Search results
Results: 318
Number of items: 318
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Salehidehnavi, M., Apostolikas, N., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. In M. Cho, I. Laptev, D. Tran, A. Yao, & H. Zha (Eds.), Computer Vision – ACCV 2024: 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8–12, 2024 : proceedings (Vol. VI, pp. 445-461). (Lecture Notes in Computer Science; Vol. 15477). Springer. https://doi.org/10.1007/978-981-96-0960-4_27 -
Simoncini, W., Dorkenwald, M., Blankevoort, T., Snoek, C. G. M., & Asano, Y. M. (2025). Elastic ViTs from Pretrained Models without Retraining. In D. Belgrave, C. Zhang, H. Lin, R. Pascanu, P. Koniusz, M. Ghassemi, & N. Chen (Eds.), 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025): 2-7 December 2025, San Diego, California, USA and 30 November-5 December 2025, Mexico City, Mexico (pp. 27652-27682). (Advances in Neural Information Processing Systems; Vol. 38). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2510.17700, https://doi.org/10.52202/085713-0824
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Du, Y., Sun, W., & Snoek, C. G. M. (2025). IPO: Interpretable Prompt Optimization for Vision-Language Models. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 126725-126766). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-4025
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Nguyen, D.-K., Assran, M., Jain, U., Oswald, M. R., Snoek, C. G. M., & Chen, X. (2025). An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=tjNf0L8QjR
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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
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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
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Liu, J., Zhou, P., Du, Y., Tan, A.-H., Snoek, C. G. M., Sonke, J.-J., & Gavves, E. (2025). CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=KRv9NubipP
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Bhowmik, A., Derakhshani, M. M., Koelma, D., Asano, Y. M., Oswald, M. R., & Snoek, C. G. M. (2025). TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning. In 2025 IEEE/CVF International Conference on Computer Vision: ICCV 2025 : Honolulu, Hawaii, USA, 19-23 October 2025 : proceedings (pp. 1359-1368). IEEE Computer Society. https://doi.org/10.48550/arXiv.2410.10491, https://doi.org/10.1109/ICCV51701.2025.00134
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Kofinas, M., Knyazev, B., Zhang, Y., Chen, Y., Burghouts, G. J., Gavves, S., Snoek, C. G., & Zhang, D. (2024, May 8). CNN Wild Park - Graph Neural Networks for Learning Equivariant Representations of Neural Networks [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12797219
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