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Sinan Kalkan
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2020 – today
- 2024
- [j28]Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan:
Uncertainty as a Fairness Measure. J. Artif. Intell. Res. 81: 307-335 (2024) - [j27]Lakshadeep Naik, Sinan Kalkan, Norbert Krüger:
Pre-Grasp Approaching on Mobile Robots: A Pre-Active Layered Approach. IEEE Robotics Autom. Lett. 9(3): 2606-2613 (2024) - [c67]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. CVPR 2024: 3239-3249 - [c66]Önder Tuzcuoglu, Aybora Köksal, Bugra Sofu, Sinan Kalkan, A. Aydin Alatan:
XoFTR: Cross-modal Feature Matching Transformer. CVPR Workshops 2024: 4275-4286 - [c65]Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection. IJCAI 2024: 7224-7232 - [i33]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. CoRR abs/2403.01795 (2024) - [i32]Önder Tuzcuoglu, Aybora Köksal, Bugra Sofu, Sinan Kalkan, A. Aydin Alatan:
XoFTR: Cross-modal Feature Matching Transformer. CoRR abs/2404.09692 (2024) - [i31]Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Part-based Quantitative Analysis for Heatmaps. CoRR abs/2405.13264 (2024) - [i30]Lakshadeep Naik, Sinan Kalkan, Sune Lundø Sørensen, Mikkel Baun Kjærgaard, Norbert Krüger:
BaSeNet: A Learning-based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks. CoRR abs/2406.08653 (2024) - [i29]Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan:
Bucketed Ranking-based Losses for Efficient Training of Object Detectors. CoRR abs/2407.14204 (2024) - 2023
- [j26]Ismail Hakki Kocdemir, Alper Koz, Ahmet Oguz Akyüz, Alan Chalmers, A. Aydin Alatan, Sinan Kalkan:
TMO-Det: Deep tone-mapping optimized with and for object detection. Pattern Recognit. Lett. 172: 230-236 (2023) - [c64]Nikhil Churamani, Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Towards Causal Replay for Knowledge Rehearsal in Continual Learning. AAAI Bridge Program 2023: 63-70 - [c63]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. AAAI 2023: 1087-1095 - [c62]Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes:
Towards Gender Fairness for Mental Health Prediction. IJCAI 2023: 5932-5940 - [c61]Eren Gökberk Halaçli, Ilkim Canli, Orçun Koral Iseri, Feyza Yavuz, Çagla Meral Akgül, Sinan Kalkan, Ipek Gürsel Dino:
A Novel Graph Neural Network for Zone-Level Urban-Scale Building Energy Use Estimation. BuildSys@SenSys 2023: 169-176 - [c60]Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Causal Structure Learning of Bias for Fair Affect Recognition. WACV (Workshops) 2023: 340-349 - [i28]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. CoRR abs/2301.01019 (2023) - [i27]Zeynep Sonat Baltaci, Kemal Oksuz, Selim Kuzucu, K. Tezoren, B. K. Konar, A. Ozkan, Emre Akbas, Sinan Kalkan:
Class Uncertainty: A Measure to Mitigate Class Imbalance. CoRR abs/2311.14090 (2023) - [i26]Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan:
Uncertainty-based Fairness Measures. CoRR abs/2312.11299 (2023) - [i25]Baris Can Çam, Kemal Öksüz, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation. CoRR abs/2312.17031 (2023) - 2022
- [j25]Ipek Gursel Dino, M. Esat Kalfaoglu, Orcun Koral Iseri, Bilge Erdogan, Sinan Kalkan, A. Aydin Alatan:
Vision-based estimation of the number of occupants using video cameras. Adv. Eng. Informatics 53: 101662 (2022) - [j24]Jonas Tjomsland, Sinan Kalkan, Hatice Gunes:
