| 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 | 257 | 2013 |
| 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 | 89 | 2012 |
| 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 | 45 | 2018 |
| 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 | 44 | 2017 |
| 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 | 40 | 2018 |
| 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 | 40 | 2018 |
| Video saliency detection by gestalt theory Y Fang, X Zhang, F Yuan, N Imamoglu, H Liu Pattern Recognition 96, 106987, 2019 | 28 | 2019 |
| 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 | 24 | 2022 |
| 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 | 24 | 2022 |
| 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 | 23 | 2019 |
| 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 | 17 | 2018 |
| 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 | 17* | 2017 |
| 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 | 16 | 2020 |
| 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 | 16 | 2014 |
| 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 | 15 | 2019 |
| 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 | 14 | 2017 |
| 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 | 14 | 2013 |
| 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 | 12 | 2021 |
| Physics-Coupled Neural Network Magnetic Resonance Electrical Property Tomography (MREPT) for Conductivity Reconstruction A Jafet Garcia Inda, SY Huang, N İmamoğlu, W Yu IEEE Transactions on Image Processing 31, 3463 - 3478, 2022 | 11 | 2022 |
| An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness N Imamoglu, W Shimoda, C Zhang, Y Fang, A Kanezaki, K Yanai, ... Signal, Image and Video Processing, 1-8, 2018 | 10 | 2018 |
Yuming FangJiangxi University of Finance and Economics在 ntu.edu.sg 的电子邮件经过验证
