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Toplam kayıt 12, listelenen: 1-10
Deep learning for inverse problems in imaging
(IEEE, 2019)
Inverse problems have been widely studied in image processing, with applications in areas such as image denoising, blind/non-blind deblurring, super-resolution and compressive sensing. Lately deep learning techniques and ...
Spectrum occupancy prediction exploiting time and frequency correlations through 2D-LSTM
(Institute of Electrical and Electronics Engineers Inc., 2020)
The identification of spectrum opportunities is a pivotal requirement for efficient spectrum utilization in cognitive radio systems. Spectrum prediction offers a convenient means for revealing such opportunities based on ...
Analysis of deep learning based path loss prediction from satellite images
(Institute of Electrical and Electronics Engineers Inc., 2021)
Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands ...
Low-complexity deep learning-based beamforming in MISO systems
(Institute of Electrical and Electronics Engineers Inc., 2021)
This study proposes a low-complexity deep learning-based beamforming neural network (BFNN) for massive multiple-input single-output (MISO) systems. We adopt an unsupervised learning-based convolutional neural network (CNN) ...
Improved YOLOv4 for aerial object detection
(Institute of Electrical and Electronics Engineers Inc., 2021)
Drones equipped with cameras are being used for surveillance purposes. These surveillance systems need vision-based object detection of ground objects which look very small because of the altitude of drones. We propose an ...
VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results
(Institute of Electrical and Electronics Engineers Inc., 2021)
Vision Meets Drone: Multiple Object Tracking (VisDrone-MOT2021) challenge - the forth annual activity organized by the VisDrone team - focuses on benchmarking UAV MOT algorithms in realistic challenging environments. It ...
Small object detection and tracking from aerial imagery
(Institute of Electrical and Electronics Engineers Inc., 2021)
Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training ...
Deep learning-based blind image super-resolution using iterative networks
(Institute of Electrical and Electronics Engineers Inc., 2021)
Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ...
Infrared-to-optical image translation for keypoint-based image registration
(Institute of Electrical and Electronics Engineers Inc., 2022)
Multi-modal image registration is a critical step in many remote sensing and visual navigation applications. While image registration techniques developed for single modality images do not perform well for multi-modal ...
Hybrid CPU-GPU acceleration of a multithreaded image stitching algorithm
(Institute of Electrical and Electronics Engineers Inc., 2022)
Real-time image stitching is critical, especially in un-manned aerial vehicles, and its acceleration has received attention in recent years. This paper describes an image stitching acceleration scheme for heterogeneous ...