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Results for Convolution

Publications & Outputs

  1. FADNet: Greenhouse Identification with Fusion Attention Mechanism and Deformable Convolution

    Liu, J., Xu, X., Bilal, M. & Jiang, J., 1/04/2024, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, p. 7170 - 7178 8 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Progressive Channel-Shrinking Network

    Pan, J., Yang, S., Foo, L. G., Ke, Q., Rahmani, H., Fan, Z. & Liu, J., 1/02/2024, In: IEEE Transactions on Multimedia. 26, p. 2016-2026 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. SSA-SiamNet: Spectral-Spatial-Wise Attention-Based Siamese Network for Hyperspectral Image Change Detection

    Wang, L., Wang, L., Wang, Q. & Atkinson, P. M., 31/01/2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60, 18 p., 5510018.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Fault diagnosis of a rotor-bearing system under variable rotating speeds using two-stage parameter transfer and infrared thermal images

    Shao, H., Li, W., Xia, M., Zhang, Y., Shen, C., Williams, D., Kennedy, A. & De Silva, C. W., 10/09/2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Semantic segmentation with hybrid pyramid pooling and stacked pyramid structure

    Lian, X., Pang, Y., Han, J. & Pan, J., 14/10/2020, In: Neurocomputing. 410, p. 454-467 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Attention module-based spatial-temporal graph convolutional networks for skeleton-based action recognition

    Kong, Y., Li, L., Zhang, K., Ni, Q. & Han, J., 30/08/2019, In: Journal of Electronic Imaging. 28, 4, 043032.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

    Miao, Y., Han, J., Gao, Y. & Zhang, B., 1/07/2019, In: Pattern Recognition Letters. 125, p. 113-118 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Taylor convolutional networks for image classification

    Wang, X., Li, C., Mou, Y., Zhang, B., Han, J. & Liu, J., 7/01/2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, p. 1271-1279 9 p. 8658713

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Auto-balanced filter pruning for efficient convolutional neural networks

    Ding, X., Ding, G., Han, J. & Tang, S., 27/04/2018, THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.. AAAI, p. 6797-6804 8 p. (THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Convolution semigroups of states.

    Lindsay, M. & Skalski, A. G., 02/2011, In: Mathematische Zeitschrift. 267, 1-2, p. 325-339 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review