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Emre Akbas
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Citado por
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Ano
Imbalance Problems in Object Detection: A Review
K Oksuz, BC Cam, S Kalkan, E Akbas
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
4912020
Pedestrian recognition with a learned metric
M Dikmen, E Akbas, TS Huang, N Ahuja
Asian Conference on Computer Vision (ACCV), 501-512, 2010
4272010
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
3472018
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
3312019
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
1342018
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
972017
Object detection through search with a foveated visual system
E Akbas, MP Eckstein
PLoS Computational Biology 13 (10), e1005743, 2017
902017
HoughNet: Integrating near and long-range evidence for bottom-up object detection
N Samet, S Hicsonmez, E Akbas
European Conference on Computer Vision (ECCV), 2020
552020
GANILLA: Generative adversarial networks for image to illustration translation
S Hicsonmez, N Samet, E Akbas, P Duygulu
Image and Vision Computing 95, 103886, 2020
552020
Automatic image annotation by ensemble of visual descriptors
E Akbas, FTY Vural
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
532007
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
52*2019
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
K Oksuz, BC Cam, E Akbas, S Kalkan
NeurIPS (Spotlight paper), 2020
482020
Rank & sort loss for object detection and instance segmentation
K Oksuz, BC Cam, E Akbas, S Kalkan
IEEE/CVF International Conference on Computer Vision (ICCV), Oral paper, 2021
462021
System for estimating a pose of one or more persons in a scene
E Akbas, M Kocabas, MS Karagoz, N Berme
US Patent 11,074,711, 2021
392021
System for estimating a three dimensional pose of one or more persons in a scene
E Akbas, M Kocabas, MS Karagoz, N Berme
US Patent 10,853,970, 2020
322020
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
312015
Generating positive bounding boxes for balanced training of object detectors
K Oksuz, BC Cam, E Akbas, S Kalkan
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 894-903, 2020
302020
From ramp discontinuities to segmentation tree
E Akbas, N Ahuja
Asian Conference on Computer Vision (ACCV), 123-134, 2009
302009
One metric to measure them all: Localisation Recall Precision (LRP) for evaluating visual detection tasks
K Oksuz, BC Cam, S Kalkan, E Akbas
IEEE TPAMI (Transactions on Pattern Analysis and Machine Intelligence) 44 …, 2021
282021
System for estimating a three dimensional pose of one or more persons in a scene
E Akbas, B Karagoz, N Berme, CS Hobson, MC Baro
US Patent 11,182,924, 2021
202021
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