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Abdelrahman Eldesokey

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20142021

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  • Distractor-Aware Video Object Segmentation

    Robinson, A., Eldesokey, A. & Felsberg, M., 2021, Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Proceedings. Bauckhage, C., Gall, J. & Schwing, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 222-234 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13024 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Normalized convolution upsampling for refined optical flow estimation

    Eldesokey, A. & Felsberg, M., 2021, VISAPP. Farinella, G. M., Radeva, P., Braz, J. & Bouatouch, K. (eds.). SciTePress, p. 742-752 11 p. (VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; vol. 5).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Confidence Propagation through CNNs for Guided Sparse Depth Regression

    Eldesokey, A., Felsberg, M. & Khan, F. S., Oct 1 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 10, p. 2423-2436 14 p., 8765412.

    Research output: Contribution to journal › Article › peer-review

    100 Scopus citations

  • Uncertainty-aware CNNs for depth completion: Uncertainty from beginning to end

    Eldesokey, A., Felsberg, M., Holmquist, K. & Persson, M., 2020, p. 12011-12020. 10 p.

    Research output: Contribution to conference › Paper › peer-review

    76 Scopus citations

  • Propagating confidences through cNNs for sparse data regression

    Eldesokey, A., Felsberg, M. & Khan, F. S., 2019.

    Research output: Contribution to conference › Paper › peer-review

    22 Scopus citations

  • The seventh visual object tracking VOT2019 challenge results

    Kristan, M., Matas, J., Leonardis, A., Felsberg, M., Pflugfelder, R., Kämäräinen, J. K., Zajc, L. C., Drbohlav, O., Lukezic, A., Berg, A., Eldesokey, A., Kapyla, J., Fernández, G., Gonzalez-Garcia, A., Memarmoghadam, A., Lu, A., He, A., Varfolomieiev, A., Chan, A., Tripathi, A. S., & 30 othersSmeulders, A., Pedasingu, B. S., Chen, B. X., Zhang, B., Baoyuanwu, B., Li, B., He, B., Yan, B., Bai, B., Li, B., Li, B., Kim, B. H., Ma, C., Fang, C., Qian, C., Chen, C., Li, C., Zhang, C., Tsai, C. Y., Luo, C., Micheloni, C., Zhang, C., Chen, J., Li, J., Zhang, L., Tang, M., Zhang, P., Wang, Q. Z. Q., Liu, Y. & Zhang, Y., Oct 2019, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc., p. 2206-2241 36 p. 9022051. (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    314 Scopus citations

  • The sixth visual object tracking VOT2018 challenge results

    Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Zajc, L. Č., Vojír̃, T., Bhat, G., Lukežič, A., Eldesokey, A., Fernández, G., García-Martín, Á., Iglesias-Arias, Á., Alatan, A. A., González-García, A., Petrosino, A., Memarmoghadam, A., Vedaldi, A., Muhič, A., He, A., & 30 othersSmeulders, A., Perera, A. G., Li, B., Chen, B., Kim, C., Xu, C., Xiong, C., Tian, C., Luo, C., Sun, C., Hao, C., Kim, D., Mishra, D., Chen, D., Wang, D., Wee, D., Gavves, E., Gundogdu, E., Velasco-Salido, E., Khan, F. S., Yang, F., Zhao, F., Li, F., Battistone, F., De Ath, G., Li, J., Wang, N., Tao, R., Zhang, T. & Li, Y., 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 3-53 51 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11129 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    172 Scopus citations

  • Unpaired thermal to visible spectrum transfer using adversarial training

    Nyberg, A., Eldesokey, A., Bergström, D. & Gustafsson, D., 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 657-669 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11134 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations
View all 14 Research outputs