Emre Akbas
Emre Akbas
Middle East Technical University, Department of Computer Engineering
ceng.metu.edu.tr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
Pedestrian recognition with a learned metric
M Dikmen, E Akbas, TS Huang, N Ahuja
Asian Conference on Computer Vision (ACCV), 501-512, 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
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
Automatic image annotation by ensemble of visual descriptors
E Akbas, FTY Vural
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 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
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
Object detection through search with a foveated visual system
E Akbas, MP Eckstein
PLoS Computational Biology 13 (10), e1005743, 2017
Imbalance Problems in Object Detection: A Review
K Oksuz, BC Cam, S Kalkan, E Akbas
TPAMI, 2020
From ramp discontinuities to segmentation tree
E Akbas, N Ahuja
Asian Conference on Computer Vision (ACCV), 123-134, 2009
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
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
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
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
Low-level image segmentation based scene classification
E Akbas, N Ahuja
International Conference on Pattern Recognition (ICPR), 3623-3626, 2010
Automatic image annotation by ensemble of visual descriptors
E Akbaş
MIS-Boost: Multiple instance selection boosting
E Akbas, B Ghanem, N Ahuja
arXiv preprint arXiv:1109.2388, 2011
Generating positive bounding boxes for balanced training of object detectors
K Oksuz, BC Cam, E Akbas, S Kalkan
WACV, 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
Generation and analysis of segmentation trees for natural images
E Akbas
University of Illinois at Urbana-Champaign, 2011
A comparison of fuzzy ARTMAP and adaboost methods in image retrieval problems
E Akbas, OC Ozcanli, FY Vural
Proceedings of the IEEE 13th Signal Processing and Communications …, 2005
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20