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(Vision)
 
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= Selected Publications =  
= Selected Publications =  
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* H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin, S. Kalkan, "Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation", IEEE Transactions on Autonomous Mental Development (TAMD), (accepted with revision), 2015. Available as a technical report: [http://kovan.ceng.metu.edu.tr/~sinan/publications/METU-CENG-TR-2015-01.pdf METU-CENG-TR-2015-01].
+
* I. Bozcan, S. Kalkan, "COSMO: Contextualized Scene Modeling with Boltzmann Machines", Robotics and Autonomous Systems journal, submitted, 2018. [https://arxiv.org/abs/1807.00511 Arxiv][https://github.com/bozcani/COSMO WWW]
 +
 
 +
* K. Oksuz, B. C. Cam, E. Akbas, S. Kalkan, "Localization Recall Precision (LRP): A New Performance Metric for Object Detection", European Conference on Computer Vision (ECCV), accepted, 2018. [https://arxiv.org/abs/1807.01696 Arxiv][https://github.com/cancam/LRP WWW]
 +
 
 +
* F. I. Dogan, I. Bozcan, M. Celik, S. Kalkan, "CINet: A Learning Based Approach to Incremental Context Modeling in Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2018. [https://arxiv.org/abs/1710.04981 Arxiv][https://github.com/cancam/LRP WWW]
 +
 
 +
* O. Tursun, C. Aker, S. Kalkan, "A Large-scale Dataset and Benchmark for Similar Trademark Retrieval", major revision.  [https://arxiv.org/abs/1701.05766 Arxiv][http://kovan.ceng.metu.edu.tr/LogoDataset/ METU Trademark Retrieval Dataset].
 +
 
 +
* I. Bozcan, S. Kalkan, "What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling", International Conference on Robotics and Automation (ICRA), 2018. [https://arxiv.org/abs/1710.05664 Arxiv][https://bozcani.github.io/A%20Hybrid%20Deep%20Boltzmann%20Machine%20for%20Contextual%20Scene%20Modeling.html WWW]
 +
 
 +
* I. Dogan, S. Kalkan, "A Deep Incremental Boltzmann Machine for Modeling Context in Robots", International Conference on Robotics and Automation (ICRA), 2018. [https://arxiv.org/abs/1710.04975 Arxiv][https://irmakdogan.github.io/irmak/A%20Deep%20Incremental%20Boltzmann%20Machine%20for%20Modeling%20Context%20in%20Robots.html WWW]
 +
 
 +
* C. Aker, S. Kalkan, "Using Deep Networks for Drone Detection", International Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques organised within AVSS, 2017. [https://arxiv.org/abs/1706.05726 Arxiv]
 +
 
 +
* M. Yaman, S. Kalkan, "Performance Evaluation of similarity measures for dense multimodal stereo vision", J. Electron. Imaging 25(3), 033013, 2016.  [http://kovan.ceng.metu.edu.tr/~sinan/publications/Yaman2016_JEI.pdf Preprint][http://electronicimaging.spiedigitallibrary.org/article.aspx?articleid=2528400 Publisher's Website].
 +
 
