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Jason J. Corso
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[1] 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 ]
[2] 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 ]
[3] 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 ]
[4] L. Zhou, Y. Zhou, J. J. Corso, R. Socher, and C. Xiong. End-to-end dense video captioning with masked transformer. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2018. [ bib | code | .pdf ]
[5] Y. Yan, C. Xu, D. Cai, and J. J. Corso. Weakly supervised actor-action segmentation via robust multi-task ranking. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2017. [ bib ]
[6] V. Dhiman, Q.-H. Tran, J. J. Corso, and M. Chandraker. A continuous occlusion model for road scene understanding. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016. [ bib ]
[7] C. Xu and J. J. Corso. Actor-action semantic segmentation with grouping-process models. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016. [ bib | data ]
[8] J. Lu, R. Xu, and J. J. Corso. Human action segmentation with hierarchical supervoxel consistency. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015. [ bib | .pdf ]
[9] C. Xu, S.-H. Hsieh, C. Xiong, and J. J. Corso. Can humans fly? Action understanding with multiple classes of actors. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015. [ bib | poster | data | .pdf ]
[10] W. Chen, C. Xiong, R. Xu, and J. J. Corso. Actionness ranking with lattice conditional ordinal random fields. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2014. [ bib | poster | code | .pdf ]
[11] P. Das, C. Xu, R. F. Doell, and J. J. Corso. A thousand frames in just a few words: Lingual description of videos through latent topics and sparse object stitching. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013. [ bib | poster | data | .pdf ]
[12] C. Xu and J. J. Corso. Evaluation of super-voxel methods for early video processing. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012. [ bib | code | project | .pdf ]
[13] S. Sadanand and J. J. Corso. Action bank: A high-level representation of activity in video. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012. [ bib | code | project | .pdf ]
[14] T. J. Burns and J. J. Corso. Robust unsupervised segmentation of degraded document images with topic models. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009. [ bib | .pdf ]
[15] I. Nwogu and J. J. Corso. (BP)2: Beyond Pairwise Belief Propagation, Labeling by Approximating Kikuchi Free Energies. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[16] J. J. Corso. Discriminative Modeling by Boosting on Multilevel Aggregates. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[17] J. J. Corso, A. Yuille, and Z. Tu. Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical Computing. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | code | project | .pdf ]
[18] J. J. Corso and G. D. Hager. Coherent Regions for Concise and Stable Image Description . In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 184--190, 2005. [ bib | .pdf ]

last updated: Wed Dec 11 11:05:32 2019; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .