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Jason J. Corso
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[1] J. Y. Song, S. J. Lemmer, M. X. Liu, S. Yan, J. Kim, J. J. Corso, and W. S. Lasecki. Popup: Reconstructing 3d video using particle filtering to aggregate crowd responses. In Proceedings of ACM International Conference on Intelligent User Interfaces, 2019. [ bib | http ]
[2] H. Tang, X. Chen, W. Wang, D. Xu, J. J. Corso, N. Sebe, and Y. Yan. Attribute-guided sketch generation. In Proceedings of IEEE Conference on Automatic Face and Gesture Recognition, 2019. [ bib | http ]
[3] H. Tang, D. Xu, Y. Yan, Y. Wang, J. J. Corso, and N. Sebe. Multi-channel attention selection GAN with cascaded semantic guidance for cross-view image translation. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. [ bib | .pdf ]
[4] L. Zhou, Y. Kalantidis, X. Chen, J. J. Corso, and M. Rohrbach. Grounded video description. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. [ bib | .pdf ]
[5] B. Griffin and J. J. Corso. BubbleNets: Learning to select the guidance frame in video object segmentation by deep sorting frames. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. [ bib | .pdf ]
[6] B. Griffin and J. J. Corso. Tukey-inspired video object segmentation. In Proceedings of IEEE Winter Conference on Applications of Computer Vision, 2019. [ bib | http ]
[7] H. Huang, L. Zhou, W. Zhang, J. J. Corso, and C. Xu. Dynamic graph modules for modeling object-object interactions in activity recognition. In Proceedings of the British Machine Vision Conference, 2019. [ bib | .pdf ]
[8] K. Min and J. J. Corso. TASED-net: Temporally-aggregating spatial encoder-decoder network for video saliency detection. In Proceedings of IEEE International Conference on Computer Vision, 2019. [ bib | .pdf ]

last updated: Wed Dec 11 11:05:29 2019; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .