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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

C. Qi, H. Su, K. Mo, и L. Guibas. (2016)cite arxiv:1612.00593Comment: CVPR 2017.

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Qi Qi

Qi Li

Qi Sun

Qi Xu

Qi Wang

Другие публикации лиц с тем же именем

Volumetric and Multi-View CNNs for Object Classification on 3D DataC. Qi, H. Su, M. Niessner, A. Dai, M. Yan, и L. Guibas. (2016)cite arxiv:1604.03265.Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks.Z. Jia, S. Lin, C. Qi, и A. Aiken. ICML, том 80 из Proceedings of Machine Learning Research, стр. 2279-2288. PMLR, (2018)Teaching digital signal processing with Stanford's Lab-in-a-Box.F. Mujica, W. Esposito, A. Gonzalez, C. Qi, C. Vassos, M. Wieman, R. Wilcox, G. Kovacs, и R. Schafer. SP/SPE, стр. 307-312. IEEE, (2015)Frustum PointNets for 3D Object Detection From RGB-D Data.C. Qi, W. Liu, C. Wu, H. Su, и L. Guibas. CVPR, стр. 918-927. Computer Vision Foundation / IEEE Computer Society, (2018)Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving.J. Zheng, X. Shi, A. Gorban, J. Mao, Y. Song, C. Qi, T. Liu, V. Chari, A. Cornman, Y. Zhou и 2 other автор(ы). CoRR, (2021)Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.S. Ettinger, S. Cheng, B. Caine, C. Liu, H. Zhao, S. Pradhan, Y. Chai, B. Sapp, C. Qi, Y. Zhou и 8 other автор(ы). ICCV, стр. 9690-9699. IEEE, (2021)KPConv: Flexible and Deformable Convolution for Point Clouds.H. Thomas, C. Qi, J. Deschaud, B. Marcotegui, F. Goulette, и L. Guibas. ICCV, стр. 6410-6419. IEEE, (2019)Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.L. Jing, R. Yu, H. Kretzschmar, K. Li, C. Qi, H. Zhao, A. Ayvaci, X. Chen, D. Cower, Y. Li и 4 other автор(ы). ICRA, стр. 366-373. IEEE, (2022)Revisiting 3D Object Detection From an Egocentric Perspective.B. Deng, C. Qi, M. Najibi, T. Funkhouser, Y. Zhou, и D. Anguelov. NeurIPS, стр. 26066-26079. (2021)GINA-3D: Learning to Generate Implicit Neural Assets in the Wild.B. Shen, X. Yan, C. Qi, M. Najibi, B. Deng, L. Guibas, Y. Zhou, и D. Anguelov. CVPR, стр. 4913-4926. IEEE, (2023)

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