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Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders.

, , , , and . CVPR, page 21769-21780. IEEE, (2023)

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Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders., , , , and . CoRR, (2022)Starting from Non-Parametric Networks for 3D Point Cloud Analysis., , , , , and . CVPR, page 5344-5353. IEEE, (2023)Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis., , , , , and . CoRR, (2023)Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis., , , and . WACV, page 1246-1255. IEEE, (2023)Development of BP Neural Network PID Controller and Its Application on Autonomous Emergency Braking System., , , , , , and . Intelligent Vehicles Symposium, page 1711-1716. IEEE, (2018)Causal Disentangled Recommendation against User Preference Shifts., , , , , and . ACM Trans. Inf. Syst., 42 (1): 12:1-12:27 (January 2024)Base-Load Cycling Capacity Adequacy Evaluation in Power Systems with Wind Power., , and . LSMS/ICSEE (3), volume 763 of Communications in Computer and Information Science, page 74-83. Springer, (2017)Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders., , , , and . CVPR, page 21769-21780. IEEE, (2023)Causal Disentangled Recommendation Against User Preference Shifts., , , , , and . CoRR, (2023)ChainedFilter: Combining Membership Filters by Chain Rule., , , , , , , and . Proc. ACM Manag. Data, 1 (4): 234:1-234:27 (December 2023)