Imbalance problems in object detection: A review K Oksuz, BC Cam, S Kalkan, E Akbas IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 499 | 2020 |
Deep hierarchies in the primate visual cortex: What can we learn for computer vision? N Kruger, P Janssen, S Kalkan, M Lappe, A Leonardis, J Piater, ... IEEE transactions on pattern analysis and machine intelligence 35 (8), 1847-1871, 2013 | 448 | 2013 |
Using deep networks for drone detection C Aker, S Kalkan 2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 267 | 2017 |
Late temporal modeling in 3d cnn architectures with bert for action recognition ME Kalfaoglu, S Kalkan, AA Alatan Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 174 | 2020 |
Investigating bias and fairness in facial expression recognition T Xu, J White, S Kalkan, H Gunes Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 154 | 2020 |
Localization recall precision (LRP): A new performance metric for object detection K Oksuz, B Can Cam, E Akbas, S Kalkan Proceedings of the European Conference on Computer Vision (ECCV), 504-519, 2018 | 136 | 2018 |
Vision-Based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles F Gökçe, G Üçoluk, E Şahin, S Kalkan Sensors 15 (9), 23805-23846, 2015 | 130 | 2015 |
Birth of the object: detection of objectness and extraction of object shape through object–action complexes D Kraft, N Pugeault, E BAŞESKI, M POPOVIĆ, D KRAGIĆ, S Kalkan, ... International Journal of Humanoid Robotics 5 (02), 247-265, 2008 | 109 | 2008 |
Continuous dimensionality characterization of image structures M Felsberg, S Kalkan, N Krüger Image and Vision Computing 27 (6), 628-636, 2009 | 63 | 2009 |
Continual Learning for Affective Robotics: Why, What and How? N Churamani, S Kalkan, H Gunes | 50 | 2020 |
Early reactive grasping with second order 3d feature relations D Aarno, J Sommerfeld, D Kragic, N Pugeault, S Kalkan, F Wörgötter, ... Recent Progress in Robotics: Viable Robotic Service to Human, 91-105, 2008 | 50 | 2008 |
Rank & Sort Loss for Object Detection and Instance Segmentation K Oksuz, BC Cam, E Akbas, S Kalkan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 49 | 2021 |
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection K Oksuz, BC Cam, E Akbas, S Kalkan Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS …, 2020 | 49 | 2020 |
Image-based construction of building energy models using computer vision IG Dino, AE Sari, OK Iseri, S Akin, E Kalfaoglu, B Erdogan, S Kalkan, ... Automation in Construction 116, 103231, 2020 | 48 | 2020 |
Verb concepts from affordances S Kalkan, N Dag, O Yürüten, AM Borghi, E Şahin Interaction Studies 15 (1), 1-37, 2014 | 39 | 2014 |
The learning of adjectives and nouns from affordance and appearance features O Yürüten, E Şahin, S Kalkan Adaptive Behavior 21 (6), 437-451, 2013 | 34 | 2013 |
CoSPAIR: Colored Histograms of Spatial Concentric Surflet-Pairs for 3D Object Recognition KB Logoglu, S Kalkan, A Temizel Robotics and Autonomous Systems 75, 558-570, 2016 | 33 | 2016 |
Learning affordances for categorizing objects and their properties N Dag, I Atil, S Kalkan, E Sahin 2010 20th International Conference on Pattern Recognition, 3089-3092, 2010 | 32 | 2010 |
Generating positive bounding boxes for balanced training of object detectors K Oksuz, BC Cam, E Akbas, S Kalkan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 31 | 2020 |
Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation H Celikkanat, G Orhan, N Pugeault, F Guerin, E Şahin, S Kalkan IEEE Transactions on Cognitive and Developmental Systems 8 (1), 42-59, 2016 | 30 | 2016 |