Mind Your Manners! A Dataset and a Continual Learning Approach for Assessing Social Appropriateness of Robot Actions. Frontiers Robotics AI 9: 669420 (2022) - [j23]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
Does depth estimation help object detection? Image Vis. Comput. 122: 104427 (2022) - [j22]Selver Ezgi Küçükbay, Adnan Yazici, Sinan Kalkan:
Hand-crafted versus learned representations for audio event detection. Multim. Tools Appl. 81(21): 30911-30930 (2022) - [j21]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9446-9463 (2022) - [c59]Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Counterfactual Fairness for Facial Expression Recognition. ECCV Workshops (5) 2022: 245-261 - [c58]Feyza Yavuz, Sinan Kalkan:
Segment Augmentation and Differentiable Ranking for Logo Retrieval. ICPR 2022: 1621-1627 - [c57]Özgür Aslan, Burak Bolat, Batuhan Bal, Tugba Tümer, Erol Sahin, Sinan Kalkan:
AssembleRL: Learning to Assemble Furniture from Their Point Clouds. IROS 2022: 2748-2753 - [c56]Ismail Hakki Kocdemir, Ahmet Oguz Akyüz, Alper Koz, Alan Chalmers, A. Aydin Alatan, Sinan Kalkan:
Object Detection for Autonomous Driving: High-Dynamic Range vs. Low-Dynamic Range Images. MMSP 2022: 1-5 - [c55]Fatih Acun, Sinan Kalkan, Ebru Aydin Gol:
Traffic Prediction with Peak-Aware Temporal Graph Convolutional Networks. SIU 2022: 1-4 - [c54]Hazal Mogultay, Sinan Kalkan, Fatos T. Yarman-Vural:
An Analysis on Disentanglement in Machine Learning. SIU 2022: 1-4 - [i24]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
Does depth estimation help object detection? CoRR abs/2204.06512 (2022) - [i23]Feyza Yavuz, Sinan Kalkan:
Segment Augmentation and Differentiable Ranking for Logo Retrieval. CoRR abs/2209.02482 (2022) - [i22]Özgür Aslan, Burak Bolat, Batuhan Bal, Tugba Tümer, Erol Sahin, Sinan Kalkan:
AssembleRL: Learning to Assemble Furniture from Their Point Clouds. CoRR abs/2209.07268 (2022) - 2021
- [j20]Ülkü Arslan Aydin, Sinan Kalkan, Cengiz Acartürk:
Speech Driven Gaze in a Face-to-Face Interaction. Frontiers Neurorobotics 15: 598895 (2021) - [j19]Halil Ibrahim Ugurlu, Sinan Kalkan, Afsar Saranli:
Reinforcement Learning versus Conventional Control for Controlling a Planar Bi-rotor Platform with Tail Appendage. J. Intell. Robotic Syst. 102(4): 77 (2021) - [j18]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3388-3415 (2021) - [j17]Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
The Hitchhiker's Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques. IEEE Signal Process. Mag. 38(6): 39-49 (2021) - [c53]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. BMVC 2021: 228 - [c52]Nikhil Churamani, Sinan Kalkan, Hatice Gunes:
AULA-Caps: Lifecycle-Aware Capsule Networks for Spatio-Temporal Analysis of Facial Actions. FG 2021: 1-8 - [c51]Bahar Irfan, Aditi Ramachandran, Samuel Spaulding, Sinan Kalkan, German Ignacio Parisi, Hatice Gunes:
Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI). HRI (Companion) 2021: 724-727 - [c50]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. ICCV 2021: 2989-2998 - [c49]Alper Koz, Baris Demirkiliç, Yunus Bilge Kurt, Ahmet Oguz Akyüz, Sinan Kalkan, A. Aydin Alatan, Alan Chalmers:
HDR Image Construction from Trifocal Multiexposure Images. MMSP 2021: 1-5 - [i21]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. CoRR abs/2107.11669 (2021) - [i20]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. CoRR abs/2110.09734 (2021) - 2020
- [c48]Fatih Can Kurnaz, Burak Hocaoglu, Mert Kaan Yilmaz, Idil Sülo, Sinan Kalkan:
