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Sinan KALKAN's Research



Datasets
Publications   

Book, Edited Volume

  • Proceedings of the 17th International Conference on Advanced Robotics (ICAR), Editors: S. Kalkan, U. Saranli, 27-31 July, 2015, IEEE (IEEEXplore page)

2024

  • F. Yavuz, B. C. Cam, A. H. Dogan, K. Oksuz, E. Akbas*, S. Kalkan*, "Bucketed Ranking-based Losses for Efficient Training of Object Detectors", 18th European Conference on Computer Vision (ECCV), 2024. *Equal senior contribution.

  • L. Naik, S. Kalkan, S. L. Sorensen, M. B. Kjaergaard, N. Kruger, "BaSeNet: A Learning-based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.

  • J. Cheong, S. Kalkan, H. Gunes, "FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection", 32nd Int. Joint Conf. on Artificial Intelligence (IJCAI), 2024.

  • B. Cetinkaya, S. Kalkan*, E. Akbas*, "RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Preprint | (Publisher's webpage | Code)

  • O. Tuzcuoglu, A. Koksal, B. Sofu, S. Kalkan, A. Alatan, "XoFTR: Cross-modal Feature Matching Transformer", CVPR Workshop on Image Matching: Local Features and Beyond, 2024. (Preprint | Code)

  • L. Naik, S. Kalkan, N. Kruger, "Pre-grasp approaching on mobile robots: a pre-active layered approach", IEEE Robotics and Automation Letters (RAL), 9(3):2606-2613,, 2024. (Publisher's webpage | Code)

  • M. Han, I. Canli, J. Shah, X. Zhang, I. Dino, S. Kalkan, "Perspectives of machine learning and natural language processing on characterizing positive energy districts", Buildings, 14(2), 371, 2024. (Publisher's webpage)

2023

  • S. Kuzucu, J. Cheong, H. Gunes, S. Kalkan, "Uncertainty-based Fairness Measures", Arxiv, 2023. (Arxiv)

  • Z. S. Baltaci, K. Oksuz, S. Kuzucu, K. Tezoren, B. K. Konar, A. Ozkan, E. Akbas*, S. Kalkan*, "Class Uncertainty: A Measure to Mitigate Class Imbalance", under review, 2023. (Arxiv)
    *Equal senior contribution.

  • E. G. Halacli, I. Canli, O. K. Iseri, F. Yavuz, C. M. Akgul, S. Kalkan, I. G. Dino, "A Novel Graph Neural Network for Zone-Level Urban-Scale Building Energy Use Estimation", 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023. (Publisher's webpage)

  • P. U. Hatipoglu, C. Iyigun, S. Kalkan, "Crowd-aware Thresholded Loss for Object Detection in Wide Area Motion Imagery", PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, in press, 2023. (Publisher's webpage)

  • A. U. G. Senocak, M. T. Yilmaz, S. Kalkan, I. Yucel, M. Amjad, "An explainable two-stage machine learning approach for precipitation forecast", Journal of Hydrology, 627(A), 130375, 2023. (Publisher's webpage)

  • I. H. Kocdemir, A. Koz, A. O. Akyuz, A. Chalmers, A. Alatan, S. Kalkan, "TMO-Det: Deep Tone-mapping Optimized with and for Object Detection", Pattern Recognition Letters, 172:230-236, 2023. (Preprint | Publisher's webpage)

  • J. Cheong, S. Kuzucu, S. Kalkan, H. Gunes, "Towards Gender Fairness for Mental Health Prediction", 32nd Int. Joint Conf. on Artificial Intelligence (IJCAI), 2023. (Preprint | Publisher's webpage)

  • Y. Terzioglu, O. Aslan, B. Bolat, B. Bal, T. Tumer, F. C. Kurnaz, S. Kalkan, E. Sahin, "APPRENTICE: Advances towards the development of a Cobot Helper in Assembly Lines", CH10 of Human-Robot Collaboration: Unlocking the potential for industrial applications, IET Press, Editors: Z. Doulgeri, F. Dimeas, in press, ISBN: 9781839535987, 2023. (Publisher's webpage)

