| Visual motion and the perception of surface material K Doerschner, RW Fleming, O Yilmaz, PR Schrater, B Hartung, D Kersten Current Biology 21 (23), 2010-2016, 2011 | 140 | 2011 |
| Spatial and temporal properties of the illusory motion-induced position shift for drifting stimuli STL Chung, SS Patel, HE Bedell, O Yilmaz Vision Research 47 (2), 231-243, 2007 | 80 | 2007 |
| Symbolic Computation Using Cellular Automata–Based Hyperdimensional Computing O Yilmaz Neural Computation, 2015 | 48 | 2015 |
| Stereo and Kinect fusion for continuous 3D reconstruction and visual odometry O Yilmaz, F Karakus Electronics, Computer and Computation (ICECCO), 2013 International …, 2013 | 45 | 2013 |
| Reservoir Computing using Cellular Automata O Yilmaz arXiv preprint arXiv:1410.0162, 2014 | 42 | 2014 |
| Machine Learning Using Cellular Automata Based Feature Expansion and Reservoir Computing O Yilmaz Journal of Cellular Automata 10 (5-6), 435-472, 2015 | 40 | 2015 |
| System and method for optimizing tracker system M Yagcioglu, E Yavuz, O Yilmaz, S Sandikci US Patent US20,140,212,000, 2014 | 30 | 2014 |
| Detection and localization of specular surfaces using image motion cues O Yilmaz, K Doerschner Machine vision and applications 25 (5), 1333-1349, 2014 | 17 | 2014 |
| Connectionist-Symbolic Machine Intelligence using Cellular Automata based Reservoir-Hyperdimensional Computing O Yilmaz arXiv preprint arXiv:1503.00851, 2015 | 16 | 2015 |
| Effects of surface reflectance and 3D shape on perceived rotation axis K Doerschner, O Yilmaz, G Kucukoglu, RW Fleming Journal of vision 13 (11), 8-8, 2013 | 15 | 2013 |
| Classification of occluded objects using fast recurrent processing O Yilmaz Machine Learning and Applications (ICMLA), 2015 IEEE 14th International …, 2015 | 9 | 2015 |
| Oscillatory synchronization model of attention to moving objects O Yilmaz Neural Networks 29, 20-36, 2012 | 8 | 2012 |
| Attraction of flashes to moving dots O Yilmaz, SP Tripathy, SS Patel, H Ogmen Vision research 47 (20), 2603-2615, 2007 | 8 | 2007 |
| How much computation and distributedness is needed in sequence learning tasks? M Margem, O Yilmaz Artificial General Intelligence, 274-283, 2016 | 7 | 2016 |
| A system and method for optimizing fiducial marker and camera positions/orientations E Okuyan, O Yilmaz US Patent US20,160,063,708, 2016 | 7 | 2016 |
| An experimental study on cellular automata reservoir in pathological sequence learning tasks M Margem, O Yilmaz Technical Report, http://ozguryilmazresearch.net/, 2016 | 5 | 2016 |
| A method for object tracking O Yilmaz US Patent US20160140727A1, 2016 | 4 | 2016 |
| A Proposal for Common Dataset in NeuralSymbolic Reasoning Studies A d’Avila Garcez, D Silver International Workshop on Neural-Symbolic Learning and Reasoning, NeSy, 2016 | 4* | 2016 |
| Cognitively inspired real-time vision core O Yilmaz, I Ozsarac, O Gunay, H Ozkan Technical Report,. Availabl e at http://ozguryilmazresearch. net …, 2015 | 4 | 2015 |
| Inhibitory surround and grouping effects in human and computational multiple object tracking O Yilmaz, S Guler, H Ogmen Human Vision and Electronic Imaging XIII 6806, 68060R, 2008 | 3 | 2008 |
Katja DoerschnerProfessor of Psychology, Giessen UniversityE-mail megerősítve itt: psychol.uni-giessen.de