 +
* H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin, S. Kalkan, "Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation", IEEE Transactions on Cognitive and Developmental Systems, 8(1):42-59, 2016. [http://kovan.ceng.metu.edu.tr/~sinan/publications/METU-CENG-TR-2015-01.pdf Technical Report][http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7239534 Publisher's Website].
* H. Celikkanat, G. Orhan, S. Kalkan, "A Probabilistic Concept Web in a Humanoid Robot", IEEE Transactions on Autonomous Mental Development (TAMD), (7)2:92-106, 2015. [http://kovan.ceng.metu.edu.tr/~sinan/publications/2015-TAMD-Celikkanat-Concept.pdf Preprint][http://dx.doi.org/10.1109/TAMD.2015.2418678 Publisher's Website]
* H. Celikkanat, G. Orhan, S. Kalkan, "A Probabilistic Concept Web in a Humanoid Robot", IEEE Transactions on Autonomous Mental Development (TAMD), (7)2:92-106, 2015. [http://kovan.ceng.metu.edu.tr/~sinan/publications/2015-TAMD-Celikkanat-Concept.pdf Preprint][http://dx.doi.org/10.1109/TAMD.2015.2418678 Publisher's Website]
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Publications sorted by year:
Publications sorted by year:
-
* 2015-2010: [[#2015|2015]],[[#2014|2014]],[[#2013|2013]],[[#2012|2012]], [[#2011|2011]], [[#2010|2010]]
+
* 2018-2010: [[#2018|2018]],[[#2017|2017]],[[#2016|2016]],[[#2015|2015]],[[#2014|2014]],[[#2013|2013]],[[#2012|2012]], [[#2011|2011]], [[#2010|2010]]
* 2009-2000:  [[#2009|2009]],  [[#2008|2008]], [[#2007|2007]], [[#2006|2006]], [[#2005|2005]], [[#2004|2004]], [[#2003|2003]], [[#2002 (Before foundation of the lab) |2002]], [[#2001|2001]], [[#2000|2000]],  
* 2009-2000:  [[#2009|2009]],  [[#2008|2008]], [[#2007|2007]], [[#2006|2006]], [[#2005|2005]], [[#2004|2004]], [[#2003|2003]], [[#2002 (Before foundation of the lab) |2002]], [[#2001|2001]], [[#2000|2000]],  
*2000-1997:  [[#1999|1999]], [[#1998|1998]], [[#1997|1997]]
*2000-1997:  [[#1999|1999]], [[#1998|1998]], [[#1997|1997]]
 +
 +
==2018==
 +
* I. Bozcan, S. Kalkan, "COSMO: Contextualized Scene Modeling with Boltzmann Machines", Robotics and Autonomous Systems journal, submitted, 2018. [https://arxiv.org/abs/1807.00511 Arxiv][https://github.com/bozcani/COSMO WWW]
 +
 +
* K. Oksuz, B. C. Cam, E. Akbas, S. Kalkan, "Localization Recall Precision (LRP): A New Performance Metric for Object Detection", European Conference on Computer Vision (ECCV), accepted, 2018. [https://arxiv.org/abs/1807.01696 Arxiv][https://github.com/cancam/LRP WWW]
 +
 +
* F. I. Dogan, I. Bozcan, M. Celik, S. Kalkan, "CINet: A Learning Based Approach to Incremental Context Modeling in Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2018. [https://arxiv.org/abs/1710.04981 Arxiv][https://github.com/cancam/LRP WWW]
 +
 +
* O. Tursun, C. Aker, S. Kalkan, "A Large-scale Dataset and Benchmark for Similar Trademark Retrieval", major revision.  [https://arxiv.org/abs/1701.05766 Arxiv][http://kovan.ceng.metu.edu.tr/LogoDataset/ METU Trademark Retrieval Dataset].
 +
 +
* I. Bozcan, S. Kalkan, "What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling", International Conference on Robotics and Automation (ICRA), 2018. [https://arxiv.org/abs/1710.05664 Arxiv][https://bozcani.github.io/A%20Hybrid%20Deep%20Boltzmann%20Machine%20for%20Contextual%20Scene%20Modeling.html WWW]
 +
 +
* I. Dogan, S. Kalkan, "A Deep Incremental Boltzmann Machine for Modeling Context in Robots", International Conference on Robotics and Automation (ICRA), 2018. [https://arxiv.org/abs/1710.04975 Arxiv][https://irmakdogan.github.io/irmak/A%20Deep%20Incremental%20Boltzmann%20Machine%20for%20Modeling%20Context%20in%20Robots.html WWW]
 +
 +
==2017==
 +
 +
* C. Aker, S. Kalkan, "Using Deep Networks for Drone Detection", International Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques organised within AVSS, 2017. [https://arxiv.org/abs/1706.05726 Arxiv]