  • I. Canli, S. Kalkan, I. G. Dino, "Useful Daylight Illuminance Prediction Under Data Imbalance in an Urban Context", 41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023. (Publisher's webpage)

  • F. Kahraman, K. Oksuz, S. Kalkan*, E. Akbas*, "Correlation Loss: Enforcing Correlation between Classification and Localization", Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023. (Arxiv | Publisher's webpage) | Code)

  • N. Churamani, J. Cheong, S. Kalkan, H. Gunes, "Towards Causal Replay for Knowledge Rehearsal in Continual Learning", In the Continual Causality Bridge Program at AAAI Conference on Artificial Intelligence (AAAI), spotlight oral, 2023. (Preprint | Publisher's webpage)

  • J. Cheong, S. Kalkan, H. Gunes, "Causal Structure Learning of Bias for Fair Affect Recognition", The Fourth Workshop on Demographic Variations in Performance of Biometrics and Related Technology, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023) Workshops, 2023. (Preprint | Publisher's webpage)

2022

  • K. Oksuz, B. C. Cam, S. Kalkan*, E. Akbas*, "One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 44(12):9446-9463, 2022. (Arxiv | Publisher's webpage | Code)
    *Equal senior contribution.

  • O. Aslan, B. Bolat, B. Bal, T. Tumer, E. Sahin, S. Kalkan, "AssembleRL: Learning to Assemble Furniture from Their Point Clouds", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. (Arxiv | Publisher's Page | Code)

  • J. Cheong, S. Kalkan, H. Gunes, "Counterfactual Fairness for Facial Expression Recogntion", ECCV 2022 Workshop and Challenge on People Analysis: From Face, Body and Fashion to 3D Virtual Avatars, 2022. (Publisher's Page)

  • I.H. Kocdemir, A.O. Akyuz, A. Koz, A. Chalmers, A. Alatan, S. Kalkan, "Object Detection for Autonomous Driving: High-Dynamic Range vs. Low-Dynamic Range Images", IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), 2022. (Publisher's Page)

  • F. Yavuz, S. Kalkan, "Segment Augmentation and Differentiable Ranking for Logo Retrieval", 26th International Conference on Pattern Recognition (ICPR), 2022. (Arxiv | Publisher's Page)

  • S. E. Kucukbay, A. Yazici, S. Kalkan, "Hand-crafted versus Learned Representations for Audio Event Detection", Multimedia Tools and Applications, 81:30911-30930, 2022. (Publisher's Page)

  • I. G. Dino, E. Kalfaoglu, O. K. Iseri, B. Erdogan, S. Kalkan, A. Alatan, "Vision-based estimation of the number of occupants using video cameras", Advanced Engineering Informatics, 53:101662, 2022. (Publisher's Page)

  • B. Cetinkaya, S. Kalkan, E. Akbas, "Does Depth Estimation Help Object Detection?", Image and Vision Computing, 122(104427):1-12, 2022. (Arxiv | Publisher's Page)

  • J. Tjomsland, S. Kalkan, H. Gunes, "Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions", Frontiers in Robotics and AI, Special Issue on Lifelong Learning and Long-term Human-Robot Interaction, 9:1-18,2022. (Publisher's Page | Code)

2021

  • N. Churamani, S. Kalkan, H. Gunes, "Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks", IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021. (Preprint | Publisher's Page)

  • J. Cheong, S. Kalkan, H. Gunes, "The Hitchhiker's Guide to Bias and Fairness in Facial Affective Signal Processing", IEEE Signal Processing Magazine, 38(6):39-49, 2021. (Preprint | Publisher's Page)

  • K. Oksuz, B. C. Cam, F. Kahraman, Z. S. Baltaci, S. Kalkan*, E. Akbas, "Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation", British Machine Vision Conference (BMVC), 2021. (Arxiv | Code)
    *Equal senior contribution.

  • K. Oksuz, B. C. Cam, E. Akbas*, S. Kalkan*, "Rank & Sort Loss for Object Detection and Instance Segmentation", International Conference on Computer Vision (ICCV), oral presentation, 2021. (Arxiv | Code)
    *Equal senior contribution.

