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Results: 10
Number of items: 10
  • Başlamişli, A., Le, H.-A., & Gevers, T. (2022). ShapeNet Intrinsic Images v1.0 [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/rdqots
  • Lê, H.-A., Mensink, T., Das, P., Karaoglu, S., & Gevers, T. (2021). EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 1578-1588). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00162
  • Han, J., Karaoglu, S., Le, H.-A., & Gevers, T. (2021). Object features and face detection performance: Analyses with 3D-rendered synthetic data. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 9959-9966). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412915
  • Open Access
    Lê, H. .-Â., Nimbhorkar, T., Mensink, T., Baslamisli, A. S., Karaoglu, S., & Gevers, T. (2021). Automatic generation of dense non-rigid optical flow. Computer Vision and Image Understanding, 212, Article 103274. https://doi.org/10.1016/j.cviu.2021.103274
  • Open Access
    Lê, H. .-Â. (2021). Outdoor image understanding from multiple vision modalities. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Baslamisli, A. S., Das, P., Lê, H.-A., Karaoglu, S., & Gevers, T. (2021). ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition. International Journal of Computer Vision, 129(8), 2445–2473. https://doi.org/10.1007/s11263-021-01477-5
  • Open Access
    Le, H.-A., Mensink, T., Das, P., & Gevers, T. (2020). Novel View Synthesis from Single Images via Point Cloud Transformation. In 31st British Machine Vision Conference 2020: BMVC 2020, Virtual Event, UK, September 7-10, 2020 Article 51 BMVA Press.
  • Open Access
    Le, H.-A., Baslamisli, A. S., Mensink, T., & Gevers, T. (2018). Three for one and one for three: Flow, Segmentation, and Surface Normals. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 Article 201 BMVA Press.
  • Open Access
    Baslamisli, A. S., Le, H.-A., & Gevers, T. (2018). CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 6674-6683). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00698
  • Open Access
    Baslamisli, A. S., Groenestege, T. T., Das, P., Le, H.-A., Karaoglu, S., & Gevers, T. (2018). Joint Learning of Intrinsic Images and Semantic Segmentation. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018: proceedings (Vol. VI, pp. 289-305). (Lecture Notes in Computer Science; Vol. 11210). Springer. https://doi.org/10.1007/978-3-030-01231-1_18
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