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MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.

C. Wu, Y. Li, K. Mangalam, H. Fan, B. Xiong, J. Malik, and C. Feichtenhofer. CVPR, page 13577-13587. IEEE, (2022)

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From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting.K. Mangalam, Y. An, H. Girase, and J. Malik. ICCV, page 15213-15222. IEEE, (2021)Reversible Vision Transformers.K. Mangalam, H. Fan, Y. Li, C. Wu, B. Xiong, C. Feichtenhofer, and J. Malik. CoRR, (2023)Big Little Transformer Decoder.S. Kim, K. Mangalam, J. Malik, M. Mahoney, A. Gholami, and K. Keutzer. CoRR, (2023)It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction.K. Mangalam, H. Girase, S. Agarwal, K. Lee, E. Adeli, J. Malik, and A. Gaidon. ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 759-776. Springer, (2020)Diffusion Models as Masked Autoencoders.C. Wei, K. Mangalam, P. Huang, Y. Li, H. Fan, H. Xu, H. Wang, C. Xie, A. Yuille, and C. Feichtenhofer. ICCV, page 16238-16248. IEEE, (2023)LOKI: Long Term and Key Intentions for Trajectory Prediction.H. Girase, H. Gang, S. Malla, J. Li, A. Kanehara, K. Mangalam, and C. Choi. ICCV, page 9783-9792. IEEE, (2021)Reversible Vision Transformers.K. Mangalam, H. Fan, Y. Li, C. Wu, B. Xiong, C. Feichtenhofer, and J. Malik. CVPR, page 10820-10830. IEEE, (2022)Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens.E. Ben-Avraham, R. Herzig, K. Mangalam, A. Bar, A. Rohrbach, L. Karlinsky, T. Darrell, and A. Globerson. NeurIPS, (2022)Squeezeformer: An Efficient Transformer for Automatic Speech Recognition.S. Kim, A. Gholami, A. Shaw, N. Lee, K. Mangalam, J. Malik, M. Mahoney, and K. Keutzer. NeurIPS, (2022)Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting.K. Mangalam, and R. Garg. BMVC, page 374. BMVA Press, (2021)

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MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.

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MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.