 +
 +
* Coluccia et al., "Drone-vs-Bird detection challenge at IEEE AVSS2017", International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017. [https://doi.org/10.1109/AVSS.2017.8078464 Publisher's site]
 +
 +
* U. A. Aydin, S. Kalkan, C. Acarturk, "Dynamic Gaze Analysis", International Artificial Intelligence and Data Processing Symposium, 2017 (in Turkish). [http://kovan.ceng.metu.edu.tr/~sinan/publications/ArslanKalkanAcarturk-IDAP2017.pdf PDF]
 +
 +
* U. A. Aydin, S. Kalkan, C. Acarturk, "A Gaze-Centered Multimodal Approach to Human-Human Social Interaction", 3rd IEEE International Conference on Cybernetics Workshop on Cognition in Mixed Realities, Exeter, UK, 2017. (PDF)
 +
 +
* C. Aker, O. Tursun, S. Kalkan, "Analyzing Deep Features for Trademark Retrieval", 25th Conference on Signal Processing and Applications (SIU), Turkey, 2017 (in Turkish). [http://kovan.ceng.metu.edu.tr/~sinan/publications/AkerTursunKalkan_SIU2017.pdf PDF]
 +
 +
* F. I. Dogan, S. Kalkan, "Hierarchical Context Modeling Using Incremental Deep Boltzmann Machines", Technical Report No: METU-CENG-TR-2017-01, Dept. of Computer Engineering, Middle East Technical University, 2017. [http://kovan.ceng.metu.edu.tr/~sinan/publications/DoganKalkan-METU-CENG-TR-2017-01.pdf PDF]
 +
 +
* I. Bozcan, S. Kalkan, "Combining Different Knowledge-bases into a Single Partially-grounded Robotic Knowledge-base", Technical Report No: METU-CENG-TR-2017-02, Dept. of Computer Engineering, Middle East Technical University, 2017. [http://kovan.ceng.metu.edu.tr/~sinan/publications/BozcanKalkan-METU-CENG-TR-2017-02.pdf PDF]
 +
 +
* M. Celik, S. Kalkan, "An Approach to Modeling Context Using Semantic Maps", Technical Report No: METU-CENG-TR-2017-03, Dept. of Computer Engineering, Middle East Technical University, 2017. [http://kovan.ceng.metu.edu.tr/~sinan/publications/CelikKalkan-METU-CENG-TR-2017-03.pdf PDF]
 +
 +
==2016==
 +
 +
* M. Yaman, S. Kalkan, "Performance Evaluation of similarity measures for dense multimodal stereo vision", J. Electron. Imaging 25(3), 033013, 2016.  [http://kovan.ceng.metu.edu.tr/~sinan/publications/Yaman2016_JEI.pdf Preprint][http://electronicimaging.spiedigitallibrary.org/article.aspx?articleid=2528400 Publisher's Website].
 +
 +
* H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin, S. Kalkan, "Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation", IEEE Transactions on Cognitive and Developmental Systems, 8(1):42-59, 2016.  [http://kovan.ceng.metu.edu.tr/~sinan/publications/METU-CENG-TR-2015-01.pdf Technical Report][http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7239534 Publisher's Website].
 +
 +
* F. I. Dogan, S. Kalkan, "The hierarchical nature of context", Turkiye Robotbilim Konferansi (ToRK), Istanbul Gedik University Publications, ISBN: 9786058557215, pp. 48-51, 2-3 November, 2016 (in Turkish) [http://kovan.ceng.metu.edu.tr/~sinan/publications/DoganKalkan-TORK2016.pdf PDF]
 +
 +
* M. Celik, S. Kalkan, "Contexts and concepts in robots: Too far, too close", Turkiye Robotbilim Konferansi (ToRK), Istanbul Gedik University Publications, ISBN: 9786058557215, pp. 52-55, 2-3 November, 2016 (in Turkish) [http://kovan.ceng.metu.edu.tr/~sinan/publications/CelikKalkan-TORK2016.pdf PDF]
==2015==
==2015==
Line 331: Line 388:
== Cognitive Robotics ==
== Cognitive Robotics ==
-
* H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin, S. Kalkan, "Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation", IEEE Transactions on Autonomous Mental Development (TAMD), (accepted with revision), 2015. Available as a technical report: [http://kovan.ceng.metu.edu.tr/~sinan/publications/METU-CENG-TR-2015-01.pdf METU-CENG-TR-2015-01].
+
 
