruce, N.D.B., Computational foundations for attentive processes,Scholarpedia 3(12):6545, 2008.
• 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
• 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.​
• 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.
• 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
• 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
• 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
• 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.
• 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.
• Tombu, M., Tsotsos, J.K., Attending to Orientation Results in an Inhibitory Surround in Orientation Space, Perception Psychophysics, 2008, 70 (1), 30-35.
• 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.
• Tsotsos, J.K., What Roles can Attention Play in Recognition?, 7th International Conference on Development and Learning, Monterey, California, August 9-12, 2008.
• Andreopoulos, A., Tsotsos, J.K., Active Vision for Door Localization and Door Opening using Playbot: A Computer Controlled Wheelchair for People with Mobility Impairments, Fifth Canadian Conference on Computer and Robot Vision, Windsor, Ont., May 28-30, 2008. (Best Robot Vision Paper Prize)
• Bruce, N., 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.
• 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.
• 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.

2007

• K. Derpanis, E. Leung and M. Sizintsev, Fast Scale-space Feature Representations by Generalized Integral Images, Technical Report CSE-2007-01
• K. G. Derpanis, E. T. H. Leung and M. Sizintsev, Fast Scale-Space Feauture Representations by Generalized Integral Images, ICIP
• Fazl-Ersi, E., Zelek, J.S., Tsotsos, J.K., Robust Face Recognition through Local Graph Matching, J. Multimedia, 2(4), 2007.
• Rodriguez-Sanchez, A.J., Simine, E., Tsotsos., J.K., Attention And Visual Search, Int. J. Neural Systems,2007 Aug;17(4):275-88.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• K. Shubina, Sensor Planning for 3D Object Search, M.Sc. Thesis, Department of Computer Science and Engineering, York University, 2007

2006

• K. Derpanis, Characterizing Image Motion, Technical Report CSE-2006-06
• N. Mekuz, K. Derpanis and J. K. Tsotsos, Adaptive Step Size Window Matching for Detection, ICPR 2006
• A.J. Rodríguez-Sánchez, E. Simine, J.K. Tsotsos, Feature conjunctions in Visual Search, ICANN 2006
• N. Mekuz and J. K. Tsotsos, Parameterless Isomap with Adaptive Neighborhood Selection, DAGM 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
• 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.
• 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

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.
• 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
• 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.
• C. Bauckhage and J. K. Tsotsos, Separable Linear Discriminant Classification, DAGM 2005
• N. Mekuz, C. Bauckhage and J. K. Tsotsos, Face Recognition with Weighted Locally Linear Embedding, CRV 2005
• A. Andreopoulos and J. K. Tsotsos, Resampling 4-D Images Using Adaptive Filtering, CRV 2005
• N. Bruce and J. K. Tsotsos, An Attentional Framework for Stereo Vision, CRV 2005
• C. Bauckhage, J. K. Tsotsos and F. Bunn, Detecting abnormal Gait, CRV 2005 (Received Best Paper at Conference Prize).
• 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
• Leung, E., Tsotsos, J.K., Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images, IEEE Int. Conference on Computer Vision, Beijing, 2005.
• Bruce, N., Tsotsos, J.K., A Statistical Basis for Visual Field Anisotropies, Computational Neuroscience, CNS 2005, July 17 – 21, Madison, WI.
• 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).
• 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.
• 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.

2004

• J. K. Tsotsos, Distributed Saliency Computations Solve the Feature Binding Problem, Proc. ECCV WAPCV, Prague, May 15, 2004.
• A. Zaharescu, A. Rothenstein, J. K. Tsotsos, Towards a Biologically Plausible Active Visual Search Model Proc. ECCV WAPCV2004, Prague, May 15, 2004.
• A. Zaharescu, Towards a Biologically Plausible Active Visual Search Model, M.Sc. Thesis, Department of Computer Science, York University, 2004
• J. Gryn, Automated Surveillance Using Local Dominant Direction Templates, M.Sc. Thesis, Department of Computer Science, York University, 2004
• ​K. Zhou, Modeling Motion with the Selective Tuning Model, M.Sc. Thesis, Department of Computer Science, York University, 2004
• 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).
• A. L. Rothenstein, A. Zaharescu and J. K. Tsotsos, A General Purpose Neural Network Simulator for Visual Attention Modeling, WAPCV 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
• 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
• M. Tombu and J. K. Tsotsos, Attention to Orientation Results in an Inhibitory Surround in Orientation Space, CIHR IRSC, 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
• 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.
• A. L. Rothenstein, A. Zaharescu and J. K. Tsotsos: TarzaNN: A General Purpose Neural Network Simulator for Visual Attention Modeling, ECCV 2004.

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.
• 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 Y. Zhu and J. K. Tsotsos, Hand Detection and Tracking in an Active Vision System
• A. M. Rotenstein, Supporting Deliberation Within Behaviour Based Systems. M.Sc. Thesis, York University, Toronto, On. CA. 2003.
• 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.

2002

• 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.
• Y. Liu, Attending to and Localizing Simple Motion Patterns in an Image Sequence, M. Sc. Thesis, Department of Computer Science, York University, 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 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
• 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.

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.