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Nevrez Imamoglu
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Year
A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform
N Imamoglu, W Lin, Y Fang
IEEE Transactions on Multimedia 15 (1), 96 - 105, 2013
2672013
Autonomous quadrotor flight with vision-based obstacle avoidance in virtual environment
A Eresen, N İmamoğlu, MÖ Efe
Expert Systems with Applications 39 (1), 894-905, 2012
892012
Light filed image quality assessment by local and global features of epipolar plane image
Y Fang, K Wei, J Hou, W Wen, N Imamoglu
2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-6, 2018
552018
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
N Imamoglu, Y Oishi, X Zhang, G Ding, Y Fang, T Kouyama, R Nakamura
10th Quality of Multimedia Experience (QoMEX 2018), 2018
472018
Satellite attitude determination and map projection based on robust image matching
T Kouyama, A Kanemura, S Kato, N Imamoglu, T Fukuhara, R Nakamura
Remote Sensing 9 (1), 90, 2017
462017
A novel superpixel-based saliency detection model for 360-degree images
Y Fang, X Zhang, N Imamoglu
Signal Processing: Image Communication 69, 1-7, 2018
442018
Video saliency detection by gestalt theory
Y Fang, X Zhang, F Yuan, N Imamoglu, H Liu
Pattern Recognition 96, 106987, 2019
322019
When CNNs meet random RNNs: Towards multi-level analysis for RGB-D object and scene recognition
A Caglayan, N Imamoglu, AB Can, R Nakamura
Computer Vision and Image Understanding 217, 103373, 2022
302022
Deep learning model for water/ice/land classification using large-scale medium resolution satellite images
V Poliyapram, N Imamoglu, R Nakamura
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
302019
SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks
G Ding, N İmamoğlu, A Caglayan, M Murakawa, R Nakamura
Image and Vision Computing 120, 104395, 2022
272022
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
N Imamoglu, G Ding, Y Fang, A Kanezaki, T Kouyama, R Nakamura
IEEE ICASSP 2019, 2019
202019
Canopy averaged chlorophyll content prediction of pear trees using convolutional autoencoder on hyperspectral data
S Paul, V Poliyapram, N İmamoğlu, K Uto, R Nakamura, DN Kumar
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
192020
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Convolutional Neural Networks with Feedback Model and m-PCNN Fusion
N Imamoglu, M Kimura, H Miyamoto, A Fujita, R Nakamura
British Machine Vision Conference (BMVC) 2017, 2017
19*2017
Exploring recurrent and feedback cnns for multi-spectral satellite image classification
N Imamoglu, P Martínez-Gómez, R Hamaguchi, K Sakurada, R Nakamura
Procedia Computer Science 140, 162-169, 2018
172018
Vital-CUBE: a non-contact vital sign monitoring system using medical radar for ubiquitous home healthcare
G Sun, S Gotoh, Z Zhao, S Kim, S Suzuki, N Imamoglu, W Yu, T Matsui
Journal of Medical Imaging and Health Informatics 4 (6), 863-867, 2014
162014
Hyperspectral image denoising via self-modulating convolutional neural networks
O Torun, SE Yuksel, E Erdem, N Imamoglu, A Erdem
Signal Processing 214, 109248, 2024
152024
Leveraging frequency based salient spatial sound localization to improve 360 video saliency prediction
M Cokelek, N Imamoglu, C Ozcinar, E Erdem, A Erdem
2021 17th International Conference on Machine Vision and Applications (MVA), 1-5, 2021
152021
Saliency Detection by Forward and Backward Cues in Deep-CNNs
N Imamoglu, C Zhang, W Shimoda, Y Fang, B Shi
IEEE International Conference on Image Processing (IEEE ICIP 2017), 2017
142017
Human body contour data based activity recognition
N Myagmarbayar, Y Yuki, N Imamoglu, J Gonzalez, M Otake, W Yu
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
142013
Physics informed neural networks (PINN) for low snr magnetic resonance electrical properties tomography (MREPT)
AJG Inda, SY Huang, N İmamoğlu, R Qin, T Yang, T Chen, Z Yuan, W Yu
Diagnostics 12 (11), 2627, 2022
132022
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