  • A. Koz, B. Demirkilic, Y. B. Kurt, A. O. Akyuz, S. Kalkan, A. Alatan, A. Chalmers, "HDR Image Construction from Trifocal Multiexposure Images", IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 2021. (Publisher's Page)

  • H. I. Ugurlu, S. Kalkan, A. Saranli, "Reinforcement Learning versus Conventional Control for Controlling a Planar Bi-rotor Platform with Tail Appendage", Journal of Intelligent & Robotic Systems, 102(77), 2021. (Publisher's Page)

  • U. A. Aydin, S. Kalkan, C. Acarturk, "Speech Driven Gaze in a Face-to-Face Interaction", Frontiers in Neurorobotics, 15:8, 2021. (Publisher's Page)

  • Y. Terzioglu, O. Aslan, B. Bolat, B. Bal, T. Tumer, F. C. Kurnaz, S. Kalkan, E. Sahin, "APPRENTICE: Towards a Cobot Helper in Assembly Lines", ICRA2021 Workshop on Unlocking the Potential of HRC for Industrial Applications, 2021. (PDF | Video)

  • K. Oksuz, B. C. Cam, S. Kalkan*, E. Akbas*, "Imbalance Problems in Object Detection: A Review", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 43(10):3388-3415, 2021. (Arxiv | Publisher's webpage | Repository)
    *Equal senior contribution.

2020

  • K. Oksuz, B. C. Cam, E. Akbas*, S. Kalkan*, "A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), spotlight paper, 2020. (Arxiv | Conference page | Code).
    * Equal senior contribution.

  • J. Tjomsland, S. Kalkan, H. Gunes, "Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions", RO-MAN 2020 Workshop on Lifelong Learning for Long-term Human-Robot Interaction (LL4LHRI), 2020. (Arxiv)

  • F. Alamri, S. Kalkan, N. Pugeault, "Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection", 25th International Conference on Pattern Recognition (ICPR), 2020. (Arxiv)

  • T. Xu, J. White, S. Kalkan, H. Gunes, "Investigating Bias and Fairness in Facial Expression Recognition", ECCV2020 Workshop: ChaLearn Looking at People workshop ECCV: Fair Face Recognition and Analysis, 2020. (Arxiv)

  • E. Kalfaoglu, S. Kalkan, A. Alatan, "Late Temporal Modeling in 3D CNNs with BERT for action recognition", ECCV2020 2nd Workshop on Video Turing Test: Toward Human-Level Video Story Understanding, 2020. (Arxiv, Code).

  • F. C. Kurnaz, B. Hocaoglu, M. K. Yilmaz, I. Sulo, S. Kalkan, "ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild", ECCV2020 Workshop on International Workshop on Assistive Computer Vision and Robotics, 2020. (Arxiv, Code and dataset).

  • N. Churamani, S. Kalkan, H. Gunes, "Continual Learning for Affective Robotics: Why, What and How?", The 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man), 2020. (Preprint | Publisher's webpage)

  • I. G. Dino, A. E. Sari, O. K. Iseri, S. Akin, E. Kalfaoglu, B. Erdogan, S. Kalkan, A. Alatan, "Image-based construction of building energy models using computer vision", Automation in Construction, 116(103231), 2020. (Publisher's webpage)

  • K. Oksuz, B. C. Cam, E. Akbas*, S. Kalkan*, "Generating Positive Bounding Boxes for Balanced Training of Object Detectors", IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. (Arxiv | Publisher's page | Publisher's PDF | Code).
    *Equal senior contribution.

2019

  • H. Anayurt, S. A. Ozyegin, U. Cetin, U. Aktas, S. Kalkan, "Searching for Ambiguous Objects in Videos using Relational Referring Expressions", 30th British Machine Vision Conference (BMVC), 2019. (Arxiv | Code)

  • F.I. Dogan, S. Kalkan, I. Leite, "Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments", IEEE/RJS Int. Conference on Intelligent Robots and Systems (IROS), 2019. (Arxiv)

  • I. Bozcan, S. Kalkan, "COSMO: Contextualized Scene Modeling with Boltzmann Machines", Robotics and Autonomous Systems journal, 113:132-148, 2019. (Arxiv | WWW | Publisher's website)

  • A. Abbasi, S. Kalkan, Y. Sahillioglu, "Deep 3D semantic scene extrapolation", The Visual Computer Journal, 35(2):271-279, 2019. (PDF | Publishers's webpage)

2018

  • U. A. Aydin, S. Kalkan, C. Acarturk, "MAGiC: A multimodal framework for analysing gaze in dyadic communication", Journal of Eye Movement Research, 11(6), 2018. (Publisher's webpage)

  • F. I. Dogan, H. Celikkanat, I. Bozcan, S. Kalkan, "Learning to Increment a Contextual Model", Continual Learning Workshop at Neural Information Processing Systems (NIPS) Conference, Canada, 2018. (PDF)

  • 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), pp. 521-537, Springer, 2018. (Arxiv | Publisher's Website | Github)

  • 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), 2018. (Arxiv | WWW | Publisher's Website)

  • O. Tursun, C. Aker, S. Kalkan, "A Large-scale Dataset and Benchmark for Similar Trademark Retrieval", submitted (Available as arXiv:1701.05766 | Dataset: METU Trademark Retrieval Dataset).

  • I. Bozcan, Y. Oymak, I. Z. Alemdar, 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), pp. 1-6, IEEE, 2018. (Arxiv | WWW | Publisher's website)

  • I. Dogan, H. Celikkanat, S. Kalkan, "A Deep Incremental Boltzmann Machine for Modeling Context in Robots", International Conference on Robotics and Automation (ICRA), pp. 2411-2416, IEEE, 2018. (Arxiv | WWW | Publisher's website)

2017

  • U. A. Aydin, S. Kalkan, C. Acarturk, "Dynamic Gaze Analysis", International Artificial Intelligence and Data Processing Symposium, 2017 (in Turkish). (PDF)

  • Coluccia et al., "Drone-vs-Bird detection challenge at IEEE AVSS2017", International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017. (Publisher's site)

  • 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 | Dataset)

  • 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). (PDF|IEEE Website)

  • 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. (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. (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. (PDF)

2016

  • M. Yaman, S. Kalkan, "Performance Evaluation of similarity measures for dense multimodal stereo vision", J. Electron. Imaging 25(3), 033013, 2016. (Preprint | 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. (Technical report: METU-CENG-TR-2015-01 | Publisher's Website | Best Paper Award)

  • B. Logoglu, S. Kalkan, A. Temizel, "CoSPAIR: Colored Histograms of Spatial Concentric Surflet-Pairs for 3D Object Recognition", Robotics and Autonomous Systems, 75(B):558-570, 2016. (Preprint | Publisher's Website | Code)

  • 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) (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) (PDF)

2015

  • F. Gokce, G. Ucoluk, E. Sahin, S. Kalkan, "Vision-based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles", Sensors, 15(9), 23805-23846, 2015. (Preprint | 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. (Preprint | 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, 29(1):41-50, 2015. (Preprint | Publisher's Website)

  • M. Yaman, S. Kalkan, "An Iterative Adaptive Multi-modal Stereo-vision Method using Mutual Information", Journal of Visual Communication and Image Representation, 26(0):115-131, 2015. (Preprint | Publisher's Website | Dataset )

  • 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)

  • O. Oztimur, M. A. Akkus, S. Kalkan, F. Yarman-Vural, "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). (PDF)

  • W. Tuerxun, S. Kalkan, "A Challenging Big Dataset for Benchmarking Trademark Retrieval", 14th IAPR Conference on Machine Vision and Applications, Tokyo, 2015. (PDF| METU Trademark Dataset)

2014

  • S. Kalkan, N. Dag, O. Yuruten, A. M. Borghi, E. Sahin, "Verb Concepts from Affordances", Interaction Studies Journal, 15(1):1-37, 2014. (Preprint | Publisher's Website)

