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Jason J. Corso
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tag: deep learning

[1] L. Zhou, H. Palangi, L. Zhang, H. Hu, J. J. Corso, and J. Gao. Unified vision-language pre-training for image captioning and vqa. In Proceedings of AAAI Conference on Artificial Intelligence, 2020. [ bib ]
[2] 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 ]
[3] 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 ]
[4] 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 ]
[5] X. Sun, R. Szeto, and J. J. Corso. A Temporally-Aware Interpolation Network for Video Frame Inpainting. In Proceedings of Asian Conference on Computer Vision (ACCV), 2018. [ bib | code | project | http ]
[6] L. Zhou, N. Louis, and J. J. Corso. Weakly-supervised video object grounding from text by loss weighting and object interaction. In Proceedings of British Machine Vision Conference, 2018. [ bib | .pdf ]
[7] S. Patel, B. Griffin, K. Kusano, and J. J. Corso. Predicting future lane changes of other highway vehicles using rnn-based deep models. Technical Report 1801.04340, ARXIV, 2018. [ bib | http ]
[8] M. R. Ganesh, E. Hofesmann, B. Min, N. Gafoor, and J. J. Corso. T-recs: Training for rate-invariant embeddings by controlling speed for action recognition. Technical Report 1803.08094, ARXIV, 2018. [ bib | http ]
[9] E. Hofesmann, M. R. Ganesh, and J. J. Corso. M-PACT: An open source platform for repeatable activity classification research. Technical Report 1804.05879, ARXIV, 2018. [ bib | code | http ]
[10] M. El Banani and J. J. Corso. Adviser networks: Learning what question to ask for human-in-the-loop viewpoint estimation. Technical Report 1802.01666, ARXIV, 2018. [ bib | code | http ]
[11] D. Sarikaya, J. J. Corso, and K. A. Guru. Detection and localization of robotic tools in robot-assisted surgery videos using deep neural networks for region proposal and detection. IEEE Transactions on Medical Imaging, 36(7):1542--1549, 2017. [ bib ]
[12] R. Xu, C. Xiong, W. Chen, and J. J. Corso. Jointly modeling deep video and compositional text to bridge vision and language in a unified framework. In Proceedings of AAAI Conference on Artificial Intelligence, 2015. [ bib | .pdf ]
[13] R. Szeto, X. Sun, K. Lu, and J. J. Corso. A Temporally-Aware Interpolation Network for Video Frame Inpainting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 (to appear). [ bib ]

last updated: Wed Dec 11 11:05:55 2019; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .