Publications

Back to publication index

Publications of year 2017

Articles in journal or book chapters

  • J.-B. Alayrac, P. Bojanowski, N. Agrawal, I. Laptev, J. Sivic, and S. Lacoste-Julien. Learning from Narrated Instruction Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP(2):134-152, 2017.


  • B. Ham, M. Cho, and J. Ponce. Robust Guided Image Filtering Using Nonconvex Potentials. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.


  • B. Ham, M. Cho, C. Schmid, and J. Ponce. Proposal Flow: Semantic Correspondences from Object Proposals. Accepted for publication IEEE Trans. on Pattern Analysis and Machine Intelligence, 2017.


  • 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.


  • K. Kohn, B. Sturmfels, and M. Trager. Changing Views on Curves and Surfaces. Submitted to Acta Mathematica Vietnamica, 2017.


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


  • G. Varol, I. Laptev, and C. Schmid. Long-term Temporal Convolutions for Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 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.



Back to publication index




Disclaimer:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.




This document was translated from BibTEX by bibtex2html