  • H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin and S. Kalkan, "Insansi Robotlarda Baglamin Ogrenilmesi", 1nci Turkiye Otonom Robotlar Konferansi (TORK), ODTU, 6-7 Kasim 2014. (PDF)

  • F. Gokce, S. Olgunsoylu, G. Ucoluk, E. Sahin and S. Kalkan, "Goruntu Isleme ile Mikro Insansiz Hava Araclarinin Algilanmasi", 1nci Turkiye Otonom Robotlar Konferansi (TORK), ODTU, 6-7 Kasim 2014. (PDF)

  • H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin and S. Kalkan, "Learning and Using Context on a Humanoid Robot Using Latent Dirichlet Allocation", Int. Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014. (Preprint PDF)

  • H. Celikkanat, S. Kalkan, "Using Slowness Principle for Feature Selection: Relevant Feature Analysis", 22nd IEEE Conference on Signal Processing and Applications (Special Session on Cognitive Robotics and Applications), Trabzon, Turkey, 2014. (PDF)

  • F. Yousefi, E. Sivri, O. Kaya, S. Suloglu, S. Kalkan, "Analysis of Widely-used Descriptors for Finger-vein Recognition", Int. Conf. on Computer Vision Theory and Applications, 2014. (PDF)

2013

  • O. Yuruten, E. Sahin, S. Kalkan, "The Learning of Adjectives and Nouns from Affordance and Appearance Features", Adaptive Behavior, 21(6):437-451, 2013. (Preprint | Publisher's Website)

  • 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 | Publisher's Website)

  • H. Celikkanat, E. Sahin, S. Kalkan, "Recurrent Slow Feature Analysis for Developing Object Permanence in Robots", IROS Workshop on Neuroscience and Robotics, Tokyo, Japan, November, 2013. (PDF)

  • Uyanik K.F., Caliskan Y., Bozcuoglu A.K., Yuruten O., Kalkan S. and Sahin, E., "Learning Social Affordances and Using Them for Planning", 35th Annual Conference of the Cognitive Science Society, 2013. (PDF)

  • G. Orhan, S. Olgunsoylu, E. Sahin, S. Kalkan, "Co-learning nouns and adjectives", IEEE International Conference on Development and Learning and on Epigenetic Robotics, Osaka, Japan, 2013. (PDF)

  • E. Sivri, S. Kalkan, "A Novel Shape Descriptor: Intersection Consistency Histograms", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • M. A. Akkus, M. Aydinlilar, S. Kalkan, "Range Analysis of Junctions", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • M. A. Akkus, G. Topuz, B. Ozkan, S. Kalkan, "A Comprehensive Database for Border Ownership", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • B. Ozkan, S. Kalkan, "Extraction of Border Ownership Information by Conditional Random Field Model", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • S. Kalkan, O. Yuruten, E. Sahin, "Relating Affordances with Verbs, Nouns and Adjectives ", Special Session on Cognitive Robotics and Applications, IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • M. Yaman, S. Kalkan, " Multimodal Stereo Vision Using Mutual Information with Adaptive Windowing", 13th IAPR Conference on Machine Vision and Applications, Kyoto, Japan, 2013. (PDF | | Dataset )

  • E. Sivri, S. Kalkan, "Global Binary Patterns: A Novel Shape Descriptor", 13th IAPR Conference on Machine Vision and Applications, Kyoto, Japan, 2013. (PDF)

2012

  • J. Ralli, J. Diaz, E. Ros, S. Kalkan, N. Krueger, "Disparity Disambiguation by Fusion of Signal- and Symbolic-Level Information", Machine Vision and Applications, 23(1):65-77, 2012. (Publisher's Website).

