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Research Statement
- 3D deep learning, computational shape analysis and representation learning
Recent Publications
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C. Qi, X. Chen, O. Litany, and L. Guibas, ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
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C.Qi, O.Litany, K.He and L.Guibas, Deep Hough Voting for 3D Object Detection in Point Clouds, ICCV 2019. *Nominated for best paper award*
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Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Gunnemann, Michael M Bronstein. GEM workshop at ECML-PKDD, 2019
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Or Litany, Daniel Freedman, ICLR workshop on Learning from Limited Labeled Data, 2019. *Best Paper Award*
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Oshri Halimi, Or Litany, Emanuele Rodola, Alex M. Bronstein, Ron Kimmel; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 4370-4379
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