 +
* I. Bozcan, S. Kalkan, "COSMO: Contextualized Scene Modeling with Boltzmann Machines", Robotics and Autonomous Systems journal, submitted, 2018. [https://arxiv.org/abs/1807.00511 Arxiv][https://github.com/bozcani/COSMO WWW]
 +
 
 +
* F. I. Dogan, I. Bozcan, M. Celik, S. Kalkan, "CINet: A Learning Based Approach to Incremental Context Modeling in Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2018. [https://arxiv.org/abs/1710.04981 Arxiv][https://github.com/cancam/LRP WWW]
 +
 
 +
* I. Bozcan, S. Kalkan, "What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling", International Conference on Robotics and Automation (ICRA), 2018. [https://arxiv.org/abs/1710.05664 Arxiv][https://bozcani.github.io/A%20Hybrid%20Deep%20Boltzmann%20Machine%20for%20Contextual%20Scene%20Modeling.html WWW]
 +
 
 +
* I. Dogan, S. Kalkan, "A Deep Incremental Boltzmann Machine for Modeling Context in Robots", International Conference on Robotics and Automation (ICRA), 2018. [https://arxiv.org/abs/1710.04975 Arxiv][https://irmakdogan.github.io/irmak/A%20Deep%20Incremental%20Boltzmann%20Machine%20for%20Modeling%20Context%20in%20Robots.html WWW]
 +
 
 +
* U. A. Aydin, S. Kalkan, C. Acarturk, "Dynamic Gaze Analysis", International Artificial Intelligence and Data Processing Symposium, 2017 (in Turkish). [http://kovan.ceng.metu.edu.tr/~sinan/publications/ArslanKalkanAcarturk-IDAP2017.pdf PDF]
 +
 
 +
* U. A. Aydin, S. Kalkan, C. Acarturk, "A Gaze-Centered Multimodal Approach to Human-Human Social Interaction", 3rd IEEE International Conference on Cybernetics Workshop on Cognition in Mixed Realities, Exeter, UK, 2017. (PDF)
 +
 
 +
* F. I. Dogan, S. Kalkan, "Hierarchical Context Modeling Using Incremental Deep Boltzmann Machines", Technical Report No: METU-CENG-TR-2017-01, Dept. of Computer Engineering, Middle East Technical University, 2017. [http://kovan.ceng.metu.edu.tr/~sinan/publications/DoganKalkan-METU-CENG-TR-2017-01.pdf PDF]
 +
 
 +
* I. Bozcan, S. Kalkan, "Combining Different Knowledge-bases into a Single Partially-grounded Robotic Knowledge-base", Technical Report No: METU-CENG-TR-2017-02, Dept. of Computer Engineering, Middle East Technical University, 2017. [http://kovan.ceng.metu.edu.tr/~sinan/publications/BozcanKalkan-METU-CENG-TR-2017-02.pdf PDF]
 +
 
 +
* M. Celik, S. Kalkan, "An Approach to Modeling Context Using Semantic Maps", Technical Report No: METU-CENG-TR-2017-03, Dept. of Computer Engineering, Middle East Technical University, 2017. [http://kovan.ceng.metu.edu.tr/~sinan/publications/CelikKalkan-METU-CENG-TR-2017-03.pdf PDF]
 +
 
 +
* H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin, S. Kalkan, "Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation", IEEE Transactions on Cognitive and Developmental Systems, 8(1):42-59, 2016. [http://kovan.ceng.metu.edu.tr/~sinan/publications/METU-CENG-TR-2015-01.pdf Technical Report][http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7239534 Publisher's Website].
 +
 
 +
* F. I. Dogan, S. Kalkan, "The hierarchical nature of context", Turkiye Robotbilim Konferansi (ToRK), Istanbul Gedik University Publications, ISBN: 9786058557215, pp. 48-51, 2-3 November, 2016 (in Turkish) [http://kovan.ceng.metu.edu.tr/~sinan/publications/DoganKalkan-TORK2016.pdf PDF]
 +
 
