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ORCIDIbrahim Delibasoglu
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2020 – today
- 2024
[j5]Ibrahim Delibasoglu
:
Motion-aware object tracking for aerial images with deep features and discriminative correlation filter. Multim. Tools Appl. 83(30): 75369-75386 (2024)- [c4]Ibrahim Delibasoglu, Fredrik Heintz:
Time Series Anomaly Detection Leveraging MSE Feedback with AutoEncoder and RNN. TIME 2024: 17:1-17:12 - 2023
- [j4]Ibrahim Delibasoglu:
Moving object detection method with motion regions tracking in background subtraction. Signal Image Video Process. 17(5): 2415-2423 (2023) - 2022
- [j3]Ibrahim Delibasoglu, Irfan Kösesoy, Muhammed Kotan, Feyza Selamet:
Motion detection in moving camera videos using background modeling and FlowNet. J. Vis. Commun. Image Represent. 88: 103616 (2022) - [c3]Ibrahim Delibasoglu:
PESMOD: Small Moving Object Detection Benchmark Dataset for Moving Cameras. ICFSP 2022: 23-29 - 2021
- [j2]Ibrahim Delibasoglu:
INCSA-UNET INCSA-UNET: Spatial Attention Inception UNET for Aerial Images Segmentation. Comput. Informatics 40(6) (2021) - [j1]Ibrahim Delibasoglu:
Real-time motion detection with candidate masks and region growing for moving cameras. J. Electronic Imaging 30(6) (2021) - [i1]Ibrahim Delibasoglu:
UAV Images Dataset for Moving Object Detection from Moving Cameras. CoRR abs/2103.11460 (2021) - 2020
- [b1]Ibrahim Delibasoglu:
U-net tabanlı evrişimli sinir ağı ile uzaktan algılanmış görüntülerden otomatik bina tespiti (Automatic building detection from remotely sensed images with u-net based convolutional neural network). Yalova University, Turkey, 2020 - [c2]Ibrahim Delibasoglu, Müfit Çetin:
Building segmentation with Inception-Unet and classical methods. SIU 2020: 1-4
2010 – 2019
- 2011
- [c1]Ibrahim Delibasoglu, Cafer Avci, Ahmet Akbas:
ECG based sleep apnea detection using wavelet analysis of instantaneous heart rates. ISABEL 2011: 40:1-40:5
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