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Results: 3
Number of items: 3
  • Open Access
    Wei, W., Nejadasl, F. K., Gevers, T., & Oswald, M. R. (2025). T-MAE : Temporal Masked Autoencoders for Point Cloud Representation Learning. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. XI, pp. 178–195). (Lecture Notes in Computer Science; Vol. 15069). Springer. https://doi.org/10.1007/978-3-031-73247-8_11
  • Open Access
    Katona, Z., Mohammadi Ziabari, S. S., & Karimi Nejadasl, F. (2025). MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos. In A. Dasgupta, R. U. Kiran, R. El Shawi, S. Srirama, & M. Adhikari (Eds.), Big Data and Artificial Intelligence: 12th International Conference, BDA 2024, Hyderabad, India, December 17–20, 2024 : proceedings (pp. 183–199). (Lecture Notes in Computer Science; Vol. 15526). Springer. https://doi.org/10.1007/978-3-031-81821-9_11
  • Open Access
    Wei, W., Oswald, M. R., Karimi Nejadasl, F., & Gevers, T. (2023). APNet: Urban-Level Scene Segmentation of Aerial Images and Point Clouds. In 2023 IEEE/CVF International Conference on Computer Vision Workshops: proceedings: ICCVW 2023 : Paris, France, 2-6 October 2023 (pp. 1747-1756). IEEE Computer Society. https://doi.org/10.48550/arXiv.2309.17162, https://doi.org/10.1109/ICCVW60793.2023.00191
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