 +
* M. Celik, S. Kalkan, "Contexts and concepts in robots: Too far, too close", Turkiye Robotbilim Konferansi (ToRK), Istanbul Gedik University Publications, ISBN: 9786058557215, pp. 52-55, 2-3 November, 2016 (in Turkish) [http://kovan.ceng.metu.edu.tr/~sinan/publications/CelikKalkan-TORK2016.pdf PDF]
* H. Celikkanat, G. Orhan, S. Kalkan, "A Probabilistic Concept Web in a Humanoid Robot", IEEE Transactions on Autonomous Mental Development (TAMD), (7)2:92-106, 2015. [http://kovan.ceng.metu.edu.tr/~sinan/publications/2015-TAMD-Celikkanat-Concept.pdf Preprint][http://dx.doi.org/10.1109/TAMD.2015.2418678 Publisher's Website]
* H. Celikkanat, G. Orhan, S. Kalkan, "A Probabilistic Concept Web in a Humanoid Robot", IEEE Transactions on Autonomous Mental Development (TAMD), (7)2:92-106, 2015. [http://kovan.ceng.metu.edu.tr/~sinan/publications/2015-TAMD-Celikkanat-Concept.pdf Preprint][http://dx.doi.org/10.1109/TAMD.2015.2418678 Publisher's Website]
Line 432: Line 512:
== Vision ==  
== Vision ==  
 +
 +
* K. Oksuz, B. C. Cam, E. Akbas, S. Kalkan, "Localization Recall Precision (LRP): A New Performance Metric for Object Detection", European Conference on Computer Vision (ECCV), accepted, 2018. [https://arxiv.org/abs/1807.01696 Arxiv][https://github.com/cancam/LRP WWW]
 +
 +
* O. Tursun, C. Aker, S. Kalkan, "A Large-scale Dataset and Benchmark for Similar Trademark Retrieval", major revision.  [https://arxiv.org/abs/1701.05766 Arxiv][http://kovan.ceng.metu.edu.tr/LogoDataset/ METU Trademark Retrieval Dataset].
 +
 +
* C. Aker, S. Kalkan, "Using Deep Networks for Drone Detection", International Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques organised within AVSS, 2017. [https://arxiv.org/abs/1706.05726 Arxiv]
 +
 +
* Coluccia et al., "Drone-vs-Bird detection challenge at IEEE AVSS2017", International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017. [https://doi.org/10.1109/AVSS.2017.8078464 Publisher's site]
 +
 +
* C. Aker, O. Tursun, S. Kalkan, "Analyzing Deep Features for Trademark Retrieval", 25th Conference on Signal Processing and Applications (SIU), Turkey, 2017 (in Turkish). [http://kovan.ceng.metu.edu.tr/~sinan/publications/AkerTursunKalkan_SIU2017.pdf PDF]
 +
 +
* M. Yaman, S. Kalkan, "Performance Evaluation of similarity measures for dense multimodal stereo vision", J. Electron. Imaging 25(3), 033013, 2016.  [http://kovan.ceng.metu.edu.tr/~sinan/publications/Yaman2016_JEI.pdf Preprint][http://electronicimaging.spiedigitallibrary.org/article.aspx?articleid=2528400 Publisher's Website].
 +
 +
* O. Oztimur, M. A. Akkus, S. Kalkan, "An MRF Framework for Co-Solving Image Segmentation and Border Ownership", IEEE 23rd Conference on Signal Processing and Communication Applications, Malatya, Turkey, 2015 (in Turkish). [http://kovan.ceng.metu.edu.tr/~sinan/publications/BO_Segmentation_v2.pdf pdf]
 +
 +
* W. Tuerxun, S. Kalkan, "A Challenging Big Dataset for Benchmarking Trademark Retrieval", 14th IAPR Conference on Machine Vision and Applications, Tokyo, 2015. [http://kovan.ceng.metu.edu.tr/~sinan/publications/MVA15_0154_MS.pdf pdf][http://kovan.ceng.metu.edu.tr/LogoDataset/ METU Trademark Dataset]
* I. Atil, S. Kalkan, "Towards an Embodied Developing Vision System", Kuenstliche Intelligenz (German Journal of Artificial Intelligence), Invited for a special issue on "Bio-inspired Vision Systems", Springer Berlin Heidelberg, (in press), 2015. [http://www.kovan.ceng.metu.edu.tr/~sinan/publications/AtilKalkan_KI2015.pdf Preprint][http://dx.doi.org/10.1007/s13218-015-0351-6 Publisher's Website]
* I. Atil, S. Kalkan, "Towards an Embodied Developing Vision System", Kuenstliche Intelligenz (German Journal of Artificial Intelligence), Invited for a special issue on "Bio-inspired Vision Systems", Springer Berlin Heidelberg, (in press), 2015. [http://www.kovan.ceng.metu.edu.tr/~sinan/publications/AtilKalkan_KI2015.pdf Preprint][http://dx.doi.org/10.1007/s13218-015-0351-6 Publisher's Website]