  • F. Anelli, R. Nicoletti, S. Kalkan, E. Sahin and A. M. Borghi, "Human and robotics hands grasping danger", Proc. of the International Joint Conference on Neural Networks (IJCNN), pages 1-8, 2012. (PDF)

  • K. F. Uyanik, O. Yuruten, S. Kalkan, E. Sahin, " Towards Context-aware Adjective Learning ", ICRA Workshop on The Future of Human-Robot Interaction, 2012. (PDF)

  • O. Yuruten, K. F. Uyanik, Y. Caliskan, A. K. Bozcuoglu, E. Sahin, S. Kalkan, "Learning Adjectives and Nouns from Affordances on the iCub Humanoid Robot ", 12th International Conference on Adaptive Behavior (SAB), Lecture Notes in Computer Science Volume 7426, pp 330-340, 2012. (PDF)

2010

  • E. Baseski, N. Pugeault, S. Kalkan, L. Bodenhagen, J. Piater and N. Kruger, "Using Multi-Modal 3D Contours and Their Relations for Vision and Robotics", Journal of Visual Communication and Image Representation, 21(8):850-864, 2010. (Publisher's Website)

  • I. Atil, N. Dag, S. Kalkan, E. Sahin, "Affordances and Emergence of Concepts", 10th International Conference on Epigenetic Robotics, 2010. (PDF)

  • N. Kruger, N. Pugeault, E. Baseski, L.B.W. Jensen, S. Kalkan, D. Kraft, J.B. Jessen, F. Pilz, A. Kjaer-Nielsen, M. Popovic, T. Asfour, J. Piater, D. Kragic, F. Worgotter, "Early Cognitive Vision as a Front-end for Cognitive Systems", ECCV 2010 Workshop on 'Vision for Cognitive Tasks'. (PDF)

  • N. Dag, I. Atil, S. Kalkan, E. Sahin, "Learning Affordances for Categorizing Objects and Their Properties", IEEE International Conference on Pattern Recognition (ICPR), pp. 3089-3092, 2010. (PDF)

2009

  • M. Felsberg, S. Kalkan and N. Krueger, "Continuous Dimensionality Characterization of Image Structures", Image and Vision Computing, 27(6):628--636, 2009. (Publisher's Website )

  • E. Baseski, L. Bodenhagen, N. Pugeault, S. Kalkan, J. Piater, N. Krueger. "Using 3D Contours and Their Relations for Cognitive Vision and Robotics", Proc. of the 24th International Symposium on Computer and Information Sciences (ISCIS 2009), Special Session on Cognitive Cybernetics and Brain Modeling, 2009. (PDF)

  • D. Goswami, S. Kalkan, N. Kruger. "Bayesian Classification of Image Structures", Scandinavian Conference on Image Analysis (SCIA) 2009. (PDF)

2008

  • D. Kraft, N. Pugeault, E. Baseski, M. Popovic, D. Kragic, S. Kalkan, F. Woergoetter and N. Krueger. "Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object Action Complexes", International Journal of Humanoid Robotics (IJHR), 5(2):247-265, 2008. (Publisher's Webpage)

  • L. B. W. Jensen, E. Baseski, S. Kalkan, N. Pugeault, F. Woergoetter and N. Krueger. "Semantic Reasoning for Scene Interpretation", 4th Int. Cognitive Vision Workshop - ICVW, Santorini, Greece, 2008. (PDF)

  • D. Kraft, E. Baseski, M. Popovic, A. Batog. A. Kjaer-Nielsen, N. Krueger, R. Petrick, C. Geib, N. Pugeault, M. Steedman, T. Asfour, R. Dillmann, S. Kalkan, F. Woergoetter, B. Hommel, R. Detry, J. Piater, "Exploration and Planning in a Three-Level Cognitive Architecture", International Conference on Cognitive Systems, 2008. (PDF)

  • N. Pugeault, S. Kalkan, E. Baseski, F. Woergoetter and N. Krueger. "Reconstruction uncertainty and 3D relations", Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), January, 2008.

