Publications

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Publications of year 2017

Thesis

  • Rafael Sampaio de Rezende. New methods for image classification, image retrieval and semantic correspondence. PhD thesis, PSL Research University, 2017.


Articles in journal or book chapters

  • H. Idrees, A. R. Zamir, Y.-G. Jiang, A. Gorban, I. Laptev, R. Sukthankar, and M. Shah. The THUMOS challenge on action recognition for videos ''in the wild''. Computer Vision and Image Understanding, 155:1-23, 2017.


  • J. Ponce, B. Sturmfels, and M. Trager. Congruences and Concurrent Lines in Multi-View Geometry. Advances in Applied Mathematics, 88:62-91, 2017.


Conference articles

  • J.-B. Alayrac, J. Sivic, I. Laptev, and S. Lacoste-Julien. Joint Discovery of Object States and Manipulation Actions. In International Conference on Computer Vision, 2017.


  • K. Han, R. Rezende, B. Ham, K. K. Wong, M. Cho, C. Schmid, and J. Ponce. SCNet: Learning Semantic Correspondence. In International Conference on Computer Vision, 2017.


  • A. Miech, J.-B. Alayrac, P. Bojanowski, I. Laptev, and J. Sivic. Learning from Video and Text via Large-Scale Discriminative Clustering. In International Conference on Computer Vision, 2017.


  • A. Osokin, A. Chessel, R. E. Carazo Salas, and F. Vaggi. GANs for Biological Image Synthesis. In International Conference on Computer Vision, 2017.


  • J. Peyre, I. Laptev, C. Schmid, and J. Sivic. Weakly-supervised learning of visual relations. In International Conference on Computer Vision, 2017.


  • R. Rezende, J. Zepeda, J. Ponce, F. Bach, and P. Pérez. Kernel Square-Loss Exemplar Machines for Image Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.


  • I. Rocco, R. Arandjelovic, and J. Sivic. Convolutional neural network architecture for geometric matching. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.


  • M. Trager, B. Sturmfels, J. Canny, M. Hebert, and J. Ponce. General models for rational cameras and the case of two-slit projections. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.


  • G. Varol, J. Romero, X. Martin, N. Mahmood, Michael J. Black, I. Laptev, and C. Schmid. Learning from Synthetic Humans. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.



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