ALET (Automated Labeling of Equipment and Tools): A Dataset for Tool Detection and Human Worker Safety Detection. ECCV Workshops (4) 2020: 371-386 - [c47]Tian Xu, Jennifer White, Sinan Kalkan, Hatice Gunes:
Investigating Bias and Fairness in Facial Expression Recognition. ECCV Workshops (6) 2020: 506-523 - [c46]M. Esat Kalfaoglu, Sinan Kalkan, A. Aydin Alatan:
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition. ECCV Workshops (5) 2020: 731-747 - [c45]Faisal Alamri, Sinan Kalkan, Nicolas Pugeault:
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. ICPR 2020: 9577-9584 - [c44]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. NeurIPS 2020 - [c43]Nikhil Churamani, Sinan Kalkan, Hatice Gunes:
Continual Learning for Affective Robotics: Why, What and How? RO-MAN 2020: 425-431 - [c42]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. WACV 2020: 883-892 - [i19]Tian Xu, Jennifer White, Sinan Kalkan, Hatice Gunes:
Investigating Bias and Fairness in Facial Expression Recognition. CoRR abs/2007.10075 (2020) - [i18]Jonas Tjomsland, Sinan Kalkan, Hatice Gunes:
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions. CoRR abs/2007.12506 (2020) - [i17]M. Esat Kalfaoglu, Sinan Kalkan, A. Aydin Alatan:
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition. CoRR abs/2008.01232 (2020) - [i16]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. CoRR abs/2009.13592 (2020) - [i15]Faisal Alamri, Sinan Kalkan, Nicolas Pugeault:
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. CoRR abs/2011.06978 (2020) - [i14]Nikhil Churamani, Sinan Kalkan, Hatice Gunes:
Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks. CoRR abs/2011.08819 (2020) - [i13]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. CoRR abs/2011.10772 (2020)
2010 – 2019
- 2019
- [j16]Ilker Bozcan, Sinan Kalkan:
COSMO: Contextualized scene modeling with Boltzmann Machines. Robotics Auton. Syst. 113: 132-148 (2019) - [j15]Ali Abbasi, Sinan Kalkan, Yusuf Sahillioglu:
Deep 3D semantic scene extrapolation. Vis. Comput. 35(2): 271-279 (2019) - [c41]Hazan Anayurt, Sezai Artun Ozyegin, Ulfet Cetin, Utku Aktas, Sinan Kalkan:
Searching for Ambiguous Objects in Videos using Relational Referring Expressions. BMVC 2019: 272 - [c40]Fethiye Irmak Dogan, Sinan Kalkan, Iolanda Leite:
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments. IROS 2019: 4992-4999 - [i12]Fethiye Irmak Dogan, Sinan Kalkan, Iolanda Leite:
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments. CoRR abs/1904.07165 (2019) - [i11]Hazan Anayurt, Sezai Artun Ozyegin, Ulfet Cetin, Utku Aktas, Sinan Kalkan:
Searching for Ambiguous Objects in Videos using Relational Referring Expressions. CoRR abs/1908.01189 (2019) - [i10]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. CoRR abs/1909.00169 (2019) - [i9]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. CoRR abs/1909.09777 (2019) - [i8]Fatih Can Kurnaz, Burak Hocaoglu, Mert Kaan Yilmaz, Idil Sülo, Sinan Kalkan:
ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild. CoRR abs/1910.11713 (2019) - 2018
- [c39]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. ECCV (7) 2018: 521-537 - [c38]Ilker Bozcan, Yagmur Oymak, Idil Zeynep Alemdar, Sinan Kalkan:
What is (Missing or Wrong) in the Scene? A Hybrid Deep Boltzmann Machine for Contextualized Scene Modeling. ICRA 2018: 1-6 - [c37]Fethiye Irmak Dogan, Hande Çelikkanat, Sinan Kalkan:
