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Sinan Kalkan
Sinan Kalkan
Dept. of Computer Eng., Middle East Technical University
Verified email at metu.edu.tr - Homepage
Title
Cited by
Cited by
Year
Imbalance problems in object detection: A review
K Oksuz, BC Cam, S Kalkan, E Akbas
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
5352020
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
4572013
Using deep networks for drone detection
C Aker, S Kalkan
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
2752017
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
1832020
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
1692020
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
1392015
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
1372018
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
1102008
Continuous dimensionality characterization of image structures
M Felsberg, S Kalkan, N Krüger
Image and Vision Computing 27 (6), 628-636, 2009
632009
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
532021
Continual Learning for Affective Robotics: Why, What and How?
N Churamani, S Kalkan, H Gunes
522020
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
512020
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
502008
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
492020
Verb concepts from affordances
S Kalkan, N Dag, O Yürüten, AM Borghi, E Şahin
Interaction Studies 15 (1), 1-37, 2014
392014
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
352016
The learning of adjectives and nouns from affordance and appearance features
O Yürüten, E Şahin, S Kalkan
Adaptive Behavior 21 (6), 437-451, 2013
342013
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
332020
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
322010
One metric to measure them all: Localisation recall precision (LRP) for evaluating visual detection tasks
K Oksuz, BC Cam, S Kalkan, E Akbas
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
302021
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