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Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks.

V. Jampani, M. Kiefel, and P. Gehler. CVPR, page 4452-4461. IEEE Computer Society, (2016)

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SPLATNet: Sparse Lattice Networks for Point Cloud Processing.H. Su, V. Jampani, D. Sun, S. Maji, E. Kalogerakis, M. Yang, and J. Kautz. CVPR, page 2530-2539. IEEE Computer Society, (2018)Learning Inference Models for Computer Vision.V. Jampani. University of Tübingen, Germany, (2017)Gated-SCNN: Gated Shape CNNs for Semantic Segmentation.T. Takikawa, D. Acuna, V. Jampani, and S. Fidler. CoRR, (2019)Boosting segmentation with weak supervision from image-to-image translation.E. Vorontsov, P. Molchanov, W. Byeon, S. Mello, V. Jampani, M. Liu, S. Kadoury, and J. Kautz. CoRR, (2019)Efficient Facade Segmentation Using Auto-context.V. Jampani, R. Gadde, and P. Gehler. WACV, page 1038-1045. IEEE Computer Society, (2015)On the Integration of Optical Flow and Action Recognition.L. Sevilla-Lara, Y. Liao, F. Güney, V. Jampani, A. Geiger, and M. Black. GCPR, volume 11269 of Lecture Notes in Computer Science, page 281-297. Springer, (2018)Learning Superpixels With Segmentation-Aware Affinity Loss.W. Tu, M. Liu, V. Jampani, D. Sun, S. Chien, M. Yang, and J. Kautz. CVPR, page 568-576. IEEE Computer Society, (2018)The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models.V. Jampani, S. Nowozin, M. Loper, and P. Gehler. Computer Vision and Image Understanding, (2015)Efficient 2D and 3D Facade Segmentation using Auto-Context.R. Gadde, V. Jampani, R. Marlet, and P. Gehler. CoRR, (2016)Pixel-Adaptive Convolutional Neural Networks.H. Su, V. Jampani, D. Sun, O. Gallo, E. Learned-Miller, and J. Kautz. CVPR, page 11166-11175. Computer Vision Foundation / IEEE, (2019)

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Disambiguation of "Jampani, Varun"

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Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks.

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Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks.