Yeti Ziya Gürbüz

E-mail

ygurbuz@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-0244-7899

Scopus Author ID

55807590400

Blind Deinterleaving of Signals in Time Series with Self-Attention Based Soft Min-Cost Flow Learning Can, Oğul; Gürbüz, Yeti Ziya; Yildirim, Berkin; Alatan, Abdullah Aydın (2021-01-01) We propose an end-to-end learning approach to address deinterleaving of patterns in time series, in particular, radar signals. We link signal clustering problem to min-cost flow as an equivalent problem once the proper cos...
A NOVEL BOVW MIMICKING END-TO-END TRAINABLE CNN CLASSIFICATION FRAMEWORK USING OPTIMAL TRANSPORT THEORY Gürbüz, Yeti Ziya (2019-01-01) An end-to-end trainable convolutional neural network (CNN) framework which mimics bag of visual words (BoVW) is proposed for image classification. To this end, a new paradigm for histogram-like image representation is intr...
Roadesic Distance: Flow-Aware Tracklet Association Cost for Wide Area Surveillance Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2017-09-20) Long-term multi-target tracking via tracklet merging in wide area surveillance has crucial importance to improve tracker performances and operational requirements. Min-cost network flow formulation for multi-target trackin...
Association Cost Enforcing Spatial Consistency for Tracklet Merging Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2017-05-18) In this study, min-cost network flow formulation for multi-target tracking is adopted for the tracklet merging problem in wide area surveillance. In order to improve the continuity of the computed flows by the min-cost net...
AUTOMATIC ROAD DETECTION FROM GRAY LEVEL IMAGES IN WIDE AREA SURVEILLANCE OĞUL, Can; Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2016-07-17) Wide Area Surveillance (WAS) systems are capable of providing continuous surveillance of critical areas as wide as city center (approximately 20 km square), mostly as a gray-level video. Utilization of road information for...
Sparse recursive filtering for O 1 stereo matching Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2015-09-30) Recursive edge-aware filters have been proved to be one of the most efficient approaches for cost aggregation in stereo matching. However, disparity search space dependency, as a result of full search, is the bottle-neck o...
Sparse Recursive Cost Aggregation Towards O(1) Complexity Local Stereo Matching Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2015-05-19) The complexity of the local stereo matching methods mainly increases with disparity search range and cost aggregation step. Joint elimination of the those complexity factors is a challenging task as a consequence of the co...
Inshore Ship Detection in Multispectral Satellite Images Besbinar, Beril; Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2015-05-19) In this paper, a novel method is proposed for the detection of sea and inshore ships in satellite images which contain red, green, blue and near-infrared bands. For sea detection, an initial mask is obtained by thresholdin...
Tubularity Tracking Based Automatic Road Detection from Sattelite Images Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2014-04-25) In this paper, a novel approach based on tubularity tracking and graph cuts for road detection from satellites images is presented. The most important feature of the proposed method is its local peak detection filter. Unli...
Region of Interest Detection Based Fast and Robust Geo-Spatial Object Recognition Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2013-01-01) In this paper a novel computationally efficient algorithm to detect objects automatically from high definition satellite imagery with high performance is presented. The proposed algorithm has three main steps supporting ea...

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