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Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.

Z. Xu, Q. Huang, J. Park, M. Chen, D. Xu, D. Yang, D. Liu, и S. Zhou. MICCAI (3), том 10435 из Lecture Notes in Computer Science, стр. 338-346. Springer, (2017)

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Другие публикации лиц с тем же именем

Learning to Prune Filters in Convolutional Neural Networks.Q. Huang, S. Zhou, S. You, и U. Neumann. WACV, стр. 709-718. IEEE Computer Society, (2018)SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies.M. Vitelli, Y. Chang, Y. Ye, A. Ferreira, M. Wolczyk, B. Osinski, M. Niendorf, H. Grimmett, Q. Huang, A. Jain и 1 other автор(ы). ICRA, стр. 897-904. IEEE, (2022)Adaptive digital ridgelet transform and its application in image denoising.Q. Huang, B. Hao, и S. Chang. Digit. Signal Process., (2016)Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.Z. Xu, Q. Huang, J. Park, M. Chen, D. Xu, D. Yang, D. Liu, и S. Zhou. MICCAI (3), том 10435 из Lecture Notes in Computer Science, стр. 338-346. Springer, (2017)Recurrent Slice Networks for 3D Segmentation of Point Clouds.Q. Huang, W. Wang, и U. Neumann. CVPR, стр. 2626-2635. Computer Vision Foundation / IEEE Computer Society, (2018)SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation.W. Wang, R. Yu, Q. Huang, и U. Neumann. CVPR, стр. 2569-2578. Computer Vision Foundation / IEEE Computer Society, (2018)Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.D. Yang, T. Xiong, D. Xu, Q. Huang, D. Liu, S. Zhou, Z. Xu, J. Park, M. Chen, T. Tran и 3 other автор(ы). IPMI, том 10265 из Lecture Notes in Computer Science, стр. 633-644. Springer, (2017)Learning to Prune Filters in Convolutional Neural NetworksQ. Huang, K. Zhou, S. You, и U. Neumann. (2018)cite arxiv:1801.07365.Recurrent Slice Networks for 3D Segmentation on Point Clouds.Q. Huang, W. Wang, и U. Neumann. CoRR, (2018)

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