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Results: 7
Number of items: 7
  • Open Access
    Rastegar, S., Salehi, M., Asano, Y. M., Doughty, H., & Snoek, C. G. M. (2025). SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery. 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. LXX, pp. 440–458). (Lecture Notes in Computer Science; Vol. 15128). Springer. https://doi.org/10.1007/978-3-031-72897-6_25
  • Open Access
    Salehi, S., Dorkenwald, M., Thoker, F. M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). SIGMA: Sinkhorn-Guided Masked Video Modeling. 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. XXIV, pp. 293-312). (Lecture Notes in Computer Science; Vol. 15082). Springer. https://doi.org/10.1007/978-3-031-72691-0_17
  • Open Access
    Sträter, L. P. J., Salehidehnavi, S., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. 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, Part XXXVII (Vol. XXXVII, pp. 448-465). (Lecture Notes in Computer Science; Vol. 15059). Springer. https://doi.org/10.1007/978-3-031-72913-3_25
  • Open Access
    Salehi, M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2023). Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 16490-16501). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01516, https://doi.org/10.48550/arXiv.2308.11796
  • Open Access
    Salehi, M., Mirzaei, H., Hendrycks, D., Li, Y., Rohban, M. H., & Sabokrou, M. (2022). A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. Transactions on Machine Learning Research, 2022, Article 234. https://openreview.net/forum?id=aRtjVZvbpK
  • Salehi, M., Arya, A., Pajoum, B., Otoofi, M., Shaeiri, A., Rohban, M. H., & Rabiee, H. R. (2021). ARAE: Adversarially robust training of autoencoders improves novelty detection. Neural Networks, 144, 726-736. https://doi.org/10.1016/j.neunet.2021.09.014
  • Open Access
    Salehi, M., Sadjadi, N., Baselizadeh, B., Rohban, M. H., & Rabiee, H. R. (2021). Multiresolution knowledge distillation for anomaly detection. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 14897-14907). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/CVPR46437.2021.01466
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