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Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.

M. Gadelha, A. RoyChowdhury, G. Sharma, E. Kalogerakis, L. Cao, E. Learned-Miller, R. Wang, and S. Maji. ECCV (10), volume 12355 of Lecture Notes in Computer Science, page 473-491. Springer, (2020)

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DocTr: Document Transformer for Structured Information Extraction in Documents.H. Liao, A. RoyChowdhury, W. Li, A. Bansal, Y. Zhang, Z. Tu, R. Satzoda, R. Manmatha, and V. Mahadevan. ICCV, page 19527-19537. IEEE, (2023)Unsupervised Hard Example Mining from Videos for Improved Object Detection.S. Jin, A. RoyChowdhury, H. Jiang, A. Singh, A. Prasad, D. Chakraborty, and E. Learned-Miller. ECCV (13), volume 11217 of Lecture Notes in Computer Science, page 316-333. Springer, (2018)The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation.P. Bideau, A. RoyChowdhury, R. Menon, and E. Learned-Miller. CVPR, page 508-517. Computer Vision Foundation / IEEE Computer Society, (2018)Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.M. Gadelha, A. RoyChowdhury, G. Sharma, E. Kalogerakis, L. Cao, E. Learned-Miller, R. Wang, and S. Maji. ECCV (10), volume 12355 of Lecture Notes in Computer Science, page 473-491. Springer, (2020)Improving Face Recognition by Clustering Unlabeled Faces in the Wild.A. RoyChowdhury, X. Yu, K. Sohn, E. Learned-Miller, and M. Chandraker. ECCV (24), volume 12369 of Lecture Notes in Computer Science, page 119-136. Springer, (2020)SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds.G. Sharma, B. Dash, M. Gadelha, A. RoyChowdhury, M. Loizou, E. Kalogerakis, L. Cao, E. Learned-Miller, R. Wang, and S. Maji. CoRR, (2021)Automatic adaptation of object detectors to new domains using self-training.A. RoyChowdhury, P. Chakrabarty, A. Singh, S. Jin, H. Jiang, L. Cao, and E. Learned-Miller. CVPR Workshops, page 22-32. Computer Vision Foundation / IEEE, (2019)

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Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.

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Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.