A Deep Incremental Boltzmann Machine for Modeling Context in Robots. ICRA 2018: 2411-2416 - [c36]Fethiye Irmak Dogan, Ilker Bozcan, Mehmet Celik, Sinan Kalkan:
CINet: A Learning Based Approach to Incremental Context Modeling in Robots. IROS 2018: 4641-4646 - [i7]Ilker Bozcan, Sinan Kalkan:
COSMO: Contextualized Scene Modeling with Boltzmann Machines. CoRR abs/1807.00511 (2018) - [i6]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. CoRR abs/1807.01696 (2018) - 2017
- [c35]Cemal Aker, Sinan Kalkan:
Using deep networks for drone detection. AVSS 2017: 1-6 - [c34]Angelo Coluccia, Marian Ghenescu, Tomas Piatrik, Geert De Cubber, Arne Schumann, Lars Wilko Sommer, Johannes Klatte, Tobias Schuchert, Jürgen Beyerer, Mohammad Farhadi, Ruhallah Amandi, Cemal Aker, Sinan Kalkan, Muhammad Saqib, Nabin Sharma, Sultan Daud Khan, Khan Makkah, Michael Blumenstein:
Drone-vs-Bird detection challenge at IEEE AVSS2017. AVSS 2017: 1-6 - [c33]Cengiz Acartürk, Sinan Kalkan, Ülkü Arslan Aydin:
A Gaze-Centered Multimodal Approach to Human-Human Social Interaction. CYBCONF 2017: 1-6 - [c32]Cemal Aker, Osman Tursun, Sinan Kalkan:
Analyzing deep features for trademark retrieval. SIU 2017: 1-4 - [i5]Osman Tursun, Cemal Aker, Sinan Kalkan:
A Large-scale Dataset and Benchmark for Similar Trademark Retrieval. CoRR abs/1701.05766 (2017) - [i4]Cemal Aker, Sinan Kalkan:
Using Deep Networks for Drone Detection. CoRR abs/1706.05726 (2017) - [i3]Fethiye Irmak Dogan, Sinan Kalkan:
A Deep Incremental Boltzmann Machine for Modeling Context in Robots. CoRR abs/1710.04975 (2017) - [i2]Fethiye Irmak Dogan, Ilker Bozcan, Sinan Kalkan:
A Learning Based Approach to Incremental Context Modeling in Robots. CoRR abs/1710.04981 (2017) - [i1]Ilker Bozcan, Yagmur Oymak, Idil Zeynep Alemdar, Sinan Kalkan:
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling. CoRR abs/1710.05664 (2017) - 2016
- [j14]Mustafa Yaman, Sinan Kalkan:
Performance evaluation of similarity measures for dense multimodal stereovision. J. Electronic Imaging 25(3): 033013 (2016) - [j13]K. Berker Logoglu, Sinan Kalkan, Alptekin Temizel:
CoSPAIR: Colored Histograms of Spatial Concentric Surflet-Pairs for 3D object recognition. Robotics Auton. Syst. 75: 558-570 (2016) - [j12]Hande Çelikkanat, Güner Orhan, Nicolas Pugeault, Frank Guerin, Erol Sahin, Sinan Kalkan:
Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation. IEEE Trans. Cogn. Dev. Syst. 8(1): 42-59 (2016) - [c31]Pedro B. Pascoal, Pedro F. Proença, Filipe Gaspar, Miguel Sales Dias, Alfredo Ferreira, Atsushi Tatsuma, Masaki Aono, K. Berker Logoglu, Sinan Kalkan, Alptekin Temizel, Bo Li, Henry Johan, Yijuan Lu, Viktor Seib, Norman Link, Dietrich Paulus:
Shape Retrieval of Low-Cost RGB-D Captures. 3DOR@Eurographics 2016 - 2015
- [j11]Mustafa Yaman, Sinan Kalkan:
An iterative adaptive multi-modal stereo-vision method using mutual information. J. Vis. Commun. Image Represent. 26: 115-131 (2015) - [j10]Ilkay Atil, Sinan Kalkan:
Towards an Embodied Developing Vision System. Künstliche Intell. 29(1): 41-50 (2015) - [j9]Fatih Gökçe, Göktürk Üçoluk, Erol Sahin, Sinan Kalkan:
Vision-Based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles. Sensors 15(9): 23805-23846 (2015) - [j8]Hande Çelikkanat, Güner Orhan, Sinan Kalkan:
A Probabilistic Concept Web on a Humanoid Robot. IEEE Trans. Auton. Ment. Dev. 7(2): 92-106 (2015) - [c30]Hande Çelikkanat, Erol Sahin, Sinan Kalkan:
Integrating spatial concepts into a probabilistic concept web. ICAR 2015: 259-264 - [c29]Osman Tursun, Sinan Kalkan:
