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Results for Computer vision

Publications & Outputs

  1. Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks

    Zhang, S., Gao, M., Ni, Q. & Han, J., 14/04/2023, In: Neurocomputing. 530, p. 116-124 9 p.

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

  2. NOVA: Rendering Virtual Worlds with Humans for Computer Vision Tasks

    Kerim, A., Aslan, C., Celikcan, U., Erdem, E. & Erdem, A., 30/09/2021, In: Computer Graphics Forum. 40, 6, p. 258-272 15 p.

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

  3. Silver: Novel Rendering Engine for Data Hungry Computer Vision Models

    Kerim, A., Soriano Marcolino, L. & Jiang, R., 15/08/2021.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  4. Improving the longevity of optically-read quantum dot physical unclonable functions

    Longmate, K., Abdelazim, N., Ball, E., Majaniemi, J. & Young, R., 26/05/2021, In: Scientific Reports. 11, 8 p., 10999.

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

  5. 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

  6. Face Symmetry Analysis Using a Unified Multi-task CNN for Medical Applications

    Storey, G. & Jiang, R., 1/01/2019, IntelliSys 2018: Intelligent Systems and Applications: Proceedings of SAI Intelligent Systems Conference. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Cham: Springer, p. 451-463 13 p. Chapter 36. (Intelligent Systems and Applications; vol. 869).

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

  7. Integrated Deep Model for for Face Detection and Landmark Localization From "In The Wild " Images

    Storey, G., Bouridane, A. & Jiang, R., 19/11/2018, In: IEEE Access. 6, p. 74442-74452 11 p.

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

  8. Autonomous real-time object detection and identification

    Morris, G. B., 2017, Lancaster University. 215 p.

    Research output: Thesis › Doctoral Thesis

  9. Vision-based human action recognition using machine learning techniques

    Bux, A., 2017, Lancaster University. 173 p.

    Research output: Thesis › Doctoral Thesis

  10. Vision based human activity recognition: a review

    Bux, A., Angelov, P. P. & Habib, Z., 7/09/2016, Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Angelov, P., Gegov, A., Jayne, C. & Shen, Q. (eds.). Springer, p. 341-371 30 p. (Advances in Intelligent Systems and Computing; vol. 513).

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

  11. Single-image super-resolution using sparse regression and natural image prior

    Kim, K. I. & Kwon, Y., 2010, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 6, p. 1127-1133 7 p.

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

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