  • S. Kalkan, F. Woergoetter, N. Krueger, "Depth Prediction at Homogeneous Image Structures", Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), January, 2008. (PDF)

  • S. Kalkan, S. Yan, V. Krueger, F. Woergoetter, N. Krueger, "A Signal-Symbol Loop Mechanism For Enhanced Edge Extraction", Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), January, 2008. (PDF)

2007

  • S. Kalkan, F. Woergoetter and N. Krueger, "First-order and Second-order Statistical Analysis of 3D and 2D Structure", Network: Computation in Neural Systems, 18(2), pp. 129-160, 2007. (Preprint | Publisher's Webpage)

  • F. Pilz, Y. Shi, D. Grest, N. Pugeault, S. Kalkan, N. Krueger, "Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation", In G. Bebis et al. (Eds.): Int. Symposium on Visual Computing (ISVC), Part I, LNCS 4841, pp. 692-701, 2007. Springer-Verlag Berlin Heidelberg 2007. (PDF)

  • D. Aarno, J. Sommerfeld, D. Kragic, N. Pugeault, S. Kalkan, F. Woergoetter, D. Kraft, N. Krueger. Early Reactive Grasping with Second Order 3D Feature Relations", ICAR 07: The IEEE International Conference on Advanced Robotics, Jeju Island, Korea, 2007.

  • E. Baseski, N. Pugeault, S. Kalkan, D. Kraft, F. Woergoetter and N. Krueger. "A Scene Representation Based on Multi-Modal 2D and 3D Features", ICCV 2007 Workshop on 3D Representation for Recognition 3dRR-07, October, 2007. (PDF)

  • S. Kalkan, N. Pugeault and N. Krueger, "Perceptual Operations and Relations between 2D or 3D Visual Entities", Technical report of the Robotics Group, Maersk Institute, University of Southern Denmark, No: 2007-3, 2007. (PDF)

  • S. Kalkan, F. Woergoetter and N. Krueger, "Depth Prediction at Homogeneous Image Structures", Technical report of the Robotics Group, Maersk Institute, University of Southern Denmark, No: 2007-2, 2007. (PDF)

  • M. Kjaergaard, A. Bierbaum, D. Kraft, S. Kalkan, N. Krueger, T. Asfour, R. Dillmann, "Using Tactile Sensors for Multisensorial Scene Explorations", Technical report of the Robotics Group, Maersk Institute, University of Southern Denmark, No: 2007-5, 2007. (PDF)

  • S. Kalkan, F. Woergoetter, N. Krueger, "Statistical Analysis of Second-order Relations of 3D Structures", Int. Conf. on Computer Vision Theory and Applications (VISAPP'07), March, 2007. (PDF) NOTE: There was a minor error in results in the conference proceedings version, which is removed in the PDF version provided here. The conclusions and discussions are unaffected by this change although qualitatively the version on this webpage is better.

  • S. Kalkan, S. Yan, F. Pilz, N. Krueger, "Improving Junction Detection by Semantic Interpretation", Int. Conf. on Computer Vision Theory and Applications (VISAPP'07), March, 2007. (PDF)

  • D. Aarno, J. Sommerfeld, D. Kragic, N. Pugeault, S. Kalkan, F. Woergoetter, D. Kraft and N. Krueger, "Early Reactive Grasping with Second Order 3D Feature Relations", IEEE International Conference on Robotics and Automation (ICRA), Workshop: From features to actions - Unifying perspectives in computational and robot vision, 2007. (PDF)

2006

  • S. Kalkan, F. Woergoetter, N. Krueger, "Statistical Analysis of Local 3D Structure in 2D Images", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006. (PDF)

2005

  • S. Kalkan, D. Calow, F. Woergoetter, M. Lappe and N. Krueger. "Local Image Structures and Optic Flow Estimation" Network: Computation in Neural Systems. 16(4), pp. 341-356, 2005. (Preprint | Publisher's Webpage)

2004

  • S. Kalkan, D. Calow, M. Felsberg, F. Woergoetter, M. Lappe and N. Krueger. "Optic Flow Statistics and Intrinsic Dimensionality", Proc. Brain Inspired Cognitive Systems, 2004 (PDF)
    A similar content was presented as poster in two workshops: Early Cognitive Vision Workshop in 2004 and Dynamic Perception Workshop in 2004.
  • S. Kalkan, D. Calow, M. Felsberg, F. Woergoetter, M. Lappe and N. Krueger. "Optic Flow Statistics and Intrinsic Dimensionality", Proc. Early Cognitive Vision Workshop, 2004. (PDF)