METU dataset: A big dataset for benchmarking trademark retrieval. MVA 2015: 514-517 - [c28]Özge Öztimur Karadag, Mehmet Akif Akkus, Sinan Kalkan, Fatos T. Yarman-Vural:
An MRF framework for co-solving image segmentation and border ownership. SIU 2015: 839-842 - 2014
- [c27]Hande Çelikkanat, Güner Orhan, Nicolas Pugeault, Frank Guerin, Erol Sahin, Sinan Kalkan:
Learning and using context on a humanoid robot using latent dirichlet allocation. ICDL-EPIROB 2014: 201-207 - [c26]Hande Çelikkanat, Sinan Kalkan:
Using slowness principle for feature selection: Relevant feature analysis. SIU 2014: 1540-1543 - [c25]Fariba Yousefi, Erdal Sivri, Özgür Kaya, Selma Suloglu, Sinan Kalkan:
Analysis of Widely-used Descriptors for Finger-vein Recognition. VISAPP (1) 2014: 564-571 - 2013
- [j7]Onur Yürüten, Erol Sahin, Sinan Kalkan:
The learning of adjectives and nouns from affordance and appearance features. Adapt. Behav. 21(6): 437-451 (2013) - [j6]Norbert Krüger, Peter Janssen, Sinan Kalkan, Markus Lappe, Ales Leonardis, Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Laurenz Wiskott:
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1847-1871 (2013) - [c24]Kadir Firat Uyanik, Yigit Çaliskan, Asil Kaan Bozcuoglu, Onur Yürüten, Sinan Kalkan, Erol Sahin:
Learning Social Affordances and Using Them for Planning. CogSci 2013 - [c23]Güner Orhan, Sertaç Olgunsoylu, Erol Sahin, Sinan Kalkan:
Co-learning nouns and adjectives. ICDL-EPIROB 2013: 1-6 - [c22]Erdal Sivri, Sinan Kalkan:
Global Binary Patterns: A Novel Shape Descriptor. MVA 2013: 169-172 - [c21]Mustafa Yaman, Sinan Kalkan:
Multimodal Stereo Vision Using Mutual Information with Adaptive Windowing. MVA 2013: 335-338 - [c20]Mehmet Akif Akkus, Merve Aydinlilar, Sinan Kalkan:
Range analysis of junctions. SIU 2013: 1-4 - [c19]Mehmet Akif Akkus, Gaye Topuz, Bugra Ozkan, Sinan Kalkan:
A comprehensive database for border ownership. SIU 2013: 1-4 - [c18]Sinan Kalkan, Onur Yürüten, Erol Sahin:
Relating affordances with verbs, nouns and adjectives. SIU 2013: 1-4 - [c17]Bugra Ozkan, Sinan Kalkan:
Extraction of border ownership information by Conditional Random Field model. SIU 2013: 1-4 - [c16]Erdal Sivri, Sinan Kalkan:
A novel shape descriptor: Intersection Consistency Histograms. SIU 2013: 1-4 - 2012
- [b2]Göktürk Üçoluk, Sinan Kalkan:
Introduction to Programming Concepts with Case Studies in Python. Springer 2012, ISBN 978-3-7091-1342-4, pp. I-X, 1-221 - [j5]Jarno Ralli, Javier Díaz, Sinan Kalkan, Norbert Krüger, Eduardo Ros:
Disparity disambiguation by fusion of signal- and symbolic-level information. Mach. Vis. Appl. 23(1): 65-77 (2012) - [c15]Filomena Anelli, Roberto Nicoletti, Sinan Kalkan, Erol Sahin, Anna M. Borghi:
Human and robotics hands grasping danger. IJCNN 2012: 1-8 - [c14]Onur Yürüten, Kadir Firat Uyanik, Yigit Çaliskan, Asil Kaan Bozcuoglu, Erol Sahin, Sinan Kalkan:
Learning Adjectives and Nouns from Affordances on the iCub Humanoid Robot. SAB 2012: 330-340 - 2010
- [j4]Emre Baseski, Nicolas Pugeault, Sinan Kalkan, Leon Bodenhagen, Justus H. Piater, Norbert Krüger:
Using multi-modal 3D contours and their relations for vision and robotics. J. Vis. Commun. Image Represent. 21(8): 850-864 (2010) - [c13]Ilkay Atil, Nilgün Dag, Sinan Kalkan, Erol Sahin:
Affordances and Emergence of Concepts. EpiRob 2010 - [c12]Nilgün Dag, Ilkay Atil, Sinan Kalkan, Erol Sahin:
Learning Affordances for Categorizing Objects and Their Properties. ICPR 2010: 3089-3092