Current revision as of 11:08, 23 July 2018

  • I. Bozcan, S. Kalkan, "COSMO: Contextualized Scene Modeling with Boltzmann Machines", Robotics and Autonomous Systems journal, submitted, 2018. ArxivWWW
  • K. Oksuz, B. C. Cam, E. Akbas, S. Kalkan, "Localization Recall Precision (LRP): A New Performance Metric for Object Detection", European Conference on Computer Vision (ECCV), accepted, 2018. ArxivWWW
  • F. I. Dogan, I. Bozcan, M. Celik, S. Kalkan, "CINet: A Learning Based Approach to Incremental Context Modeling in Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2018. ArxivWWW
  • I. Bozcan, S. Kalkan, "What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling", International Conference on Robotics and Automation (ICRA), 2018. ArxivWWW
  • I. Dogan, S. Kalkan, "A Deep Incremental Boltzmann Machine for Modeling Context in Robots", International Conference on Robotics and Automation (ICRA), 2018. ArxivWWW
  • C. Aker, S. Kalkan, "Using Deep Networks for Drone Detection", International Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques organised within AVSS, 2017. Arxiv
  • M. Yaman, S. Kalkan, "Performance Evaluation of similarity measures for dense multimodal stereo vision", J. Electron. Imaging 25(3), 033013, 2016. PreprintPublisher's Website.
  • H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin, S. Kalkan, "Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation", IEEE Transactions on Cognitive and Developmental Systems, 8(1):42-59, 2016. Technical ReportPublisher's Website.
  • H. Celikkanat, G. Orhan, S. Kalkan, "A Probabilistic Concept Web in a Humanoid Robot", IEEE Transactions on Autonomous Mental Development (TAMD), (7)2:92-106, 2015. PreprintPublisher's Website
  • H. Celikkanat, E. Sahin, S. Kalkan, "Integrating Spatial Concepts into a Probabilistic Concept Web", 17th International Conference on Advanced Robotics (ICAR), IEEE, Istanbul, 2015. pdf
  • S. Kalkan, N. Dag, O. Yuruten, A. M. Borghi, E. Sahin, "Verb Concepts from Affordances", Interaction Studies Journal, 15(1):1-37, 2014. PreprintPublisher's webpage
  • O. Yuruten, E. Sahin, S. Kalkan, "The Learning of Adjectives and Nouns from Affordance and Appearance Features", Adaptive Behavior, 21(6):437-451, 2013. PreprintPublisher
  • N. Krueger, P. Janssen, S. Kalkan, M. Lappe, A. Leonardis, J. Piater, A. J. Rodriguez-Sanchez, L. Wiskott, "Deep Hierarchies in the Primate Visual Cortex: What Can We Learn For Computer Vision?", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 35(8):1847-1871, August 2013. Preprint
  • E. Ugur, E. Oztop, E. Sahin (2009). Affordance learning from range data for multi-step planning. Proc. of the Ninth Intl. Conf. on Epigenetic Robotics (Epirob'09), Lund University Cognitive Science Studies, 146, pp. 177-184.Earlier version also available as: pdf.
  • Sahin E., Cakmak M., Dogar M.R., Ugur E. and Ucoluk G. (2007) .To afford or not to afford: A new formalization of affordances towards affordance-based robot control. Adaptive Behavior, Vol. 15, No. 4, 447-472. Early version available as METU-CENG-TR-2006-02 in pdf. Also available as web page
  • Dorigo M., Trianni V., Sahin E., Gross R., Labella T., Baldassarre, Nolfi S., Deneubourg J.-L., Mondada F., Floreano D., and Gambardella L. (2004). Evolving Self-Organizing Behaviors for a Swarm-Bot, Autonomous Robots. volume 17, pages 223-245.
  • Bahceci E., Soysal O., Sahin E. (2003) A Review: Pattern Formation and Adaptation in Multi-Robot Systems. Technical Report CMU-RI-TR-03-43. Carnegie Mellon Univ, Pittsburgh, PA, USA.

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