Emre Akbas - Google Scholar

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Citations	760	551
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Narendra AhujaDonald Biggar Willet Professor, University of Illinois at Urbana-ChampagnVerified email at illinois.edu
Miguel EcksteinProfessor of Psychological and Brain Sciences, University of California, Santa BarbaraVerified email at psych.ucsb.edu
Fatos Tunay Yarman VuralDepartment of Computer Engineering, METUVerified email at ceng.metu.edu.tr
Mert DikmenGoogle Inc.Verified email at google.com
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
Sinan KalkanDept. of Computer Eng., Middle East Technical UniversityVerified email at ceng.metu.edu.tr
Barış Can ÇamMiddle East Technical UniversityVerified email at metu.edu.tr
kemal öksüzOrta Doğu Teknik ÜniversitesiVerified email at metu.edu.tr
Kathryn KoehlerUniversity of California, Santa BarbaraVerified email at psych.ucsb.edu
Muhammed KocabasPerceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck ETH Center for LearningVerified email at tue.mpg.de
Salih KaragozResearch EngineerVerified email at metu.edu.tr
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyVerified email at cs.hacettepe.edu.tr
Stephen MackUniversity of California, Santa BarbaraVerified email at psych.ucsb.edu
Ilke CuguR&D Engineer, Siemens AGVerified email at siemens.com
Samet HiçsönmezHacettepe UniversityVerified email at etu.edu.tr
Nermin SametComputer Engineering, METUVerified email at metu.edu.tr
Eren ŞenerGrad Student at Middle East Technical UniversityVerified email at metu.edu.tr
Bernard GhanemAssociate Professor, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Upamanyu MadhowProfessor of Electrical and Computer Engineering, University of California, Santa BarbaraVerified email at ece.ucsb.edu
aseem wadhwauniversity of california santa barbaraVerified email at ece.ucsb.edu

Emre Akbas

Middle East Technical University, Department of Computer Engineering

Verified email at ceng.metu.edu.tr - Homepage

computer vision deep learning machine learning object detection biologically inspired models


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Pedestrian recognition with a learned metric M Dikmen, E Akbas, TS Huang, N Ahuja Asian Conference on Computer Vision (ACCV), 501-512, 2010	361	2010
MultiPoseNet: Fast multi-person pose estimation using pose residual network M Kocabas, S Karagoz, E Akbas European Conference on Computer Vision (ECCV), 417-433, 2018	73	2018
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry M Kocabas, S Karagoz, E Akbas IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1077-1086, 2019	46	2019
Automatic image annotation by ensemble of visual descriptors E Akbas, FTY Vural 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	43	2007
Humans, but not deep neural networks, often miss giant targets in scenes MP Eckstein, K Koehler, LE Welbourne, E Akbas Current Biology 27 (18), 2827-2832. e3, 2017	42	2017
Localization Recall Precision (LRP): A new performance metric for object detection K Oksuz, B Can Cam, E Akbas, S Kalkan European Conference on Computer Vision (ECCV), 504-519, 2018	30	2018
From ramp discontinuities to segmentation tree E Akbas, N Ahuja Asian Conference on Computer Vision (ACCV), 123-134, 2009	30	2009
Object detection through search with a foveated visual system E Akbas, MP Eckstein PLoS Computational Biology 13 (10), e1005743, 2017	22	2017
Optimal and human eye movements to clustered low value cues to increase decision rewards during search MP Eckstein, W Schoonveld, S Zhang, SC Mack, E Akbas Vision Research 113, 137-154, 2015	18	2015
Imbalance Problems in Object Detection: A Review K Oksuz, BC Cam, S Kalkan, E Akbas IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) - in …, 2020	14	2020
A hierarchical classification system based on adaptive resonance theory M Uysal, E Akbas, FT Yarman-Vural International Conference on Image Processing (ICIP), 2913-2916, 2006	12	2006
Low-level hierarchical multiscale segmentation statistics of natural images E Akbas, N Ahuja IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 36 (9 …, 2014	10	2014
Low-level image segmentation based scene classification E Akbas, N Ahuja International Conference on Pattern Recognition (ICPR), 3623-3626, 2010	10	2010
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images I Cugu, E Sener, E Akbas 9th Int. Conf. on Image Processing Theory, Tools and Applications (IPTA), 2019	9*	2019
Automatic image annotation by ensemble of visual descriptors E Akbas Master’s thesis, Middle East Technical University, Ankara, Turkey, 2006	8	2006
Object detection through exploration with a foveated visual field E Akbas, MP Eckstein arXiv preprint arXiv:1408.0814, 2014	6	2014
MIS-Boost: Multiple instance selection boosting E Akbas, B Ghanem, N Ahuja arXiv preprint arXiv:1109.2388, 2011	5	2011
Generating positive bounding boxes for balanced training of object detectors K Oksuz, BC Cam, E Akbas, S Kalkan Accepted to WACV2020 - arXiv preprint arXiv:1909.09777, 2019	3	2019
Could we create a training set for image captioning using automatic translation? N Samet, S Hiçsönmez, P Duygulu, E Akbaş 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017	3	2017
Generation and analysis of segmentation trees for natural images E Akbas University of Illinois at Urbana-Champaign, 2011	3	2011

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