jcorso.selected.bib
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@inproceedings{GrCoCVPR2019,
author = {Griffin, B. and {\bf Corso}, {\bf J. J.}},
booktitle = {{Proceedings of IEEE Conference on Computer Vision and Pattern Recognition}},
projects = {selected},
researcharea = {CV},
tags = {computer vision, video understanding, hybrid intelligence, video segmentation, video object segmentation, segmentation},
title = {{BubbleNets}: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames},
url = {http://openaccess.thecvf.com/content_CVPR_2019/papers/Griffin_BubbleNets_Learning_to_Select_the_Guidance_Frame_in_Video_Object_CVPR_2019_paper.pdf},
venue = {CVPR},
year = {2019}
}
@inproceedings{ZhKaChCVPR2019,
author = {Zhou, L. and Kalantidis, Y. and Chen, X. and {\bf Corso}, {\bf J. J.} and Rohrbach, M.},
booktitle = {{Proceedings of IEEE Conference on Computer Vision and Pattern Recognition}},
projects = {selected},
researcharea = {CV},
tags = {computer vision, video to text, vision and language, video understanding},
title = {Grounded Video Description},
url = {http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Grounded_Video_Description_CVPR_2019_paper.pdf},
venue = {CVPR},
year = {2019}
}
@inproceedings{TaXuYaCVPR2019,
author = {Tang, H. and Xu, D. and Yan, Y. and Wang, Y. and {\bf Corso}, {\bf J. J.} and Sebe, N.},
booktitle = {{Proceedings of IEEE Conference on Computer Vision and Pattern Recognition}},
grants = {NIST 60NANB17D191},
projects = {selected},
researcharea = {CV},
tags = {computer vision, deep learning},
title = {Multi-Channel Attention Selection {GAN} with Cascaded Semantic Guidance for Cross-View Image Translation},
url = {http://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_Multi-Channel_Attention_Selection_GAN_With_Cascaded_Semantic_Guidance_for_Cross-View_CVPR_2019_paper.pdf},
venue = {CVPR},
year = {2019}
}
@inproceedings{ZhLoCoBMVC2018,
author = {Zhou, L. and Louis, N. and {\bf Corso}, {\bf J. J.}},
booktitle = {Proceedings of British Machine Vision Conference},
grants = {aro2015, d3m},
projects = {selected, aro2015, d3m},
researcharea = {CV},
tags = {video understanding, video to text, computer vision, object grounding, deep learning},
title = {Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction},
url = {http://bmvc2018.org/contents/papers/0070.pdf},
venue = {BMVC},
year = {2018}
}
@inproceedings{ZhZhCoCVPR2018,
author = {Zhou, L. and Zhou, Y. and {\bf Corso}, {\bf J. J.} and Socher, R. and Xiong, C.},
booktitle = {{Proceedings of IEEE Conference on Computer Vision and Pattern Recognition}},
codedownload = {https://github.com/LuoweiZhou/densecap},
grants = {aro2015, d3m},
projects = {aro2015, d3m, selected},
researcharea = {CV},
tags = {video understanding, computer vision, video to text},
title = {End-to-End Dense Video Captioning with Masked Transformer},
url = {http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_End-to-End_Dense_Video_CVPR_2018_paper.pdf},
venue = {CVPR},
year = {2018}
}
@inproceedings{ZhXuCoAAAI2018,
author = {Zhou, L. and Xu, C. and {\bf Corso}, {\bf J. J.}},
booktitle = {Proceedings of AAAI Conference on Artificial Intelligence},
codedownload = {https://github.com/LuoweiZhou/ProcNets-YouCook2},
datadownload = {http://youcook2.eecs.umich.edu},
grants = {aro2015, d3m},
projects = {selected, aro2015, d3m},
researcharea = {CV},
tags = {video to text, video understanding},
title = {Towards Automatic Learning of Procedures from Web Instructional Videos},
url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17344/16367},
venue = {AAAI},
year = {2018}
}
@inproceedings{SzCoICCV2017,
author = {Szeto, R. and {\bf Corso}, {\bf J. J.}},
booktitle = {Proceedings of IEEE International Conference on Computer Vision},
codedownload = {http://ryanszeto.com/projects/ch-cnn},
datadownload = {http://ryanszeto.com/projects/ch-cnn},
grants = {nsf_cri_fed, darpasoartechsttr2015, denso},
poster = {http://web.eecs.umich.edu/~jjcorso/pubs/szeto_iccv2017_poster.pdf},
projectpage = {http://ryanszeto.com/projects/ch-cnn},
projects = {human_in_loop_vision, denso, nsf_cri_fed, darpasoartechsttr2015, selected},
researcharea = {CV},
tags = {computer vision, viewpoint estimation, human-in-the-loop},
title = {Click-Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation},
url = {http://web.eecs.umich.edu/~jjcorso/pubs/szeto_clickhere_iccv2017_long.pdf},
venue = {ICCV},
year = {2017}
}
@article{XuCoIJCV2016,
author = {Xu, C. and {\bf Corso}, {\bf J. J.}},
grants = {career, mindseye, aroyip},
journal = {International Journal of Computer Vision},
pages = {272--290},
projects = {career, mindseye, aroyip, video, selected, supervoxels},
researcharea = {CV},
tags = {segmentation, computer vision, video understanding},
title = {{LIBSVX}: A Supervoxel Library and Benchmark for Early Video Processing},
venue = {IJCV},
volume = {119},
year = {2016}
}
@article{JoXiCoTKDE2016,
author = {Johnson, D. M. and Xiong, C. and {\bf Corso}, {\bf J. J.}},
doi = {http://dx.doi.org/10.1109/TKDE.2015.2507130},
grants = {cssgII, cssgIII, career},
journal = {IEEE Transactions on Knowledge and Data Engineering},
number = {4},
pages = {1035--1046},
projects = {cssgII, cssgIII, darpaace, career, nps, mindseye, selected},
researcharea = {DM},
tags = {data mining, machine learning, metric learning, semi-supervised},
title = {Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies},
url = {http://web.eecs.umich.edu/~jjcorso/pubs/johnson_tkde_preprint.pdf},
venue = {TKDE},
volume = {28},
year = {2016},
bdsk-url-2 = {http://dx.doi.org/10.1109/TKDE.2015.2507130}
}
@inproceedings{XuHsXiCVPR2015,
author = {Xu, C. and Hsieh, S.-H. and Xiong, C. and {\bf Corso}, {\bf J. J.}},
booktitle = {{Proceedings of IEEE Conference on Computer Vision and Pattern Recognition}},
datadownload = {http://web.eecs.umich.edu/~jjcorso/r/a2d},
grants = {career,aroyip},
poster = {http://web.eecs.umich.edu/~jjcorso/pubs/xu_corso_CVPR2015_A2D_poster.pdf},
projects = {career,selected,a2d, aroyip},
researcharea = {CV},
tags = {computer vision, activity recognition, video understanding, semantic segmentation},
title = {Can Humans Fly? {Action} Understanding with Multiple Classes of Actors},
url = {http://web.eecs.umich.edu/~jjcorso/pubs/xu_corso_CVPR2015_A2D.pdf},
venue = {CVPR},
year = {2015}
}
@inproceedings{XuXiChAAAI2015,
author = {Xu, R. and Xiong, C. and Chen, W. and {\bf Corso}, {\bf J. J.}},
booktitle = {Proceedings of AAAI Conference on Artificial Intelligence},
grants = {aroyip,career,mindseye},
projects = {selected,career,mindseye,video,videototext},
researcharea = {CV},
tags = {computer vision, natural language, video summarization, video understanding, video to text, deep learning},
title = {Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework},
url = {http://web.eecs.umich.edu/~jjcorso/pubs/xu_corso_AAAI2015_v2t.pdf},
venue = {AAAI},
year = {2015}
}
@inproceedings{XuWhCoICCV2013,
author = {Xu, C. and Whitt, S. and {\bf Corso}, {\bf J. J.}},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
grants = {career, aroyip, mindseye},
poster = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_iccv2013_hieflat_poster.pdf},
projectpage = {http://web.eecs.umich.edu/~jjcorso/r/supervoxels},
projects = {career, aroyip, mindseye, video, supervoxels, selected},
researcharea = {CV},
tags = {computer vision, segmentation, video understanding, hierarchical},
title = {Flattening Supervoxel Hierarchies by the Uniform Entropy Slice},
url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_ICCV2013_hieflat.pdf},
venue = {ICCV},
video = {http://youtu.be/BIPLRljS0d8},
year = {2013}
}
@inproceedings{DaXuDoCVPR2013,
author = {Das, P. and Xu, C. and Doell, R. F. and {\bf Corso}, {\bf J. J.}},
booktitle = {{Proceedings of IEEE Conference on Computer Vision and Pattern Recognition}},
datadownload = {http://web.eecs.umich.edu/~jjcorso/r/youcook},
grants = {aladdin,aroyip,career,mindseye},
poster = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_CVPR2013_dpmtm_poster.pdf},
projects = {selected,aladdin,career,mindseye,ontology,video,youcook, videototext},
researcharea = {CV},
tags = {computer vision, natural language, object detection, ontology, video summarization, video understanding, video to text},
title = {A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching},
url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_CVPR2013_dpmtm.pdf},
venue = {CVPR},
year = {2013}
}