Jason J. Corso
Publications List
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tag: deep learning
[1]
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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.
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[2]
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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.
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.pdf ]
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[3]
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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.
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[4]
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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.
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.pdf ]
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[5]
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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.
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project |
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[6]
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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.
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.pdf ]
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[7]
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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.
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[8]
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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.
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[9]
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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.
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code |
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[10]
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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.
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code |
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[11]
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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.
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[12]
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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.
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.pdf ]
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[13]
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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).
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