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SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training.

Y. Lin, C. Wei, H. Wang, A. Yuille, and C. Xie. ICCV, page 2459-2469. IEEE, (2023)

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Lin Lin

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AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition.Y. Wang, Y. Yue, Y. Lin, H. Jiang, Z. Lai, V. Kulikov, N. Orlov, H. Shi, and G. Huang. CVPR, page 20030-20040. IEEE, (2022)Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding.H. Jiang, Y. Lin, D. Han, S. Song, and G. Huang. CVPR, page 15492-15502. IEEE, (2022)SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training.Y. Lin, C. Wei, H. Wang, A. Yuille, and C. Xie. ICCV, page 2459-2469. IEEE, (2023)SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training.Y. Lin, C. Wei, H. Wang, A. Yuille, and C. Xie. CoRR, (2022)Self-Supervised Video Representation Learning with Meta-Contrastive Network.Y. Lin, X. Guo, and Y. Lu. ICCV, page 8219-8229. IEEE, (2021)EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks.M. Xin, S. Mo, and Y. Lin. CVPR Workshops, page 1462-1471. Computer Vision Foundation / IEEE, (2021)AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition.Y. Wang, Y. Yue, Y. Lin, H. Jiang, Z. Lai, V. Kulikov, N. Orlov, H. Shi, and G. Huang. CoRR, (2021)Text-Driven Image Editing via Learnable Regions.Y. Lin, Y. Chen, Y. Tsai, L. Jiang, and M. Yang. CoRR, (2023)REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering.Y. Lin, Y. Xie, D. Chen, Y. Xu, C. Zhu, and L. Yuan. NeurIPS, (2022)DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion.Y. Lin, R. Clark, and P. Torr. CoRR, (2024)

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Disambiguation of "Lin, Yuanze"

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SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training.

Please choose a person to relate this publication to

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lin, Yuanze"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training.

Please choose a person to relate this publication to

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

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SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training.