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Results: 5
Number of items: 5
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Nguyen, D.-K., Oswald, M. R., & Snoek, C. G. M. (2025). SimPLR: A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation. Transactions on Machine Learning Research, 2025, Article 3114. https://doi.org/10.48550/arXiv.2310.05920 -
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 -
Nguyen, D.-K., Aggarwal, V., Li, Y., Oswald, M. R., Kirillov, A., Snoek, C. G. M., & Chen, X. (2024). R-MAE: Regions Meet Masked Autoencoders. In The Twelfth International Conference on Learning Representations: ICLR 2024 https://openreview.net/forum?id=ba84RDHFnz -
Nguyen, D.-K., Yu, J., Booij, O., Oswald, M. R., & Snoek, C. G. M. (2022). BoxeR: Box-Attention for 2D and 3D Transformers. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 4763-4772). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2111.13087, https://doi.org/10.1109/CVPR52688.2022.00473
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