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Results for cs.CV

Publications & Outputs

  1. IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data

    Zhang, Z., Angelov, P., Kangin, D. & Longepe, N., 13/05/2024, Arxiv.

    Research output: Working paper › Preprint

  2. Action Detection via an Image Diffusion Process

    Foo, L. G., Li, T., Rahmani, H. & Liu, J., 1/04/2024.

    Research output: Working paper › Preprint

  3. Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation

    Yang, X., Rahmani, H., Black, S. & Williams, B. M., 27/02/2024, Arxiv.

    Research output: Working paper › Preprint

  4. DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image Destriping

    Yang, S., Qin, H., Yuan, S., Yan, X. & Rahmani, H., 14/02/2024, Arxiv.

    Research output: Working paper › Preprint

  5. Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports

    Li, H., Deng, A., Ke, Q., Liu, J., Rahmani, H., Guo, Y. & Schiele, B., 14/02/2024, Arxiv.

    Research output: Working paper › Preprint

  6. Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning

    Baisa, N. L., Jiang, Z., Vyas, R., Williams, B., Rahmani, H., Angelov, P. & Black, S., 13/01/2021, In: arXiv.

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

  7. Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19

    Dialameh, M., Hamzeh, A., Rahmani, H., Radmard, A. R. & Dialameh, S., 28/12/2020, In: arxiv.org.

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

  8. DL-Reg: A Deep Learning Regularization Technique using Linear Regression

    Dialameh, M., Hamzeh, A. & Rahmani, H., 31/10/2020, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  9. Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference

    Angelov, P. & Soares, E., 2/02/2020, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  10. Towards Explainable Deep Neural Networks (xDNN)

    Angelov, P. & Soares, E., 5/12/2019, In: arXiv. p. 1-9 9 p.

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

  11. Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber

    Adams, C., Blake, A., Devitt, D., Lister, A., Nowak, J. & MicroBooNE collaboration, 7/05/2019, In: Physical Review D. 99, 9, 20 p., 092001.

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

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