David Alexander Forsyth

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Research Output

An Approximate Shading Model with Detail Decomposition for Object Relighting

Liao, Z., Karsch, K., Zhang, H. & Forsyth, D., Jan 15 2019, In : International Journal of Computer Vision. 127, 1, p. 22-37 16 p.

Research output: Contribution to journalArticle

  • Counterfactual depth from a single RGB image

    Issaranon, T., Zou, C. & Forsyth, D., Oct 2019, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc., p. 2129-2138 10 p. 9022281. (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Fast, diverse and accurate image captioning guided by part-of-speech

    Deshpande, A., Aneja, J., Wang, L., Schwing, A. G. & Forsyth, D., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 10687-10696 10 p. 8953300. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Max-sliced wasserstein distance and its use for gans

    Deshpande, I., Hu, Y. T., Sun, R., Pyrros, A., Siddiqui, N., Koyejo, S., Zhao, Z., Forsyth, D. & Schwing, A. G., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 10640-10648 9 p. 8953668. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning Type-Aware Embeddings for Fashion Compatibility

    Vasileva, M. I., Plummer, B. A., Dusad, K., Rajpal, S., Kumar, R. & Forsyth, D., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Weiss, Y., Ferrari, V., Sminchisescu, C. & Hebert, M. (eds.). Springer-Verlag Berlin Heidelberg, p. 405-421 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11220 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution