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FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection.

G. Ding, N. Imamoglu, A. Caglayan, M. Murakawa, and R. Nakamura. MLSP, page 1-6. IEEE, (2021)

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Ding Ding

Guanqun Shi

Reinhard Ding

Wei Ding

Other publications of authors with the same name

Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems.Y. Fang, G. Ding, W. Wen, F. Yuan, Y. Yang, Z. Fang, and W. Lin. IEEE Trans. Ind. Electron., 67 (11): 9893-9903 (2020)Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer.G. Ding, N. Imamoglu, A. Caglayan, M. Murakawa, and R. Nakamura. CoRR, (2023)SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks.G. Ding, N. Imamoglu, A. Caglayan, M. Murakawa, and R. Nakamura. Image Vis. Comput., (2022)Video Saliency Detection by 3D Convolutional Neural Networks.G. Ding, and Y. Fang. CoRR, (2018)Thermal Annealing Effect on Ultrafast Charge Transfer in All-Polymer Solar Cells with a Non-Fullerene Acceptor N2200F. Jin, G. Ding, Y. Wang, J. Yuan, W. Guo, H. Yuan, C. Sheng, W. Ma, and H. Zhao. The Journal of Physical Chemistry C, 121 (16): 8804--8811 (April 2017)SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks.G. Ding, N. Imamoglu, A. Caglayan, M. Murakawa, and R. Nakamura. CoRR, (2021)SalLiDAR: Saliency Knowledge Transfer Learning for 3D Point Cloud Understanding.G. Ding, N. Imamoglu, A. Caglayan, M. Murakawa, and R. Nakamura. BMVC, page 584. BMVA Press, (2022)Improved All-Polymer Solar Cell Performance by Using Matched Polymer AcceptorS. Shi, J. Yuan, G. Ding, M. Ford, K. Lu, G. Shi, J. Sun, X. Ling, Y. Li, and W. Ma. Advanced Functional Materials, 26 (31): 5669--5678 (2016)Salient Object Detection on Hyperspectral Images Using Features Learned from Unsupervised Segmentation Task.N. Imamoglu, G. Ding, Y. Fang, A. Kanezaki, T. Kouyama, and R. Nakamura. ICASSP, page 2192-2196. IEEE, (2019)Hyperspectral Image Dataset for Benchmarking on Salient Object Detection.N. Imamoglu, Y. Oishi, X. Zhang, G. Ding, Y. Fang, T. Kouyama, and R. Nakamura. QoMEX, page 1-3. IEEE, (2018)

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Disambiguation of "Ding, Guanqun"

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FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Guanqun Shi

Reinhard Ding

Wei Ding

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ding, Guanqun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Guanqun Shi

Reinhard Ding

Wei Ding

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection.